Thinking, learning and doing

James Bessen’s book [amazon_link id=”0300195664″ target=”_blank” ]Learning By Doing: The Real Connection between Innovation, Wages and Wealth[/amazon_link] is excellent. It strikes a balance between meaty analysis and description of historical episodes of technical change, and is at the same time very accessible.

[amazon_image id=”0300195664″ link=”true” target=”_blank” size=”medium” ]Learning by Doing: The Real Connection Between Innovation, Wages, and Wealth[/amazon_image]

The book argues that it is important to distinguish between ideas, which can be codified and transmitted and know-how attached to workers, which takes experience to accumulate. This is familiar – Paul Romer recently blogged about the role played by this distinction in his famous model. But Bessen adds that the distinction makes it important to consider the incentives for workers to invest in new skills so that new technologies can be implemented – and the part played by these incentives is usually overlooked and yet crucial for forming views about the “future of work” when there are ubiquitous robots.

He uses the historical examples to demonstrate that in the early stages of implementation of a technology, returns to workers with generally high skills will rise. They are able to make the adjustments and minor additional innovations that get the big innovation to work. During that period, the wages of ordinary workers stagnate – as in the famous Engels’ Pause (pdf). However, when the technology is thoroughly bedded in and the technical knowledge needed to work with it is standardised, ordinary workers have the incentive to invest in in gaining skills and experience. A thick labour market develops. Workers are able to threaten credibly to switch jobs. Their real wages rise and the high-level skill premium narrows.

“The specific skills associated with a major new technology are not standardized at first, which limits the market. Initially, these skills are always limited to specific employers.'”

He emphasises the need for the necessary technical knowledge to be standardised too – the example he uses is the periodic table’s invention, standardising the chemical knowledge workers in the growing industry needed, and making it easier to teach.

Bessen then uses some new examples to demonstrate that with digital technologies, this standardisation of technology, tasks and skills has not yet happened. His example is digital publishing, where the specifics of the technology are still changing, and so do the specific technical knowledge and experience needed.

In addition to the development of a standardised know-how labour market on demand and supply sides, Bessen points out that new technologies can also raise demand and employment in existing work. His example here is the continuing increase in the number of bank tellers (still going on) even as the number of ATMs grew rapidly, with the humans’ tasks changing to focus on customer relations, and the number of bank branches and transactions increasing. This is not the case with all technologies – the job market for people making oil lanterns is tiny – but the book suggests it happens more often than one would think.

The book ends with policy reflections, of which the most interesting concerns education. The reasoning about standardised knowledge, and the importance of experience, as a technology matures points to the need for skills-focused education rather than piling as many young people as possible through conventional academic tertiary education. Bessen argues that demands to make vocational jobs such as nursing or medical assistants require a university degree represent a form of job protectionism. He also – along with many other scholars – points to the dysfunctional nature of the patent/copyright system as it operates now, especially in the US.

This is a very US-focused book, but none the less interesting for that. This review has skimmed over the top of the argument; I’d strongly recommend the book to anyone interested in the automation/inequality/employment issues. It is a broadly optimistic perspective but does underline the length of the transition and the likely impact on individuals. All the more reason to pay attention to the policy implications.

The Enlightened Economist Prize 2015 – the long list

A bit late this year, here is my shortlist for my personal prize for the best book I’ve read since last year’s shortlist. The rules are that date of publication doesn’t matter, only my date of reading the book, and that the winner in a week or so will be entirely my arbitrary choice – the one I enjoyed the most. The prize, apart from glory, is my offer to take the winner out for dinner .

So here they are in no particular order:

[amazon_link id=”0393246418″ target=”_blank” ]Economics Rules[/amazon_link] by Dani Rodrik (How to do economics well – review here )

[amazon_link id=”0241003555″ target=”_blank” ]Why Information Grows[/amazon_link] Cesar Hidalgo (Information based economies  – review)

[amazon_link id=”000752076X” target=”_blank” ]Who Gets What and Why[/amazon_link] Alvin Roth (Market design – review)

[amazon_link id=”0300195664″ target=”_blank” ]Learning by Doing[/amazon_link] James Bessen – (Technology and work – will review very soon)

[amazon_link id=”1781688451″ target=”_blank” ]The Happiness industry[/amazon_link] William Davies – (Scepticism about behavioural economics and utilitarianism – review)

[amazon_link id=”0571308015″ target=”_blank” ]Nothing is True and Everything is Possible[/amazon_link] Peter Pomerantsev (The scary truth about modern Russia – review)

[amazon_link id=”1846146410″ target=”_blank” ]The Reckoning[/amazon_link] Jacob Soll (The history and influence of accountancy – review)

[amazon_link id=”0465059996″ target=”_blank” ]Rise of the Robots[/amazon_link] Martin Ford – (Technology and jobs, a pessimistic view – review)

[amazon_link id=”B00UJD8AS2″ target=”_blank” ]Other People’s Money[/amazon_link] John Kay (Pernicious modern finance – review)

[amazon_link id=”0262016494″ target=”_blank” ]Cybernetic Revolutionaries[/amazon_link] Eden Medina (Using technology to shape society in Allende’s Chile – review)

[amazon_link id=”0691152845″ target=”_blank” ]Mastering Metrics[/amazon_link] Joshua Angrist and Steffen Pischke (Econometrics of the best kind, made fun – review)

[amazon_link id=”B00WQRFC30″ target=”_blank” ]Inequality[/amazon_link] Anthony Atkinson (What to do about it (and why), a practical agenda – review)

[amazon_link id=”0691160392″ target=”_blank” ]Foragers, Farmers and Fossil Fuels[/amazon_link] Ian Morris (Long run economic history – review)

[amazon_link id=”1783350644″ target=”_blank” ]Swimming with the Sharks[/amazon_link] – Joris Luydendijk (The sociology of pernicious modern finance – review)

 

Standards, interoperability and innnovation in infrastructure

A request via Michelle Brook on Twitter: what has been written about the relationship – in the context of large scale infrastructure – between standards/interoperability and innovation? A quick search via Google Scholar revealed a few papers, mainly about communications networks. Other than that, all I could think of was Pierre-Richard Agenor’s [amazon_link id=”0691155801″ target=”_blank” ]Public Capital, Growth and Welfare[/amazon_link]. Oh, and also business history case studies such as Bernard Carlson’s terrific [amazon_link id=”0691165610″ target=”_blank” ]Tesla[/amazon_link] biography, Jon Gernter’s [amazon_link id=”1594203288″ target=”_blank” ]The Idea Factory[/amazon_link], or maybe [amazon_link id=”0787971545″ target=”_blank” ]Fast Second[/amazon_link] by Geroski and Markides. But if others have other suggestions, please do add them – or let Michelle, @MLBrook, know.

[amazon_image id=”0691155801″ link=”true” target=”_blank” size=”medium” ]Public Capital, Growth and Welfare: Analytical Foundations for Public Policy[/amazon_image]  [amazon_image id=”0691165610″ link=”true” target=”_blank” size=”medium” ]Tesla: Inventor of the Electrical Age[/amazon_image] [amazon_image id=”1594203288″ link=”true” target=”_blank” size=”medium” ]The Idea Factory: Bell Labs and the Great Age of American Innovation[/amazon_image]  [amazon_image id=”0787971545″ link=”true” target=”_blank” size=”medium” ]Fast Second: How Smart Companies Bypass Radical Innovation to Enter and Dominate New Markets (J-B US non-Franchise Leadership)[/amazon_image]

What’s new about nudges?

As I prepare to lecture on behavioural economics in public policy tomorrow, I’ve been riffling through the books I have in the room here & am struck by how similar they all are. The most recent is Richard Thaler’s [amazon_link id=”1846144035″ target=”_blank” ]Misbehaving: The Making of Behavioural Economics[/amazon_link], which is as the subtitle suggests about the debate within economics about foundational assumptions as well as the content of behavioural economics. It’s very good and accessible. Daniel Kahneman’s Thinking Fast and Slow is still my favourite. There’s [amazon_link id=”0141040017″ target=”_blank” ]Nudge[/amazon_link], of course, by Thaler and Sunstein. The Dan Ariely books – I have [amazon_link id=”0007256531″ target=”_blank” ]Predictably Irrational[/amazon_link] here – are jolly reads. Mullanaithan and Shafir’s [amazon_link id=”0141049197″ target=”_blank” ]Scarcity[/amazon_link] is an important book. A more scholarly volume is Eldar Shafir’s edited volume [amazon_link id=”0691137560″ target=”_blank” ]The Behavioural Foundations of Public Policy[/amazon_link]. Somewhere too in here is Colin Camerer’s [amazon_link id=”0691116822″ target=”_blank” ]Advances in Behavioural Economics[/amazon_link]. And I have [amazon_link id=”0691164371″ target=”_blank” ]Government Paternalism[/amazon_link] by Julian LeGrand and Bill New, somewhat cautious in its embrace of behavioural policies.

[amazon_image id=”1846144035″ link=”true” target=”_blank” size=”medium” ]Misbehaving: The Making of Behavioural Economics[/amazon_image]  [amazon_image id=”0141040017″ link=”true” target=”_blank” size=”medium” ]Nudge: Improving Decisions About Health, Wealth and Happiness[/amazon_image]  [amazon_image id=”0007256531″ link=”true” target=”_blank” size=”medium” ]Predictably Irrational: The Hidden Forces that Shape Our Decisions[/amazon_image]  [amazon_image id=”0141049197″ link=”true” target=”_blank” size=”medium” ]Scarcity: The True Cost of Not Having Enough[/amazon_image]  [amazon_image id=”B00P6ZJ6LS” link=”true” target=”_blank” size=”medium” ]Government Paternalism: Nanny State or Helpful Friend?[/amazon_image]

The thing that strikes me looking at these volumes covering a dozen years is how much overlap there is in the material they cover, often exactly the same examples. Does this mean behavioural economics has not really moved on from the central insight about people’s inability to calculate probabilities as if they were Mr Spock from Star Trek, and hence the “irrationality” of much decision-making concerning uncertainty and predictions of the future? The big questions I have  – and can’t readily find the answers to – are:

1. What do we know about the boundaries between situations in which people are “rational” and “irrational” (ie individual choices lead to the market outcome as predicted by conventional economic theory, or not) – is it as simple as any situation involving having to predict the future?

2. What do we know systematically about the interaction between individual decisions and social influencing (other than that it exists)?

3. What do we know about whether people adjust over time to ‘nudge’ policies and change their behaviour, as they do to any traditional economic policies?

If those who have read more of the behavioural literature know where I can find relevant material, I’d be very grateful.

Technology paradoxes

I’ve started reading James Bessen’s [amazon_link id=”0691143218″ target=”_blank” ]Learning By Doing: The Real Connection between Innovation, Wages, and Wealth[/amazon_link], and it promises to be very interesting. He starts with a paradox: That “the effects of the new technology are all around us,” but for one place: our paychecks. “Since the beginning of the personal computer revolution, the median wage in the United States has been stagnant.” (I’ve yet to get far enough to know whether the book only talks about the US – phenomena like the stagnant median wage and increased income inequality are at their extreme there.)

[amazon_image id=”0300195664″ link=”true” target=”_blank” size=”medium” ]Learning by Doing: The Real Connection Between Innovation, Wages, and Wealth[/amazon_image]

It set me thinking that actually there is another paradox that’s the twin of Bessen’s: that the main (only?) thing that has benefitted many people in economic terms in the past couple of decades is – technology. People greatly value their smartphones and other ever-cheaper/better consumer electronics, internet access, free online content and services. This consumer surplus story is well-known; among others, Brynjolfosson and McAfee point it out in [amazon_link id=”0393239357″ target=”_blank” ]The Second Machine Age[/amazon_link].

So we have the meta-paradox of limited if any gains in monetary incomes and potentially large gains in non-monetary consumer surplus (although there are some reasons for caution about the scale as ‘free’ is not free), and no obvious way to evaluate these, You can’t eat consumer surplus but people see internet access as a basic right (pdf), a sign that they put huge value on the technology. I’m spending a lot of time thinking about these measurement/welfare questions.