tag:blogger.com,1999:blog-39625629589037420582024-03-13T02:16:13.340+00:00Jonathan Haskel's BlogAn occasional blog on economics. Designed for students and those interested in Economics topics.Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comBlogger235125tag:blogger.com,1999:blog-3962562958903742058.post-79358340988308393732023-05-22T19:12:00.002+01:002023-05-22T19:12:21.129+01:00What is chain drift?<p> A nerdy blog. </p><p>1. many goods have lots of variation in prices e.g. with sales</p><p>2. suppose, says Eriwn Diewert in Scanner Data, Elementary Price Indexes and the Chain Drift Problem</p><p>Revised October 13, 2021 we have the following data where good 2 is never on sale, but good 1 is and gets a massively changing set of quanties, rising in the time, then returning, but importantly, not instantly, to initial quantities</p><p><br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhbrTQ12tiUfVCdJ2CLdZmdlXcLEUwdux0XcbasCTWJTZAwomG41dhAIMX-jCbNvNNvtuGhvbxDPQvDmJ18t8W4m5kSIUkYyDRr3WlZzMKp9nDvG2zBIv9Z2hGgx-PdgIHhOzzzw3T5JGFTEKv_9YivC2R4CmMBbZCUcosI0zPsvecTTCxpJi2h7opr" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="150" data-original-width="461" height="104" src="https://blogger.googleusercontent.com/img/a/AVvXsEhbrTQ12tiUfVCdJ2CLdZmdlXcLEUwdux0XcbasCTWJTZAwomG41dhAIMX-jCbNvNNvtuGhvbxDPQvDmJ18t8W4m5kSIUkYyDRr3WlZzMKp9nDvG2zBIv9Z2hGgx-PdgIHhOzzzw3T5JGFTEKv_9YivC2R4CmMBbZCUcosI0zPsvecTTCxpJi2h7opr" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjztFpOFktPuiLQVPIA-QNv5RQKNarlDWihNRs9iyG26DRV3kiz8Rf4IxC9dsJ_NOEvHLnMRRd_mC03ujwmHCWae6x3qR23xQPhrs7KyJwgFkErmbyI6DlL5PZL9G_PNRULvflmDjuNt9Atwf1wLBmefuFpVrsYz2lNB_aNOC1zJzRGk32T9zOBBfA2" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="112" data-original-width="450" height="80" src="https://blogger.googleusercontent.com/img/a/AVvXsEjztFpOFktPuiLQVPIA-QNv5RQKNarlDWihNRs9iyG26DRV3kiz8Rf4IxC9dsJ_NOEvHLnMRRd_mC03ujwmHCWae6x3qR23xQPhrs7KyJwgFkErmbyI6DlL5PZL9G_PNRULvflmDjuNt9Atwf1wLBmefuFpVrsYz2lNB_aNOC1zJzRGk32T9zOBBfA2" width="320" /></a></div><p><br /></p>3. beccause the post sale adjustment, plausible if, for example, its a durable good, is slow, chained weights do not return back to initial levels. <p></p><p>4. the table below shows "Table 2 lists the fixed base Fisher, Laspeyres and Paasche price indexes, PF(FB), PL(FB) and PP(FB) and as expected, they behave perfectly in period 4, returning to the period 1 level of 1. Then the chained Fisher, Törnqvist-Theil, Laspeyres and Paasche price indexes, PF(CH), PT(CH), PL(CH) and PP(CH) are listed. Obviously, the chained Laspeyres and Paasche indexes have chain drift bias that is extraordinary but what is interesting is that the chained Fisher has a 2% downward bias and the chained Törnqvist has a close to 3% downward bias."</p><p><br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgLKeKQ7nJA7q127hMbnVVpJvxt3ynuKn_ZOokP8VKIG6TB8NMQOKddj6OzcjHVPJ_KhxvwNQyPG1sZ8dsyFqqblsnkJfaG5Cu7724mL7f8ENivFpfsT4RYC-W5kvj9417j72QyUvq15a2R9Z5THmoi3YP_-Deks04vBBtqETHwhSop2aj1B4DkyEfF" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="272" data-original-width="1192" height="115" src="https://blogger.googleusercontent.com/img/a/AVvXsEgLKeKQ7nJA7q127hMbnVVpJvxt3ynuKn_ZOokP8VKIG6TB8NMQOKddj6OzcjHVPJ_KhxvwNQyPG1sZ8dsyFqqblsnkJfaG5Cu7724mL7f8ENivFpfsT4RYC-W5kvj9417j72QyUvq15a2R9Z5THmoi3YP_-Deks04vBBtqETHwhSop2aj1B4DkyEfF=w503-h115" width="503" /></a></div><br /><br /><br /><br /><p></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-9919983249594477582023-04-17T15:50:00.003+01:002023-04-17T15:50:46.052+01:00GDP and health: stocks, flows, output and outcomes<p> Interesting discussion at Imperial today. </p><p>1. The health of a nation can be thought of as an outcome (e.g. premature death) and/or a stock (the number of heavy smokers) and/or a flow (number of operations performed per year). </p><p>2. GDP is a flow. It is the flow of output via people purposefully employed in producing that output flow. It isn't outcomes. So a healthy society via social norms or parents helping their children produces an <i>outcome </i>but not an <i>output</i>. The output of health is operations done, patients seen. Which can of course be measured better.</p><p>3. Missing markets. Well, people at home are producing things as well. Not only with modern working from home, but reading to children, looking after family all of which produces a flow of services. But, we don't typically have that included in GDP since we don't know what price to allocate to that activity, since it's not an activity that's sold in the market. We could make some assumptions e.g. by taking the market price of a carer working for a care home but typically we don't do this. </p><p>4. So, GDP doesn't necessarily measure well-being. </p><p>5. In our <a href="https://www.letterone.com/media/1847/indigo-journal-december-2017.pdf">Indigo Prize essay</a> we explain more on GDP as a flow, adding up the flow of iPads, pencils and 737s, and going beyond GDP. And the <a href="https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandwellbeing/bulletins/healthinengland/2015to2020">ONS produces a dashboard of health outcome indicators</a>. </p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-68534652596661237932023-03-04T11:25:00.001+00:002023-03-04T11:25:28.400+00:00Policy-making under uncertainty: a case study<p> A <a href="https://www.ft.com/content/af7e1cfd-6fb4-4810-aeb7-01a32e858202">column</a> by Megan Greene, FT, Dec 2 2021 reminds me of the omicron situation in Winter 2021.</p><p><br /></p><p><a href="https://www.ft.com/content/27def1b9-b9c8-47a5-8e06-72e432e0838f">November 30, 2021</a></p><p><br /> The chief executive of Moderna has predicted that existing vaccines will be much less effective at tackling Omicron than earlier strains of coronavirus and warned it would take months before pharmaceutical companies could manufacture new variant-specific jabs at scale.</p><p><a href="https://www.economist.com/international/biontechs-vaccine-may-need-a-tweak-but-its-founder-is-unfazed/21806547">November 30th 2021</a></p><p><span style="color: #0d0d0d; font-family: MiloTE, MiloTESec, Charter, "Bitstream Charter", "Iowan Old Style", "Calisto MT", serif; font-size: 20.25px;">[Mr.Sahin is]...refusing to panic about the spread of Omicron, its newest variant. “I am personally not scared about the situation. We expected such a variant to come,” Ugur Sahin told </span><em style="border: 0px; color: #0d0d0d; font-family: MiloTE, MiloTESec, Charter, "Bitstream Charter", "Iowan Old Style", "Calisto MT", serif; font-size: 20.25px; font-stretch: inherit; font-variant-east-asian: inherit; font-variant-numeric: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">The Economist</em><span style="color: #0d0d0d; font-family: MiloTE, MiloTESec, Charter, "Bitstream Charter", "Iowan Old Style", "Calisto MT", serif; font-size: 20.25px;"> in an interview. He is co-founder and chief executive of BioNTech,</span></p><p><a href="https://news.bloomberglaw.com/pharma-and-life-sciences/vaccines-likely-to-protect-against-severe-cases-of-omicron-who">December 1st 2021</a></p><p><span style="background-color: white; color: #2a2c30; font-family: OpenSans, arial, sans-serif; font-size: 16px;">Vaccines will likely protect against severe Covid-19 cases from the new omicron variant...</span><span style="background-color: white; color: #2a2c30; font-family: OpenSans, arial, sans-serif; font-size: 16px;">WHO chief scientist </span><bsp .person="" state="{"_id":"0000017d-7a00-db30-a97d-7e4018d00000","_type":"00000160-6f41-dae1-adf0-6ff519590003"}" style="background-color: white; box-sizing: inherit; color: #2a2c30; font-family: OpenSans, arial, sans-serif; font-size: 16px;">Soumya Swaminathan</bsp><span style="background-color: white; color: #2a2c30; font-family: OpenSans, arial, sans-serif; font-size: 16px;"> said</span></p><p><br /><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-65436616221843449062022-07-22T17:38:00.000+01:002022-07-22T17:38:28.243+01:00The rise in UK inactivity since the pandemic and long-term sickness. <p> A draft working paper with Josh Martin. Comments welcome. </p><p><a href="https://www.imperial.ac.uk/people/j.haskel/document/9802/Haskel%20Martin%20sickness%20inactivity%20v2/?Haskel%20Martin%20sickness%20inactivity%20v2.pdf">Economic inactivity and the labour market experience of the long-term sick</a></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-83460368019856958352022-02-21T20:37:00.006+00:002022-02-21T20:39:22.150+00:00Prospects for business investment<p> The latest <a href="https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/businessinvestmentbyasset">ONS business investment data</a>, chained <a href="https://www.ons.gov.uk/file?uri=%2feconomy%2fgrossdomesticproductgdp%2fdatasets%2fbusinessinvestmentbyasset%2fcurrent/rftdataset7biba2021q4m2.xls">volume indices show</a> </p><p><br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjN4vjlceQKSHaLe1le8qhOG-x-UTjfC7I88gnl4Hk4GHKuKG-St_T-zknEqEt5HA9XET5KeCm0bdXBtHhztEzw0mkXKHT0FjRm2Z4e_DzxKkLG16LSjwOfqWI66qZF9jVRsiHRfCs-BRPVpZhyIi6cmnMyhv00iw86JZtTApbm1xeRzlYiJsTsBwKx" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="1091" data-original-width="1282" height="340" src="https://blogger.googleusercontent.com/img/a/AVvXsEjN4vjlceQKSHaLe1le8qhOG-x-UTjfC7I88gnl4Hk4GHKuKG-St_T-zknEqEt5HA9XET5KeCm0bdXBtHhztEzw0mkXKHT0FjRm2Z4e_DzxKkLG16LSjwOfqWI66qZF9jVRsiHRfCs-BRPVpZhyIi6cmnMyhv00iw86JZtTApbm1xeRzlYiJsTsBwKx=w400-h340" width="400" /></a></div><br /><br /><p></p><p>What do we make of this? </p><p>1. Overall investment took a beating in the financial crisis, then recovered. But it stalled again post the 2016 Brexit referendum. It collapsed in the pandemic, and has not recovered.</p><p>2. The lack of recovery is mainly due to the fall in buildings, which has hardly recovered at all. </p><p>3. IPP and ICT investment has stayed flattish and recovered respectively.</p><p>4. Transport equipment, which is very volatile anyway has continued on a downward trend. </p><p>5. Over the longer term, the constant is rising IPP investment. ICT investment is not even back to pre-financial crisis levels. Buildings is back to 1997 levels. </p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-19884185525684437652021-10-13T16:33:00.001+01:002021-10-13T16:33:07.901+01:00The power of log scales in showing exponential growth <p> From the always brilliant FT data people via <a href="https://twitter.com/ftdata/status/1421398482473078788/photo/1">Twitter</a> </p><p><br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://lh3.googleusercontent.com/-fvq8xhyhiTs/YWb7z8mhq2I/AAAAAAAACvg/GnjhReTosXQRru1OvEdBTC_776V_o_dHwCNcBGAsYHQ/image.png" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="" data-original-height="1396" data-original-width="1400" height="240" src="https://lh3.googleusercontent.com/-fvq8xhyhiTs/YWb7z8mhq2I/AAAAAAAACvg/GnjhReTosXQRru1OvEdBTC_776V_o_dHwCNcBGAsYHQ/image.png" width="241" /></a></div><br /><br /><p></p><p><br /></p><p><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-38102684536952337622021-05-28T12:08:00.005+01:002021-05-28T12:09:44.933+01:00Explanations for low productivity growth: some history<p>As this paper nicely points out, Shimaa Elkomy et al, "<a href="https://cusp.ac.uk/wp-content/uploads/pp-energy-report.pdf#ppem">Energy and Productivity, A review of the literature</a>" https://cusp.ac.uk/wp-content/uploads/pp-energy-report.pdf#ppem, the explanations seem to be rather the same: </p><p><br /></p><blockquote><p>"For example, in 1966 Cambridge economist Nicholas Kaldor pointed
to (and rejected) a number of common explanations for the UK’s declining
productivity growth. Many of these reappear in the UK government’s recent
industrial strategy (Table 2). Either we have made little progress in tackling
these issues in the intervening half century, or we have missed a key element
of productivity"</p></blockquote><p> </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://lh3.googleusercontent.com/-WMDsITOD3Wo/YLDOkRHBCyI/AAAAAAAACro/M9EZHyCFWCkiF79YgEr1CzLUhN7qgyaZwCNcBGAsYHQ/image.png" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="306" data-original-width="364" height="240" src="https://lh3.googleusercontent.com/-WMDsITOD3Wo/YLDOkRHBCyI/AAAAAAAACro/M9EZHyCFWCkiF79YgEr1CzLUhN7qgyaZwCNcBGAsYHQ/image.png" width="285" /></a></div><br />Kaldor, N. (1966) Causes of the Slow Rate of Economic Growth of the United
Kingdom: An Inaugural Lecture. Great Britain: University of Cambridge
Press<p></p><p>BEIS (2018) Industrial Strategy: Building a Britain Fit for the Future.
Available at:
78 | CUSP WORKING PAPER No 23
https://assets.publishing.service.gov.uk/government/uploads/system/
uploads/attachment_data/file/664563/industrial-strategy-whitepaper-web-ready-version.pdf (Accessed: 29/04 2018)</p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-1397208656412391732021-05-12T18:33:00.000+01:002021-05-12T18:33:18.207+01:00Has Globalisation Slowed Down<p> Happy to have done a Tuck/Dartmouth college panel on this. Here's some data from Pol Antras on "slowbalisation" <span style="font-size: 11pt; text-indent: -18pt;"><a href="https://scholar.harvard.edu/files/antras/files/deglobalization_sintra_antras.pdf">https://scholar.harvard.edu/files/antras/files/deglobalization_sintra_antras.pdf</a></span></p><p><br /></p><p>
</p><p class="Default" style="margin-left: 72.0pt; mso-list: l0 level2 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="font-size: 11.0pt; mso-fareast-font-family: Calibri;"><span style="mso-list: Ignore;">a.<span style="font: 7.0pt "Times New Roman";"> "</span></span></span><!--[endif]-->The world trade‐to‐GDP ratio –
a standard measure of globalisation – has recovered from its late 2008 low, while last year, the share
of migrants in world population attained its highest level since 1990</p>
<p class="Default" style="margin-left: 72.0pt; mso-list: l0 level2 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="font-size: 11.0pt; mso-fareast-font-family: Calibri;"><span style="mso-list: Ignore;">b.<span style="font: 7.0pt "Times New Roman";"> Concerning the </span></span></span><!--[endif]-->ratio of world trade to world GDP in the last
fifty years, 1970-2020<span style="font-size: 11.0pt;"><o:p></o:p></span></p>
<p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><!--[if !supportLists]--><span style="font-size: 11.0pt; mso-fareast-font-family: Calibri;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";">
</span>i.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]-->The ratio of world trade to world GDP
almost doubled (increasing by a factor of 1.72) during that period of
“hyperglobalisation”. <span style="font-size: 11.0pt;"><o:p></o:p></span></p>
<p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><!--[if !supportLists]--><span style="font-size: 11.0pt; mso-fareast-font-family: Calibri;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";">
</span>ii.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]-->I find that 80% of the growth in this ratio
occurred during the subperiod 1986‐2008. (Why? Combination of ICT, fall of communism, China, shipping
costs falling)<span style="font-size: 11.0pt;"><o:p></o:p></span></p>
<p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><!--[if !supportLists]--><span style="font-size: 11.0pt; mso-fareast-font-family: Calibri;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";">
</span>iii.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]-->Because many measures of globalisation are
simple ratios or shares that have natural upper bounds, I argue that growth
explosions in trade openness of the type experienced during the
hyperglobalisation of 1986‐2008 are simply not sustainable. In other words, a
period of “slowbalisation” was inevitable."<span style="font-size: 11.0pt;"><o:p></o:p></span></p><p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><br /></p><p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><br /></p><p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;">Here's his figure 1</p><p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><br /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/--qOp0Ia2GeI/YJwRPIV4JEI/AAAAAAAACq0/f2Mqr7GJ0g0JLC-EYn10wkHphJtz8B46gCNcBGAsYHQ/s541/Antras%2BWorld%2BTrade%2Band%2BWorld%2BGDP.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="374" data-original-width="541" height="281" src="https://1.bp.blogspot.com/--qOp0Ia2GeI/YJwRPIV4JEI/AAAAAAAACq0/f2Mqr7GJ0g0JLC-EYn10wkHphJtz8B46gCNcBGAsYHQ/w407-h281/Antras%2BWorld%2BTrade%2Band%2BWorld%2BGDP.PNG" width="407" /></a></div><br /><p class="Default" style="margin-left: 108.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; text-indent: -108.0pt;"><br /></p><br /><p></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-23726601314114813102021-02-02T10:52:00.001+00:002021-02-02T10:52:21.078+00:00Pass Through<p> This 2<a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/320912/Cost_Pass-Through_Report.pdf">014 paper on cost pass-through</a> is a nice summary. </p><p><br /></p><p>Our discussion of relevant theory is framed in terms of absolute pass-through: the degree to
which a given absolute change in cost causes an absolute change in price</p><p>The extent of industry-wide cost pass-through in a perfectly competitive market depends on
the elasticity of demand relative to supply. The more elastic is demand, and the less elastic
is supply, the smaller the extent of pass-through, all else being equal</p><p><br /></p><p>With other market structures, economic theory indicates that: </p><p>– Pass-through depends on the curvature of demand. It is greater with convex inverse demand (the inverse demand curve becomes steeper as output decreases) and
smaller with concave inverse-demand (the inverse demand curve becomes flatter as
output decreases), all else being equal. </p><p>– Pass-through is smaller when marginal cost curves slope upwards (i.e. marginal cost
increases as output increases) and greater when marginal cost curves slope
downwards (i.e. marginal cost falls as output increases). </p><p>– Pass-through in excess of 100% is possible when inverse-demand is convex enough
and/or when there are strong increasing returns to scale such that marginal cost curves
slope sufficiently downwards. Industry-wide cost increases can result in increased
profits when demand is very convex.</p><p>Many theoretical models indicate that pass-through of industry-wide cost changes increases
with the intensity of competition1
, provided that inverse demand is not very convex,</p><p>The paper usefully illustrates some examples of industry curvature.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://lh3.googleusercontent.com/-YUPC03bNjq4/YBkrl7JV1YI/AAAAAAAACmg/j_9K0qAFRvgPHG-kTJ7Yu1ht6lKFvCnRwCNcBGAsYHQ/image.png" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="207" data-original-width="592" height="112" src="https://lh3.googleusercontent.com/-YUPC03bNjq4/YBkrl7JV1YI/AAAAAAAACmg/j_9K0qAFRvgPHG-kTJ7Yu1ht6lKFvCnRwCNcBGAsYHQ/image.png" width="320" /></a></div><br /><br /><p></p><p>"Suppose that a monopolist faces an increase in its unit costs. The monopolist will consider its
scope to adjust its price upwards. </p><p>The monopolist will think: “how much output do I have to
sacrifice to pass on a certain amount of this change in my costs?” If the answer is “very little”,
passing on the cost shock will be more attractive; if the answer is “a lot”, passing on the cost
shock will be less attractive. The answer to the monopolist’s question is related to the curvature
of demand. Other things being equal, pass-through will be lower if inverse demand is concave
(because passing on the cost increase will cause a relatively large fall in output). On the other
hand, pass-through will be higher with convex demand (since passing on the cost increase has
a smaller impact on volumes)."</p><p>A useful formula in <a href="https://ideas.repec.org/p/cep/cepdps/dp1638.html">Genakos, 2019</a>, summarises this. </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://lh3.googleusercontent.com/-Xh8GR_kATkM/YBksR43DfDI/AAAAAAAACmo/SPnJaAvHg-M0b4etP4uEexYwpI4EcjvhACNcBGAsYHQ/image.png" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="73" data-original-width="245" height="95" src="https://lh3.googleusercontent.com/-Xh8GR_kATkM/YBksR43DfDI/AAAAAAAACmo/SPnJaAvHg-M0b4etP4uEexYwpI4EcjvhACNcBGAsYHQ/image.png" width="320" /></a></div><br /><br /><p></p><p>where </p><p></p><ul style="text-align: left;"><li>rho is the impact of an incrase in marginal cost on price</li><li>theta is price marginal cost margin times product demand elasticity, an intensity of competition index (theta=0 competition, theta=1 monopoly)</li><li>es the elasticity of supply </li><li>ems is the curvature of demand (strictly the curvature of log demand). </li><li>etheta how intensity varies with quantity</li></ul><p></p><p><br /></p><p>special cases</p><p></p><ul style="text-align: left;"><li>theta=0, <br /><div class="separator" style="clear: both; text-align: center;"><a href="https://lh3.googleusercontent.com/-uhe1Vfc9f6Y/YBkth_ktURI/AAAAAAAACm0/8QKWhpusOIEFS_nQV8_wRyydfEdF2vFHgCNcBGAsYHQ/image.png" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="20" data-original-width="355" height="18" src="https://lh3.googleusercontent.com/-uhe1Vfc9f6Y/YBkth_ktURI/AAAAAAAACm0/8QKWhpusOIEFS_nQV8_wRyydfEdF2vFHgCNcBGAsYHQ/image.png" width="320" /></a></div></li><li><div class="separator" style="clear: both; text-align: center;">MC=constant, ed-theta/es = 0; demand linear ems=1, then rho=1/1+theta and so more monoply means less pass-through. </div></li></ul><p></p><p><br /></p><p><br /></p><p><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-22520751624435063512020-11-30T19:46:00.000+00:002020-11-30T19:46:13.475+00:00Supply chains and the UK productivity puzzle: a framework<p></p><p><span style="color: black; font-size: 13.5pt;">An interesting <a href="https://www.alliancembs.manchester.ac.uk/research/productivity/">Productivity Institute</a> meeting today on supply chains. </span></p><p><span style="color: black; font-size: 13.5pt;">One of the features discussed about
the UK productivity puzzle is under the heading of “supply chain management”. <span style="mso-spacerun: yes;"> </span>Maybe British supply chain productivity is
very low. Maybe British supply chain productivity is not resilient enough, see COVID
and issues around Chinese involvement in 3G technology for example.<span style="mso-spacerun: yes;"> </span>so how should we think about supply chains?
How should we answer questions about whether supply chain management is or is
not adequate? <o:p></o:p></span></p>
<p><span style="color: black; font-size: 13.5pt;">Let's start with an example.<span style="mso-spacerun: yes;"> </span>Suppose we have three types of law firms. <o:p></o:p></span></p>
<p style="margin-left: 54.0pt; mso-list: l0 level1 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">1.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Law firm 1 employes a building, a receptionist,
an operations manager, and a load of lawyers. <span style="mso-spacerun: yes;"> </span>The process within the law firm consists of
the following. <span style="mso-spacerun: yes;"> </span>The client comes into the
building and is greeted by the receptionist who then takes the client up to the
lawyer. <span style="mso-spacerun: yes;"> </span>The lawyer gives the client an
opinion , and the client pays and walks away.<span style="mso-spacerun: yes;">
</span>The operations manager designs the process by which the receptionist takes
the client up to the lawyer (offering them tea, helping with directions to the next
appointment etc.)<span style="mso-spacerun: yes;"> </span>Notice, the client
never sees the operations manager, and although the client sees the
receptionist, neither the receptionist nor the ops manager is a trained lawyer.
<o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 54.0pt; mso-list: l0 level1 lfo1; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -18.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">2.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">We then
have some definitions as follows:<o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 90.0pt; mso-list: l0 level2 lfo1; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -18.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">a.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Industry.<span style="mso-spacerun: yes;"> </span>the law firm is in the law industry because
its output is legal services. <o:p></o:p></span></p>
<p style="margin-left: 90.0pt; mso-list: l0 level2 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">b.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Process. The visible processes which the
law firm is involved in consists of the process carried out by the receptionist
and the process carried out by the lawyer. <o:p></o:p></span></p>
<p style="margin-left: 90.0pt; mso-list: l0 level2 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">c.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Activity.<span style="mso-spacerun: yes;">
</span>The law firm is in fact involved in three different activities: <o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 126.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -126.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";">
</span>i.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">the
provision of reception services, <o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 126.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -126.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";">
</span>ii.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">of
operations services , <o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 126.0pt; mso-list: l0 level3 lfo1; mso-text-indent-alt: -9.0pt; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -126.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";">
</span>iii.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">and
legal advice.<span style="mso-spacerun: yes;"> </span><o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 90.0pt; mso-list: l0 level2 lfo1; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -18.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">d.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Lots
of the lawyers in law firms moan endlessly about the fact that out of their
fees comes the expenses of the receptionists and the operations managers, none
of whom know anything about the law. Likewise academics who complain about
administrators and admission staff who know nothing about academia, footballers
who complain about groundstaff who can't play football etc.<o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 54.0pt; mso-list: l0 level1 lfo1; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -18.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">3.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">now
consider law firm 2. They have contracted out reception services to a separate
firm, who has simply bolted a flat screen TV screen to the wall of the front office
and provides receptionist services remotely. <o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; margin-left: 54.0pt; mso-list: l0 level1 lfo1; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: -18.0pt; widows: 2; word-spacing: 0px;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">4.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Now
consider law firm 3. They have also contracted at reception services, but they as
well they have contracted out operations management to a management consultant.
the management consultant as supplied them with the book setting out a set of
routines to which, let us say, the receptionist adheres, when taking the client
up to the lawyer.<o:p></o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; widows: 2; word-spacing: 0px;"><span style="color: black; font-size: 13.5pt;"><o:p> </o:p></span></p>
<p><span style="color: black; font-size: 13.5pt;">What can we say about
productivity and the adequacy or otherwise of supply chain management in these
examples?<o:p></o:p></span></p>
<p style="margin-left: 54.0pt; mso-list: l1 level1 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">1.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Let's start with the definition of a
supply chain. Law firm one has an entirely internal supply chain, in this case the
process by which the receptionist hands over the client to the lawyer. That
supply chain is presided over by the operations manager. <span style="mso-spacerun: yes;"> </span>Law firm three has a supply chain, but it is
external. That is to say, the services provided by the receptionist and by the
operations manager in simply bought in externally. <o:p></o:p></span></p>
<p style="margin-left: 54.0pt; mso-list: l1 level1 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">2.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Going back to the activities that are
involved, in firm one the operations manager provides operations advice
services, but this is done internally. If one had the management accounts for
this firm, and one could figure out the wages and overhead costs of the
operations manager, one could therefore figure out the costs involved in the
provision of those advice services. In case 3 the matter is much easier; one
just looks at how much the firm is paying to the management consultant. <o:p></o:p></span></p>
<p style="margin-left: 54.0pt; mso-list: l1 level1 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">3.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">What about measuring productivity? there
would seem to be two methods: <o:p></o:p></span></p>
<p style="margin-left: 54.0pt; mso-list: l1 level1 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">4.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">method 1. <span style="mso-spacerun: yes;"> </span>Process. <o:p></o:p></span></p>
<p style="margin-left: 90.0pt; mso-list: l1 level2 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">a.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">In law firm one, break up the firm into
the different processes that are involved. Try to measure the productivity of
each process. So there will in practise be two output measures; first, the output
of the reception process, and 2nd the output of offering legal advice after the
client has been through the process of reception. <o:p></o:p></span></p>
<p style="margin-left: 90.0pt; mso-list: l1 level2 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">b.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">In this case, one would have to try as
well to allocate costs such as the operations manager into each process. This
of course it's much easier to do in the case of law firm 3 since every part of
the process is transacted for. Thus there is going to be an observable price and
quantity for the entire provision of legal advice. <o:p></o:p></span></p>
<p style="margin-left: 54.0pt; mso-list: l1 level1 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">5.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Method 2.<span style="mso-spacerun: yes;">
</span>Activity. <o:p></o:p></span></p>
<p style="margin-left: 90.0pt; mso-list: l1 level2 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">a.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">For every law firm count the output as the
provision of legal advice, so there is only one measure of output. However, account
for the fact that different law firms undertake different activities, and these
activities might potentially contribute to productivity. In each of the
examples the activities are (a) reception activities, (b) giving-legal-advice-activities,
and (c) operations activities. <span style="mso-spacerun: yes;"> </span><o:p></o:p></span></p>
<p style="margin-left: 90.0pt; mso-list: l1 level2 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">b.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">Although measuring the activities is hard,
by taking an activities rather than a process approach, one avoids the almost
impossible problem of subdividing the output of legal advice into lots of
different processes. <span style="mso-spacerun: yes;"> </span>Indeed, in many law
firms , who keep time sheets of chargeable hours, it might very well be
feasible to gather data on the activity, because it is the different activities
that are documented on the charge sheets (for example many charge sheets might
categorise the activities of being with clients, marketing and customer
acquisition, personnel and administration).<span style="mso-spacerun: yes;">
</span><o:p></o:p></span></p><p style="margin-left: 90.0pt; mso-list: l1 level2 lfo2; text-indent: -18.0pt;"><span style="color: black; font-size: 13.5pt;">c. This activity approach would, under certain circumstances, count the knowledge of the ops manager as an intangible asset. For more on intangibles, see <a href="https://www.amazon.co.uk/Capitalism-Without-Capital-Intangible-Economy/dp/0691175039">here</a>. </span></p>
<p style="margin-left: 54.0pt; mso-list: l1 level1 lfo2; text-indent: -18.0pt;"><!--[if !supportLists]--><span style="color: black; font-size: 13.5pt;"><span style="mso-list: Ignore;">6.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><!--[endif]--><span style="color: black; font-size: 13.5pt;">(Finally, an overall point on the economic
modelling of all of this.<span style="mso-spacerun: yes;"> </span>As Milgrom,
Roberts and others Have pointed out, economists have a very stripped down model
of the firm. When economists write down what is called a production function, they
assert, on the face of it quite sensibly, the output is produced by capital and
Labour. What many supply chain managers and the academics who study them will
tell you is that production requires as well coordination activities. Economists
tend not to bother modelling these coordination activities separately. They are
either included in labour, or viewed as being small enough for one to ignore.)<o:p></o:p></span></p>
<p><span style="color: black; font-size: 13.5pt;"><o:p> </o:p></span></p>
<p style="-webkit-text-stroke-width: 0px; font-variant-caps: normal; font-variant-ligatures: normal; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; widows: 2; word-spacing: 0px;"><span style="color: black; font-size: 13.5pt;"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p><br /><p></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-12237140527380249742020-11-26T16:27:00.001+00:002020-11-26T16:27:22.044+00:00R&D and intangible investment: evidence from a survey<p> In our work on intangibles, we keep stressing that it is broader than R&D. Here's <a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/919052/4565_-_DCMS_RD_in_Creative_Industries_Survey_-_Report_-_D8_PDF.pdf">some evidence </a>. </p><p><br /></p><p>" Research comprised a telephone survey of 625 respondents
across nine creative industry sub-sectors and was undertaken before the COVID-19
lockdown."</p><p><br /></p><p>"This report considers R&D in the creative industries using two existing
definitions: the broad OECD Frascati definition, used in official international surveys,
and the definition used by HMRC for tax credit purposes. More than half (55%) of
firms had undertaken R&D using the broad Frascati definition but only 14% had
done so using the definition for tax. IT, software & computer services firms were the
most likely to have conducted R&D activity under either definition (71%), with
museums, galleries & libraries least likely (27%)."</p><p><br /></p><p>In more detail, firms were asked a broad and narrow definition of R&D. Here's the questions and the answers: </p><p><br /></p><p><br /></p><p><br /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-y4PoLS2uv_g/X7_XUTwF9OI/AAAAAAAACjI/IWJTGaaPIsAQqRg8NRK9r9u7Y0k2etK6gCNcBGAsYHQ/s587/RDdefs.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="554" data-original-width="587" src="https://1.bp.blogspot.com/-y4PoLS2uv_g/X7_XUTwF9OI/AAAAAAAACjI/IWJTGaaPIsAQqRg8NRK9r9u7Y0k2etK6gCNcBGAsYHQ/s320/RDdefs.PNG" width="320" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-DliS_afeNSI/X7_XUmt4ZYI/AAAAAAAACjM/tOrasdbSYO47pSG_Pm0jKTBf8ynLdhphwCNcBGAsYHQ/s701/RDresults.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="701" data-original-width="595" height="320" src="https://1.bp.blogspot.com/-DliS_afeNSI/X7_XUmt4ZYI/AAAAAAAACjM/tOrasdbSYO47pSG_Pm0jKTBf8ynLdhphwCNcBGAsYHQ/s320/RDresults.PNG" /></a></div><br /><p><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-42892392442411213222020-11-16T18:18:00.001+00:002020-11-16T18:18:40.296+00:00AI in the Post COVID-19 Economic Recovery<p> AI evidence to the All Party group on AI. Evidence pack <a href="https://imperialcollegelondon.box.com/s/ebjaymbuhv21sl1ue65nx3niyshz5fvt">here</a>. </p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-83719676590092783692020-11-12T14:30:00.002+00:002020-11-22T17:54:12.822+00:00Working from home <p> </p><p class="MsoNormal">Notes on WFH<o:p></o:p></p>
<p class="MsoNormal">This has become super popular in the literature.<span style="mso-spacerun: yes;"> </span>Let’s be careful not to get overexcited, and,
for those who are in the professional and white collar sector, not to
extrapolate too much from their own personal observation .<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The ONS publishes data on working from home in their fantastic
Business Impact of Coronavirus (COVID-19) Survey (BICS). Here are weighted
results from Wave 16, link being: <o:p></o:p></p>
<p class="MsoNormal"><a href="https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybicsresults">https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybicsresults</a><o:p></o:p></p>
<p class="MsoNormal">and specifically<o:p></o:p></p>
<p class="MsoNormal"><a href="https://www.ons.gov.uk/file?uri=%2feconomy%2feconomicoutputandproductivity%2foutput%2fdatasets%2fbusinessimpactofcovid19surveybicsresults%2fbicswave16/bicswave162supressed.xlsx">https://www.ons.gov.uk/file?uri=%2feconomy%2feconomicoutputandproductivity%2foutput%2fdatasets%2fbusinessimpactofcovid19surveybicsresults%2fbicswave16/bicswave162supressed.xlsx</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The table below shows some of the key figures. They start in
column one and column 2 by asking firms whether more or less of their workers
are working from home, referring to the week 5<sup>th</sup> -1th October. Perhaps
not surprisingly 26% on average in all industries of workers are working more from
home, although 75% report no increase in working from home. Notice that the
biggest increase in the number of workers working from home is in the water and
sewerage industry , at 85%. Even in manufacturing, where you would imagine
working from home would be rather complicated, 24% more workers are working
from home. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-j76ox-cqXbU/X61GoR5Pg7I/AAAAAAAACiM/9maCYvHVS-Ei7MAMMB5A5yosQX1YzYQZgCNcBGAsYHQ/s1653/WFH%2Bdata.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="362" data-original-width="1653" height="140" src="https://1.bp.blogspot.com/-j76ox-cqXbU/X61GoR5Pg7I/AAAAAAAACiM/9maCYvHVS-Ei7MAMMB5A5yosQX1YzYQZgCNcBGAsYHQ/w640-h140/WFH%2Bdata.png" width="640" /></a></div><br /><p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="mso-spacerun: yes;"> </span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">A snapshot of working from home may not be very informative.
Perhaps it's of more information therefore to ask firms whether they expect not
working from home will be a permanent feature. This is set out in columns 8 and
9 (with 10 for not sure). In column 8 we can see that 17% of all industries 17%
expect working from home to be a permanent feature of their business model. 65%
do <i>not</i> expect it to be the case and 17% don't know. Returning to the
water industry only 2% of firms expect this to be a permanent feature and 93%
of firms expected not to be the case. <o:p></o:p></p>
<p class="MsoNormal">Notice that there are really only three industries which stand
out as expecting working from home to be a permanent feature: information and
communication and professional and scientific and education. There is fairly
clear blue water between the numbers in those sectors, 37 percent, 34% at 28% and
the other sectors. <span style="mso-spacerun: yes;"> </span>This immediately
suggests that perhaps the discussion of working from home might be dominated by
the bias of those people who are typically writing about it. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Finally, we may look at the consequences of working from
home for productivity. These are in columns 4,5 and 6. Perhaps the most
striking result is how balanced these results are. Around 60% of firms think
that productivity will be the same 19% of firms think that productivity will go
down , and 14% of firms think the productivity will go up. <span style="mso-spacerun: yes;"> </span>Once again the numbers who think productivity
will rise are concentrated in a rather small number of industries most notably
46% in information and communications and 52% in other services. <span style="mso-spacerun: yes;"> </span>Professional scientific and administrative have
numbers at around 10% but otherwise none of the other industries have a
particularly strong expectation of an increase in productivity. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Finally the scatter plot summarises some of these numbers. The
vertical axis is the number expecting long run increase in WFH less those expecting
long run decrease. The horizontal axis we have the net numbers in the
industries who expect productivity to increase .<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-uo-OYkLC8k4/X61GtqoeDtI/AAAAAAAACiQ/21z5mPLglssxviJz2vn9olwjwFm4doDBwCNcBGAsYHQ/s807/WFH%2Bcross%2Bplot.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="807" height="221" src="https://1.bp.blogspot.com/-uo-OYkLC8k4/X61GtqoeDtI/AAAAAAAACiQ/21z5mPLglssxviJz2vn9olwjwFm4doDBwCNcBGAsYHQ/w400-h221/WFH%2Bcross%2Bplot.png" width="400" /></a></div><br /><p></p>
<p class="MsoNormal">As we see in the scatter, the bulk of the industries are at
the bottom left. There is some small expected increase in the numbers working
from home, but productivity or net is anticipated to be lower. Rather few
industries are in the top right where productivity is expected on net to
increase and there was to be substantial more working from home. These are
dominated essentially by ICT , other services and professional scientific and
technical, where there is expected to be, on net a slight loss in productivity.
<span style="mso-spacerun: yes;"> </span>Notice finally the all industries: on 48%
more firms expect less WFH then expect more WFH and 5% more of firms expect
productivity to fall. <o:p></o:p></p><p class="MsoNormal"><br /></p><p class="MsoNormal">Update:</p><p class="MsoNormal">Finally, ONS also ask business who say they will have more (less)
working from home why they intend to do so (not to do so) . Of businesses not intending, 91% say that’s
unsuitable for their business. Of those intending, we have <o:p></o:p></p><p class="MsoListParagraphCxSpFirst" style="margin-left: 198.0pt; mso-add-space: auto; mso-list: l0 level5 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]-->a.<span style="font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;">
</span><!--[endif]-->64% say lower overheads<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="margin-left: 198.0pt; mso-add-space: auto; mso-list: l0 level5 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]-->b.<span style="font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;">
</span><!--[endif]-->61% improved staff wellbeing<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="margin-left: 198.0pt; mso-add-space: auto; mso-list: l0 level5 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]-->c.<span style="font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;">
</span><!--[endif]-->40% increased staff productivity<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="margin-left: 198.0pt; mso-add-space: auto; mso-list: l0 level5 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]-->d.<span style="font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;">
</span><!--[endif]-->22% ability to recruit from wider pool<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="margin-left: 198.0pt; mso-add-space: auto; mso-list: l0 level5 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]-->e.<span style="font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;">
</span><!--[endif]-->18% reduced sickness<o:p></o:p></p><p class="MsoListParagraphCxSpLast" style="margin-left: 198.0pt; mso-add-space: auto; mso-list: l0 level5 lfo1; text-indent: -18.0pt;"><!--[if !supportLists]-->f.<span style="font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;">
</span><!--[endif]-->11% better able to match jobs with skills<o:p></o:p></p><p class="MsoNormal">
</p><p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<br />Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-46510422669446007502020-11-06T17:10:00.002+00:002020-11-06T17:10:52.731+00:00Knowledge spillovers and corporate investment in scientifc research<p> <a href="https://static1.squarespace.com/static/593d9b08be65945a2e878544/t/5e665f5112cd1b53aa37bd7f/1583767403312/combined+March+9+2020.pdf">This paper</a> looks, using patents at how scientific resesarch is used in firms. Here are some points I took away</p><p><br /></p><p>1. R versus D</p><p>Do universities do all the "basic" research? No. "</p><blockquote><p>In 2017, the business sector funded about $85 billion in basic and applied research, accounting for about 22% of R&D funded by business, and 43% of all research in the United States". <br /></p></blockquote><p> Figure 1 gives a sense of this<br /></p><blockquote><p><img alt="" height="210" src="data:image/png;base64,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" width="320" /> <br /></p></blockquote><blockquote><p>" Figure 1, which is based on National Science Foundation data, shows that the share of basic and applied research in the total domestic R&D funded and performed by corporations, the \R" of R&D, in the United States has declined from over 31 percent in 1985 to about 20 percent in 2008 and has remained at that level thereafter. The share of research in total R&D performed by business shows a similar, albeit less dramatic, decline, from a peak of around 30 percent in 1991 to about 20 percent in 2008, and rising modestly thereafter. These trends suggest that the composition of corporate R&D is shifting away from \R" and towards \D".</p></blockquote><p> </p><p>And figure 2 shows some more:</p><p> <img alt="" height="184" src="data:image/png;base64,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" width="320" /></p><blockquote><p> "Many corporate labs were shut down or were oriented towards more applied activities. Bell Labs was separated from its parent company AT&T and placed under Lucent in 1996; Xerox PARC was spun o into a separate company in 2002, and Du Pont closed its Central Research and Developmet Laboratory in 2016.33 These trends are also re<br />ected in Figure 2, which presents trends in the annual number of publications (\R") and patent (\D") divided by sales, for our sample firms. The corporate publication rate fell by about 60% over the sample period, whereas patenting rates do not show any clear trend. The pattern suggests that the composition of corporate R&D is changing over time, with less \R" and more \D""</p></blockquote><p>2. What about spillovers? Well, corporate scientists write papers and so disclose results. Isn't that a receipe for disaster, firms are giving away their own discoveries? maybe not. Perhaps the performing of basic scientific research enables firms to absorb research better, or provide careers for top scientists etc</p><p>And it looks like more knowledge is spilling over:</p><p><img alt="" height="161" src="data:image/png;base64,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" width="320" /> <br /></p><p> </p><p> </p><p> <br /></p><p> </p><p> <br /></p><p>3. At the same time, another paper by the authors has documented that firms are doing less research than they were. So:</p><blockquote><p>In this paper, we argue that private returns to corporate research depend on the balance between two opposing forces: the benefi ts from the use of science in own inventions, and costs of spillovers to rivals. ...increases in spillovers relative to internal use may be a proximate cause of the decline in corporate research that the literature has documented"<br /></p></blockquote><p> </p><p>4. They match together US companies who spend on R&D and had and at least one patent over the period 1980-2015 (an unbalanced panel of 3,807 rms). (This is a major task since patents and companies can change ownership). They </p><blockquote><p>We measure the use<br />of internal research in invention by citations made by the firm's patents to its own scienti fc publications. Spillovers are measured by citations from the patents of rivals to the focal firm's publications. <br /></p></blockquote><p>5. what do they find?</p><blockquote><p>First, we show that there is a positive relationship between the market value of a firm and its stock of scienti c output. This relationship is stronger when the firm's patents use the science that the firm's<br />scientists produce. </p></blockquote><p><br /></p><blockquote><p>Second, and consistent with this, we find that a firm produces<br />more scientifi c publications if it is more likely to use the science in its patents, but produces fewer publications if the science is more likely to be used by rivals' inventions.<br /></p></blockquote><p> 6. This raises a series of questions.</p><p><span> </span>a. other work finds that "ideas are getting harder to find". Perhaps this is because firms are doing less R, and even if universities are doing it, they might not be as good.</p><p>b. but then the question is why are firms doing less R? this paper would say that doing less will hurt them since they cannot benefit from their own research, but doing less helps them if more of it is spilling over to others. </p><p>The paper offers some reasons:</p><p>1. product market competition has become more intensive? No, if any thing the other way?</p><p>2. IP has got tighter? Maybe in the 1980s, but not recently. And anyway, life sciences, where patents are the tightest have not declined as much as other sectors.<br /></p><p><br /></p><p><span> </span> </p><p> <br /></p><p><br /></p><p><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-50727055028154960602020-10-08T20:35:00.001+01:002020-10-08T20:35:43.356+01:00Bristol University<p> I was an undergrad at Bristol University. A great experience with some wonderful teachers. <a href="http://www.bristol.ac.uk/media-library/sites/economics/documents/school-of-economics-brochure.pdf">Here's their new brochure</a>, with words from (Nobel laureate) Angus Deaton (who taught me, brilliant) and Sir Richard Blundell. </p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-28141214212810440402020-10-05T12:55:00.006+01:002020-10-08T20:33:20.670+01:00Slide deck for inflation talk, 5th October 2020<p><a href="https://imperialcollegelondon.box.com/s/l5epzby8ra1a1t2sd2u8s3k4mgi2aw5x">link here.</a> and <a href="https://www.bankofengland.co.uk/events/2020/october/jonathan-haskel-barclays-24th-annual-global-inflation-conference">second link</a> (same slides, you don't need Box)</p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-86296017552558381942020-09-26T16:24:00.003+01:002020-09-26T16:24:30.949+01:00Productivity in cars<p> Numbers speak loudly. </p><p><br /></p><p>From Russ Robert's <a href="https://www.econtalk.org/moretti-on-jobs-cities-and-innovation/#audio-highlights">interview with</a> Enrico Moretti: </p><p><br /></p><p><span style="background-color: white; box-sizing: border-box; color: #212529; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 16px; font-weight: bolder;">Russ:</span><span style="background-color: white; color: #212529; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 16px;"> The statistic you quote that in the 1950s the average worker at General Motors (GM) could make 7 cars in a year, and now they make 28--that's an unbelievable transformation. </span></p><p><span style="background-color: white; box-sizing: border-box; color: #212529; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 16px; font-weight: bolder;">Moretti:</span><span style="background-color: white; color: #212529; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 16px;"> That's right. It means that for the same amount of cars sold, now GM needs 70% fewer workers.</span></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-41396291490814146882020-09-03T13:42:00.000+01:002020-09-03T13:42:24.750+01:00Is a no-deal Brexit no big deal?<p> <a href="https://www.cer.eu/sites/default/files/insight_SL_18.8.20.pdf">Sam Lowe at the Centre of European reform</a> says not in a clear and interesting piece. Some quotes from him.<br /></p><blockquote><p>1. Whether we leave with a deal or not, buisness will have to adapt to <br /></p></blockquote><blockquote><p> "to new customs procedures, regulatory requirements and restrictions on the provision of cross-border
services... acknowledged by the UK government, with the recent publication of
its<a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/908534/Border_Operating_Model.pdf"> border operating model</a>, which spells out all the things companies trading between the EU and UK
will need to do, whether there is a trade deal or not. </p></blockquote><p>2. He continues "Furthermore, the
macroeconomic impact of exiting the transition period with a free trade agreement is not very different
from exiting without". </p><p>3. So why bother with an agreement at all? He sees a number of reasons:</p><p></p><p>A. Duty-free and quota-free trade </p><p>"A free trade agreement will still result in non-tariff barriers to trade. But it could remove all tariffs and quotas (so long as the products meet rules of origin requirements)". </p><p>And this is valuable in certain industries: </p><p>" For British exporters of products facing high tariffs, such as cars (10 per cent)
and lamb (a chilled carcass faces a combined tariff of 12.8 per cent + €171.3/100kg), duty-and-quota free trade is essential if they are to remain competitive."</p><p> And it might help with reducing border frictions "For example, it could reduce the rate of physical
inspection at the border on products of animal origin from up to 50 per cent of consignments to
near zero. A trade deal could also create a framework for the continued recognition of professional
qualifications in both the EU and UK, and make it easier for people to fulfil short-term services contracts
in both territories."</p><p> </p><p>B. Supplementary benefits </p><p>"The EU is yet to decide whether to allow businesses to conduct some EU-focused financial services out of
the UK by granting the UK’s regulatory regime ‘equivalence’. It also needs to decide whether to recognise
the UK’s data protection regime as ‘adequate’, and therefore whether to allow companies to continue
storing the personal data of EU citizens on servers located in the UK. While these are unilateral decisions
for the EU to take, and technically unrelated to the trade talks with the UK, political realities mean
that the EU is much more likely to grant the UK equivalence and adequacy if there is also a free trade
agreement."</p><p> </p><p>He also suggests some others essentially around help with customs co-operation "A free trade agreement would probably include provisions that formalise co-operation between EU
and UK customs agencies. It would also create a more positive working environment, rather than
the inevitable animosity that would accompany failure to reach a deal" which would likely help with the Northern Ireland issue and the political goodwill from reaching an agreement.<br /></p><p> </p><p> </p><p> </p><p> <br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-34723632084586670932020-09-01T12:03:00.002+01:002020-09-01T12:03:23.916+01:00Long run economic growth in the UK<p> A fascinating new paper by Stephen Broadberry,<a href="https://cepr.org/active/publications/discussion_papers/dp.php?dpno=15207">The Industrial Revolution and the Great Divergence: Recent Findings from Historical National Accounting</a>, looks at new long run data for the UK. It takes up the point that much pre-1870 data e.g. in Maddison's database was based on guesstimation and we now have improved data. Here is my reading of some of the key points.</p><p><br /></p><p>1. Their figure 1 below shows some long run trends. <br /></p><p> </p><p> </p><p><img alt="" src="data:image/png;base64,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" /> </p><p> As they say, some of the key findings already were that economic growth was slower in the Industrial Revolutoin than previously thought, which means the UK must have entered the Industrial Revolution richer than previously thought, to get to the same agreed final level of GDP per head. </p><blockquote><p>"Figure 1 shows the long run evolution of real GDP, population and real GDP per capita
over the long period 1270-1870. GDP per capita stagnated during 1270-1348, before increasing
sharply between 1348 and 1400, as population declined more sharply than GDP following the
shock of the Black Death. GDP per capita then remained on a plateau between c.1400 and 1650
as population at first continued to fall and then began to recover from the late fifteenth century.
A new GDP per capita growth phase started around 1650, as population stagnated and then
declined slightly. Although GDP per capita growth slowed down after 1700 as population
growth resumed, it remained positive and became increasingly stable, with fewer and milder
years of negative GDP per capita growth. It seems, then, that the Industrial Revolution was less
about growing faster and more about avoiding periods of negative growth or shrinking, than
has previously been realised (Broadberry and Wallis, 2017)"</p></blockquote><p> </p><p>2. Table 2 </p><p><img alt="" src="data:image/png;base64,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" /> <br /></p><blockquote><p> "Table 2 presents the average annual growth rates for the same three series: GDP,
population and GDP per capita. Notice how the growth rate of GDP per capita after 1800 was
actually slightly slower than after the Black Death (1350s-1400s) and after the Civil War
(1650s-1700), despite the fact that GDP growth was much faster. The reason for this was the
very different paths of population in these three periods. Whereas population declined very
sharply after the Black Death, and still declined slightly after the Civil War, it grew very rapidly
during the first two-thirds of the nineteenth century. This points to a major difference between
modern economic growth and pre-industrial growth, as highlighted by Kuznets (1966). Preindustrial growth required falling population, and this led to an increase in land per capita and
capital per capita, which in turn led to higher output per capita. However, this was clearly not
a route to sustained growth. For Kuznets, sustained or modern economic growth required rising
output per capita together with a growing population." <br /></p></blockquote><p> 3. Structural change</p><p><img alt="" src="data:image/png;base64,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" /></p><p><br /></p><p><br /></p><blockquote><p>"Another important aspect of modern economic growth is structural change. It has long been
noted that economic development is associated with a shift in the structure of the economy
away from dependence on agriculture. This has traditionally been seen as a process of
industrialisation, although recent research suggests that this understates the role of services.
Broadberry, Campbell, Klein, Overton and van Leeuwen (2015) note that the British economy
diversified away from agriculture over a longer time span than was once believed by economic
historians. Agriculture was less important and services more important earlier than widely
perceived, with important consequences for sectoral productivity performance. Labour
productivity growth was faster in industry than in agriculture during the Industrial Revolution
rather than the reverse, as early quantification of the Industrial Revolution had appeared to
suggest.
The quantitative dimensions of the structural shift away from agriculture in the British
economy are set out in Table 3. The first point to note is that agriculture’s share of output and
employment declined in importance over time, while the shares of industry and services
increased, as would be expected for a developing nation. Second, however, note that even as
early as 1381, agriculture accounted for less than 60 per cent of employment and less than 50
per cent of nominal GDP, so that even in the fourteenth century, industry and services
accounted for a substantial share of economic activity. Third, although agriculture accounted
for a smaller share of output than employment for most of the period under consideration here,
thus making agriculture a low productivity sector, this had ceased to be the case by 1801, a
point first noted by Crafts (1985). Fourth, although industry increased its share of nominal GDP
more rapidly than services until 1700, this ceased to be the case during the Industrial Revolution period. This may at first sight seem surprising, but can be explained by a decline in
the relative price of industrial goods, as technological progress increased productivity and
drove down prices. By contrast, the more modest productivity improvement in services led to
an increase in their relative price, so that the share of services in nominal GDP increased more
rapidly than the share of industry after 1700.
</p></blockquote><p> </p><blockquote><p><i>A fifth striking feature of Table 3 is that much of the shift of labour from agriculture to
industry occurred before 1759, which has important implications for the pattern of labour
productivity growth before and during the Industrial Revolution. (my italics) </i>If, as was once believed, the
shift of labour from agriculture to industry had taken place at the same time as the Industrial
Revolution, then much of the growth of industrial output could be explained by increased
labour input rather than by productivity growth. This counter-intuitive result was implicit in
the work of Deane and Cole (1962), and also confronted more explicitly by Crafts and Harley
(1992). With much of the shift of labour from agriculture to industry occurring between 1522
and 1759, there was a period of labour-intensive industrialisation (or proto-industrialisation)
without dramatic industrial productivity growth, which can be tracked in Table 4. This was
then followed by an Industrial Revolution, where capital deepening and technological progress
raised industrial labour productivity rapidly after 1759. </p></blockquote><p> </p><p>4. Comparative growth</p><p> </p><p><img alt="" 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" /> <br /></p><p>Finally, they have fascinating conclusions on comparative growth, addressing the argument about just when Europe got ahead of Asia.</p><blockquote><p> New estimates of GDP per capita during the period 1000-1870 have recently been produced in
a number of European and Asian economies, making use of historical data collected at the time.
These estimates show reversals of fortune within as well as between the two continents. First,
they show a much clearer Little Divergence within Europe between the northwest and the rest of the continent than had been suggested by Maddison (2001), with Britain and the Netherlands
overtaking Italy and Spain. Second, these estimates also show a much clearer Asian Little
Divergence, with Japan overtaking China and India. And third, they show a later Great
Divergence between Europe and Asia than suggested by Maddison, taking account of regional
variation within the two continents. Although individual European nations or small regions
were ahead of the whole of China as early as 1300, the leading Chinese region did not fall
decisively behind the leading European nation until the eighteenth century. This is a lot later
than suggested by earlier western economic historians such as Weber (1930), Landes (1969),or
North and Thomas (1971), although not quite as late as suggested by Pomeranz (2000), who
argued for parity until the early nineteenth century. However, Pomeranz (2011; 2017) has more
recently accepted that his earlier claims were exaggerated and now sees the Great Divergence
as dating from the eighteenth century.</p></blockquote><p> </p><p> </p><p>Finally, some lessons for process. </p><blockquote><p>"One of the most interesting developments of the recent wave of research
in historical national accounting has been the construction of annual estimates of GDP per
capita reaching back to the thirteenth or fourteenth century for a number of countries. Using
these data, a radically new picture of the Little and Great Divergences has appeared.
Northwestern Europe forged ahead of the rest of Europe and also diverged from Asia not by
growing faster during periods of positive growth, but rather by reducing the frequency and rate
of shrinking during periods of negative growth (Broadberry and Wallis, 2017)....</p></blockquote><blockquote><p> "Explaining the Industrial Revolution has more in common with solving the problem of
development today than is usually acknowledged. Getting growth going in the first place, the
traditional focus of analysis, is only part of the story. Just as important is ensuring that periods
of positive growth are not followed by periods of negative growth, or shrinking. This has been
highlighted in the case of developing economies today by Easterly, Kremer, Pritchett and
Summers (1993) and Pritchett (2000). For the transition to modern economic growth in Britain
during the Industrial Revolution, it means paying as much attention to the absence of negative
trend growth after the gains of the post-Black Death growth episode as to the innovations that
started episodes of positive growth during the eighteenth century."</p></blockquote><blockquote><p>". One way to think about Europe’s Little Divergence, and also the Great Divergence, is therefore not so much the beginning of growth, but rather the weakening and ending of periods
of shrinking" </p></blockquote><p> </p><p><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-24544713458851171032020-08-31T16:23:00.001+01:002020-08-31T16:23:48.320+01:00More on school output<p> Follow up to <a href="https://haskelecon.blogspot.com/2020/07/school-output.html">this post</a>: <a href="https://teachertapp.co.uk/how-things-have-got-better-in-schools-over-the-lockdown/">things do seem to have got better according to the Teacher Tap survey</a>: </p><p><img height="174" src="https://i2.wp.com/teachertapp.co.uk/wp-content/uploads/2020/07/image-11.png?fit=1024%2C340&ssl=1" width="524" /></p><p><br /></p><p>Source: https://i2.wp.com/teachertapp.co.uk/wp-content/uploads/2020/07/image-11.png?resize=1536%2C511&ssl=1</p><p>As the commentary says: </p><blockquote><p style="background-color: white; border: 0px; box-sizing: border-box; color: #333333; font-family: Lato; font-size: 16px; font-stretch: inherit; font-variant-east-asian: inherit; font-variant-numeric: inherit; letter-spacing: 0.4px; line-height: inherit; margin: 1.5em auto; max-width: 700px; outline: 0px; padding: 0px 20px; vertical-align: baseline;">One grievance cropped up most often: teachers weren’t directly speaking to children that often.</p><p style="background-color: white; border: 0px; box-sizing: border-box; color: #333333; font-family: Lato; font-size: 16px; font-stretch: inherit; font-variant-east-asian: inherit; font-variant-numeric: inherit; letter-spacing: 0.4px; line-height: inherit; margin: 1.5em auto; max-width: 700px; outline: 0px; padding: 0px 20px; vertical-align: baseline;">However, good news! Things have mostly got better.</p><p style="background-color: white; border: 0px; box-sizing: border-box; color: #333333; font-family: Lato; font-size: 16px; font-stretch: inherit; font-variant-east-asian: inherit; font-variant-numeric: inherit; letter-spacing: 0.4px; line-height: inherit; margin: 1.5em auto; max-width: 700px; outline: 0px; padding: 0px 20px; vertical-align: baseline;">At the end of March, just 27% of primary and 22% of secondary teachers were phone calling children in a given week. Last week that figure was over 50% in primary schools and almost 40% in secondaries. (The graph below shows a question asked on 1st April, but refers to the last week in March, when most schools were still in session).</p><p style="background-color: white; border: 0px; box-sizing: border-box; color: #333333; font-family: Lato; font-size: 16px; font-stretch: inherit; font-variant-east-asian: inherit; font-variant-numeric: inherit; letter-spacing: 0.4px; line-height: inherit; margin: 1.5em auto; max-width: 700px; outline: 0px; padding: 0px 20px; vertical-align: baseline;">Another beef was the lack of video lessons. Again, given a couple of months, many more of you are now delivering video lessons, with the rate jumping from 7% to 29% in primary schools, and 15% to 35% in secondary schools.</p></blockquote><p><br /></p>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-63057497084300021702020-07-25T13:30:00.002+01:002020-07-25T13:30:58.537+01:00What is economics about, really? <br />
<br />
Everybody knows the answer to this. Economics is about economic forecasting. Since much of economic forecasting is wrong, economics must be wrong. Or, economics is about the stock market and money. Since the stock market and money are by definition tasteless and immoral, economics must be tasteless and immoral too. Or, economics is about shifting a load of curves here and there in order to pass an exam, to be forgotten about once one is exited the exam room.<br />
<br />
Getting a sound answer to this question is increasingly important as many other subjects touch on Economics. For example, much of human geography is concerned about economic questions: Cities, prosperity between countries, inequality. Much of management is also about economic questions, and if anything seems less abstract and more relevant: managing R&D projects, accounting, business strategy.<br />
<br />
This is so ingrained there are now two famous jokes that everyone knows about economics. The first is that a physicist, a chemist, and an economist are stranded on a desert island with a can of food but no can opener. The physicist and the chemist devise a clever mechanism for opening the can: the economist says “assume we have a can opener". The second is that a £50 note is lying on the street. “Did you see that?” says the non-economist. “No need to look” says the economist, “if it was really there someone would have picked it up”.<br />
<br />
This is typically ignored when you start an economics course. You are told that the great benefit of economics is it helps you think about the big questions in the world. But many students , when they come out of an economics class, often jettison everything they've learned, regarding it as too abstract, and worth understanding just for the purpose of passing in the exam. So it's worth asking again; what is economics about, really?<br />
<br />
Let me suggest the study of economics can be summarised as asking a really good question: Is there a better alternative? That may not sound like something very profound, and economics is undoubtedly broader than this (the study of econometrics and associated statistical techniques for example), but as a pithy summary I think this carries the essence of economics and why it is actually very helpful in helping you think about the world.<br />
<br />
Why is this a good question? It’s worth stating first off that it’s a broad-based question. That “better alternative” might be within the context of a market like a stock market for example. Or it might be in the context of a non-market transaction like a business hierarchy. Or a school or even a household.<br />
<br />
Let’s take an example. Geography has much to say about countries. International business, a important subdivision of business studies and business strategy, has much to say about the arrangement and conduct of business across borders. International relations, has much to say about the political and economic arrangements between nations.<br />
<br />
In a 1997 <a href="https://www.jstor.org/stable/2951265">article in the Quarterly Journal of Economics,</a> the economists Alberto Alesina and Enrico Spolaore asked a different question: what’s the optimal number of countries? Using an economic model, they argued the democracies would produce too many countries, that is, there would be too many nations, relative to a socially optimal benchmark. Now whether you agree or disagree with their analysis is beside the point. My only point is that this is a nice example of the question that economists ask when they see a particular arrangement, in this case, a set of countries; is there a better alternative?<br />
<br />
Likewise, the Canadian economist Robert Mundell <a href="https://www.jstor.org/stable/1812792">asked in the 1960</a>s how many nations should share currencies? This was viewed as an absurdity at the time but of course turned out to be an incredibly important question when it came to the design of the euro ( and indeed many have argued the design of the euro is flawed precisely because the designers ignored the principles that Mundell enunciated over half a century ago).<br />
<br />
The next issue then is to ask whether economists have a comparative advantage in asking and answering this question? Surely other subjects have not only asked this question but perhaps answered it better? What do economists have to offer?<br />
<br />
Herein I believe lies the true power of economics as a way of thinking relative to other subjects. I think that economists have two very important comparative advantages.<br />
<br />
The first is that economics defines and understands very clearly the definition of “better”. What are called, perhaps rather unapproachably, the fundamental theorems of welfare economics, describe the exact conditions under which a particular economic arrangement tends towards the most efficient allocation of resources. That is to say, that economics has a precise statement under which Adam Smith’s description of the “invisible hand”, namely interactions in markets , lead to the “best” outcome. That means that in economics we are able to precisely compare a certain economic arrangement (the number of countries, the price of sugary food, the trade arrangements of a<br />
country, your employment contract) with the “best” arrangement. In turn, we can therefore answer precisely the question “Is there a better alternative?”. <br />
<br />
The second source of comparative advantage comes from the observation by Smith that the natural propensity of humans is “to truck and barter”. Economists understand is that if there is a better alternative, unless there is some blockage, human beings are probably going to try to get towards it. Neither dogs nor human beings can fly naturally. But human beings created a machine to help them fly because they saw a better alternative to walking. The incentive to trade, means this is a good question to ask and an understanding that incentive makes economists in a good position to answer it.<br />
<br />
Asking the question also provides a couple of helpful insights. First, when presented with some fact of social interaction many subjects would explain it by social norms. Where you shop, what newspapers you read, what phone you buy might be plausibly explained, at first pass, by what your parents did or peer groups do. Economics tends to regard this as a last resort. If there is a cheaper shop, a livelier newspaper, a zippier phone, the question of “is there a better alternative” and understand why people don’t get to that improvement is the first question to ask.<br />
<br />
Of course, the relentless pursuit of even a very good question can get the Economist into hot water. When presented with the public provision of a service (say health or education in many countries), the “is there a better alternative” question makes you ask if, for example, a private providers could do it much better. Economists are, as said, well placed to ask this question because we have a strong theory about the optimality of a market economy. But one has to remember that markets are in practice underpinned by a whole series of non-market factors such as trust. Indeed there is a literature which suggests that financial incentives might drive out these non-market incentives.<br />
<br />
Finally, the describing of economics in this way helps understand the two famous jokes set out above. The point of the “assume a can opener” story, is that economists start by thinking about the the best outcome, as a way of reasoning whether the current situation can be made better. The point about the money on the street is to ask why human beings , with the Smithian propensity to track and barter, would not reach a better outcome. It does not say they would reach a better outcome, but it forces the analyst to set out exactly why not.<br />
<div>
<br /></div>
Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-33606248482438069792020-07-22T17:54:00.000+01:002020-07-24T17:18:40.588+01:00Modelling the economyThe video of my lecture at Imperial on modelling the COVID shock and recovery is here: <a href="https://www.youtube.com/watch?v=MCH-APqYVfY">https://www.youtube.com/watch?v=MCH-APqYVfY</a>.<br />
<br />
Spreadsheet calculations for modelling the COVID shock will be posted here soon.Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-58491096580957555722020-07-11T15:58:00.001+01:002020-08-31T16:29:26.110+01:00School outputOutput of schools is very hard to measure. But we would like some idea of what's been happening at schools over COVID. Perhaps kids have been getting lessons on the internet: if so how many lessons? Perhaps things have improved if they are less distracted by disruptive pupils in the classroom?<br />
<br />
The ultra-innovative <a href="https://rebeccaallen.co.uk/">Becky Allen</a> at <a href="https://teachertapp.co.uk/">Teacher Tap</a> has been running a series of fascinating surveys. Here's a <a href="https://teachertapp.co.uk/live-lessons-relaxing-in-the-pandemic-and-are-teachers-going-abroad-this-summer/">very recent one</a>, asking teachers what they did on that day (Tuesday 30th June).<br />
<br />
<br />
<br />
<img height="200" src="https://i0.wp.com/teachertapp.co.uk/wp-content/uploads/2020/07/image-3.png?fit=1024%2C512&ssl=1" width="400" /><br />
<br />
Reembering that private schools are about 9% of the sector, the top row shows the average for online lessons is rather low, (and the gap is clear). The last two rows also show the low contact in person.<br />
<br />
Fascinatingly, we also have data over time, which shows some improvement in internet for the state schools. Hard not to conclude that school output has fallen a lot.<br />
<br />
<br />
<br />
<img height="200" src="https://i1.wp.com/teachertapp.co.uk/wp-content/uploads/2020/07/image-4.png?fit=1024%2C512&ssl=1" width="400" /><div><br /></div><div><br /></div><div><b>UPDATE:</b> data for July 7th</div><div><br /></div><div><img height="210" src="https://i0.wp.com/teachertapp.co.uk/wp-content/uploads/2020/07/image-3.png?fit=1024%2C512&ssl=1" width="419" /></div><div><br /></div><div>Source: https://i0.wp.com/teachertapp.co.uk/wp-content/uploads/2020/07/image-3.png?resize=1024%2C512&ssl=1 </div>Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-11270490353706328042020-06-27T10:55:00.001+01:002020-06-27T10:55:38.417+01:00How fast do intangible assets depreciate? Fast...In <a href="https://press.princeton.edu/books/hardcover/9780691175034/capitalism-without-capital">our book</a> we document the answer: quite fast. I had not seen this survey by Richard Hall<br />
<a href="https://www.jstor.org/stable/pdf/2486410.pdf">https://www.jstor.org/stable/pdf/2486410.pdf</a> which is a survey of CEOs asking them " The question 'Given a reasonably high priority
how many years would it take to recreate the
current reputation of your company if you had
to start from scratch? was also asked with respect
to: The reputation of product range; The know-
how of employees; the know-how of suppliers;
the know-how of distributors; and networks.
The average replacement period estimated for
each intangible resource is shown in Table 2."<br />
<br />
<img alt="" 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" /><br />
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Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.comtag:blogger.com,1999:blog-3962562958903742058.post-88206703502882459682020-06-08T20:14:00.001+01:002020-06-08T20:14:54.478+01:00Teaching Note: Bank of England Monetary Policy Report May 2020Here are <a href="https://imperialcollegelondon.box.com/s/y15mnrejb4idzpvvov06vyqttah5l2jn">some notes</a> <a href="https://www.bankofengland.co.uk/report/2020/monetary-policy-report-financial-stability-report-may-2020">on this report</a>.<br />
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<br />Jonathan Haskelhttp://www.blogger.com/profile/08596025169140278891noreply@blogger.com