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Tuesday, October 30, 2018

The Micro-Macro Paradox of Education


The Paradox


If you’re searching for the least controversial finding in Economics, a strong contender is the observation that people with more education earn higher wages (Pritchett, 2001). This finding holds virtually invariant of time and national borders: from imperial Japan to modern day Addis Ababa, more educated members of society have always tended to earn more money.

A similarly (though not as) well-established finding is that these private returns tend to vastly outweigh the social returns to education investment. In this context, social returns refers to the extent to which education raises the aggregate productivity of the economy of as a whole.

The graph below (from Patrinos, 2004) illustrates this, comparing the private and social return to different tiers of education from a cross-section of countries around the world. Patrinos calculates a private return to primary and secondary education of 26.6% and 17.0% respectively: meaning that a primary school graduate can expect to earn 26.6% more than someone who hasn’t attended school, and a secondary school graduate can expect to earn 17% more than someone who has just completed primary education. Private returns exceed social returns at each stage: a finding that gives rise to the Micro-Macro Paradox of Education.


Source: Patrinos (2014)

The paradox deepens when we consider the significant positive externalities we tend to associate with education. Put simply, my ability to read not only makes me more productive; it also makes you more productive (as you spend less time explaining tasks to me). This implies that we should see a social return to education that exceeds the sum of its individual parts; instead, the opposite occurs.

The policy implications of this paradox are hard to overstate. Education delivery is at the forefront of United Nations Millennium Development Goals, yet these lacklustre aggregate effects make its prioritisation over healthcare or infrastructure investments harder to justify. Of course, there is more to life than productivity and education fulfils many functions beyond this. Nonetheless, the failure of private returns to translate into social returns hints at the presence of market failures that, if rectified, could bring the returns closer together. To help identify these, two compelling explanations are often put forward to explain the paradox: the piracy explanation and the wasteful signal explanation.

The Piracy Explanation


The piracy explanation argues that education equips people to succeed in privately remunerative but socially wasteful activities. If the basic institutional framework is arranged such that piracy/rent seeking is more preferable to chemical manufacturing (for instance), schooling may simple make people more skilled in embezzlement and other anti-competitive, growth-sapping activities. At a less extreme level, graduates may simply be funnelled into bloated public sectors – into sinecures that pay well individually, but have little to no effect on the productivity of the economy as a whole. These instances help square the high micro returns with low macro returns: education enables people to command a greater share of society’s resources, without increasing the size of the pie for all. This explanation points to the need for effective institutions to make privately remunerative activities more aligned with those that are socially useful.

The Wasteful Signal Explanation


An alternative explanation states that in many places, the quality of education is so poor that it equips people with very little productivity-enhancing skills. There is a plethora of dire statistics to support this view: in recent assessments in Ghana and Malawi, more than 4/5 of students at the end of Grade 2 (7 years old) could not read ‘the’ or ‘cat’, while only half of Grade 3 students in Nicaragua could correctly solve ‘5+6’ (World Development Report, 2018). These students probably attended schools characterised by the same universally depressing hallmarks: overpopulated classrooms, absent teachers and insufficient desks/learning materials. Against this backdrop, it is easy to see how education investment generates such disappointing aggregate results.

Of course, to complete this explanation, we must reconcile an ineffective education system with its ability to generate high individual returns. We can do this by introducing the concept of a ‘signal’. Suppose some people are naturally more productive than others. In a world of perfect information, these people earn higher wages. Now suppose that employers cannot identify how productive workers are ex ante. In the presence of this information asymmetry, education may be an effective means to ‘signal’ that you are a high productivity worker – if you graduate from school with a string of high grades, an employer may infer that you are more skilled than someone with no education, even if education itself does nothing to enhance your productivity.

When used this way, investment in education can lead to bad equilibrium outcomes. Imagine a theatre in which people stand to get a better view. This prompts others behind them to stand. If it is possible to stand, doing so is a dominant strategy for any individual. Standing not only has no benefits to society, it also increases the incentive for other individuals to engage in uncomfortable standing. The end result is that everybody is worse off, but no individual has an incentive to deviate – a concept known as coordination failure.

This explanation offers two policy implications. First, if people are using education as a signalling device, we can at least make the signal less wasteful by improving the quality of education. Our understanding of how to do so has greatly improved in recent years, thanks largely to the popularisation of randomised control trials (to be discussed in a later post). Even if we fail in this pursuit, if employers have access to alternative screening technologies this should reduce the incentive for workers to invest in a socially wasteful signal. Examples of other technologies include referral systems, interviews and apprenticeship programmes – all of which allow employers to better assess the ability of workers ex-ante.

[961 words]

References


This post draws heavily on the work of Lant Pritchett and his seminal 2001 paper, which offers the best discussion of the education paradox. Patrinos’ 2014 paper is (to my knowledge) the best paper in measuring the returns to schooling.
  • ·         Montengro & Patrinos (2014), ‘Comparable Estimates of Returns to Schooling Around the World’
  • ·         Pritchett (2001), ‘Where Has All the Education Gone?’


6 comments:

  1. How does Patrinos measure the social return to education? (e.g. 19% for Primary)

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    1. Sorry mate for the late reply. I can't remember how Patrinos does it exactly but I think it's basically done via a kind of growth accounting method. The basic idea being:
      - Take a human capital augmented Cobb-Douglas production function (e.g. from the famous Mankiw-Romer-Weil 1992 paper)
      - Decompose the production function to estimate the amount of growth attributable to each factor. This is basically done by total differentiation and then plugging in the growth rates and factor shares of each factor of production
      - Calculate the amount of growth attributable to human capital and use this as a proxy for the importance of education

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  3. Great blog Adam! I would perhaps add that there is now a global policy consensus that low-quality education (aka “the learning crisis”) is to blame for the poor aggregate returns to investment in schooling. Milestones in building this consensus were the 2015 UN Sustainable Development Goals, which replaced the MDGs’ focus on education enrolment with education quality, and the WDR 2018 on learning that you mention. This view is supported by evidence from Hanushek and Woessman (2012), which finds that direct measures of populations’ cognitive skills are a much better predictor of countries’ growth than schooling. (Aside: I don’t understand your point that Hanushek et al. (2012) challenge the view that education investment has a disappointing aggregate effect. The paper models the impact of cognitive skills and schooling on individual earnings and find that both are significant, which would suggest that schooling impacts on wages through channels other than skills. Wouldn’t this support the wasteful signal explanation?)

    I would also somewhat disagree that the explosion of RCTs of classroom and school-level interventions (which have been a direct result of the new policy consensus) have improved our understanding of how to convert schooling into learning, at least at scale. Development policymakers have really struggled to transition “successful” pilots into larger programmes required for country-level improvements in education outcomes. See Pritchett’s recent blog: https://www.cgdev.org/blog/wdr-2018-learning-all-all-learning

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    1. Thanks Hannah! I want to address the "learning crisis" again in the future. Sort of a "how far have we come, how far have we still got to go" type of post. Outline the massive triumphs in enrolment we've achieved over the last few decades - but that now the real priority should lie with the quality rather than quantity of education.

      I also agree with the point you make about the scalability issue with RCTs. Still, I think finding out what works at the micro level is an important precursor to macro-level change.

      My post after next will be on RCTs which I'm admittedly no expert in - so I may send you a preview!

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