International mobility of people is measured much less accurately than that of goods or finances. The most common sources of global data are from national censuses, which occur only every 10 years (and take years more to come out). Specialized surveys in some countries allow more frequent measurement of some flows, but such data are still relatively rare, and poorly suited to studying short-term migration movements.
Since I’ve had three emails in one week asking me about this issue, I figured I might as well blog about it and have something to refer people to instead. The questions have all been variants of:
· Are women better remitters than men?
· Does having mothers migrate result in worse outcomes for kids than having their fathers migrate?
Several countries around the world (notably Australia and Canada) have migration points systems- score above some points threshold and you can come in, score below and you can’t. This has intrigued me with the possibility of a regression-discontinuity design to measure impacts of migrating. However, there are several problems – the points given tend to be lumpy (e.g.
This is the second in our series of posts by graduate students on the job market this year.
This is the first in this year’s series of posts by PhD students on the job market.
“More and better jobs” is a goal for many policymakers around the world (along with part of the title for a recent World Bank South Asia flagship report on employment). How to create “good jobs” is a key question that the next World Development Report is also expected to help answer.
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.