Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, Hannover
This paper uses Indian EUS-NSSO data on 32 states/union territories and 570 districts for a bi-annual panel with 5 waves to estimate how regional population reacts to asymmetric shocks. These shocks are measured by non-employment rates, unemployment rates, and wages in fixed-effects regressions which effectively use changes in these indicators over time within regions as identifying information. Because we include region and time effects, we interpret regression-adjusted population changes as proxies for regional migration. Comparing the results with those for the United States and the European Union, the most striking difference is that, in India, we do not find any significant reactions to asymmetric non-employment shocks at the state level, only at the district level, whereas the estimates are statistically significant and of similar size for the state/NUTS-1 and district level in both the United States and Europe. We find that Indian workers react to asymmetric regional shocks by adjusting up to a third of a regional non-employment shock through migration within two years. This is somewhat higher than the response to non-employment shocks in the United States and the European Union but somewhat lower than the response to unemployment shocks in these economies. In India, the unemployment rate does not seem to be a reliable measure of regional shocks, at least we find no significant effects for it. However, we find a significant population response to regional wage differentials in India at both the state and district level.
Migration Population Regional Convergence Non-Employment Unemployment Wages