Attenuation Bias in Measuring the Wage Impact of Immigration

Abdurrahman Aydemir, George J. Borjas

Journal of Labor Economics · 2010 · 202 citations · 43 references

Concepts

TL;DR

Economic theory predicts that immigration-induced supply shifts lower relative wages, yet evidence has been weak, partly because the commonly used immigrant share measure suffers from significant sampling error. After controlling for permanent wage determinants, little variation remains in the immigrant share; correcting for the resulting attenuation bias in census data can substantially raise estimates of immigration’s wage impact.

Abstract

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.

References

43