Immigration and growth would help more than addressing the winners' 'manageable questions.'
Business
Standard : The Royal Swedish Academy of Sciences will award
the 2019
Nobel Prize in Economic Sciences to Abhijit Banerjee and Esther
Duflo of the Massachusetts Institute of Technology and Michael Kremer
of Harvard “for their experimental approach to alleviating global
poverty.” The award reveals a deepening fault line among economists
about how best to fight poverty.
What’s
striking about the award is that the Nobel committee gave it to the
three economists specifically for addressing “smaller, more
manageable questions”—such as how to improve educational outcomes
and child health in poor countries—rather than for big ideas. Mr.
Banerjee and Ms. Duflo (a married couple) explicitly reject thinking
about big questions in their 2011 book, “Poor Economics: A Radical
Rethinking of the Way to Fight Global Poverty.”
To
be sure, breaking down big issues into smaller questions can
sometimes allow quicker and more-direct solutions to unwieldy
problems. Yet in the case of global poverty, economists actually do
have pretty good ideas about how to fight the problem on a macro
scale. Namely, immigration and economic growth, which are by far the
most reliable ways to improve the quality of life among the world’s
poor.
The
relative narrowness of the scope of this year’s winners’ work is
owed in part to their method of analysis: randomized controlled
trials. Such trials allow economists to reduce the uncertainty of
economic analysis by eliminating the possibility of self-selection.
Yet they are also usually small in their scope, as the subjects
typically must be organized directly by the researchers.
In
the 1990s, Mr. Kremer and his co-authors used randomized controlled
trials to estimate the effects of providing more textbooks to
students and giving flip charts to schools in western Kenya. Although
more textbooks improved the test scores of the most able students,
they didn’t improve average test scores. Flip charts had no effect.
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