Institutional Affiliation: Sabanci University
|Attenuation Bias in Measuring the Wage Impact of Immigration|
with : w16229
Although economic theory predicts an inverse relation between relative wages and immigration-induced supply shifts, it has been difficult to document such effects. The weak evidence may be partly due to sampling error in a commonly used measure of the supply shift, the immigrant share of the workforce. After controlling for permanent factors that determine wages in specific labor markets, little variation remains in the immigrant share. We find significant sampling error in this measure of supply shifts in Canadian and U.S. Census data. Correcting for the resulting attenuation bias can substantially increase existing estimates of the wage impact of immigration.
Published: Abdurrahman Aydemir & George J. Borjas, 2011. "Attenuation Bias in Measuring the Wage Impact of Immigration," Journal of Labor Economics, University of Chicago Press, vol. 29(1), pages 69-113, 01. citation courtesy of
|A Comparative Analysis of the Labor Market Impact of International Migration: Canada, Mexico, and the United States|
with : w12327
Using data drawn from the Canadian, Mexican, and U.S. Censuses, we find a numerically comparable and statistically significant inverse relation between immigrant-induced shifts in labor supply and wages in each of the three countries: A 10 percent labor supply shift is associated with a 3 to 4 percent opposite-signed change in wages. Despite the similarity in the wage response, the impact of migration on the wage structure differs significantly across countries. International migration narrowed wage inequality in Canada; increased it in the United States; and reduced the relative wage of workers at the bottom of the skill distribution in Mexico.