Despite the large and growing literatures on migration in economics, sociology, and other social sciences, there is surprisingly little work which actually evaluates the impact of particular migration policies (most of the literature concerns the determinants of migrating, and the consequences of doing so for the migrants, their families, and for native workers). I am therefore always interested to see new work in this area, particularly work which manages to obtain experimental variation in policy implementation.
Last year 14 million people around the world applied for the 50,000 green cards available through the U.S. Diversity Visa lottery, commonly known as the Green Card lottery.
International migration is the most effective action that people in developing countries can take to increase their incomes and well-being. Yet our ability to learn about the policies that enhance or inhibit the gains to migration is severely restricted due to the poor state of migration data. One element of this is the lack of representative surveys of immigrants.
Much of the debate about the effects of immigration on native workers focuses on possible negative consequences for wages or employment. However, a series of recent papers highlights a big positive effect – having immigrants as cleaners, nannies, and home-care assistants allows high-skilled women to work more.
Studying abroad is becoming increasingly common in many countries – with almost 3 million students educated each year at the tertiary level in a country other than their own. For developing countries in particular, studying abroad offers many of the promises and fears of brain drain (both of which I think are overblown).
This week I want to talk about some interesting work that Gharad Bryan, Shyamal Chowdhury and Mushfiq Mobarak are doing in Bangladesh (policy note and presentation are online, paper coming shortly).