Title of article :
Trade and unemployment: What do the data say?
Author/Authors :
BY GABRIEL J. FELBERMAYR AND WILHELM KOHLER1، نويسنده , , Gabriel and Prat، نويسنده , , Julien and Schmerer، نويسنده , , Hans-Jِrg، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2011
Abstract :
This paper documents a robust empirical regularity: in the long-run, higher trade openness is associated with a lower structural rate of unemployment. We establish this fact using: (i) panel data from 20 OECD countries, (ii) cross-sectional data on a larger set of countries. The time structure of the panel data allows us to control for unobserved heterogeneity, whereas cross-sectional data make it possible to instrument openness by its geographical component. In both setups, we purge the data of business cycle effects, include a host of institutional and geographical variables, and control for within-country trade. Our main finding is robust to various definitions of unemployment rates and openness measures. Our benchmark specification suggests that a 10 percentage point increase in total trade openness reduces aggregate unemployment by about three quarters of one percentage point.
Keywords :
GMM models , Unemployment , International trade , Real openness , IV estimation
Journal title :
European Economic Review
Journal title :
European Economic Review