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Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men Author info | Abstract | Publisher info | Download info | Related research | Statistics John C. Ham () (Department of Economics and CHRR, Ohio State University, the Federal Reserve Bank of New York, and IZA)
Xianghong Li (Department of Economics, York University)
Patricia B. Reagan (Department of Economics and CHRR, Ohio State University)
Our analysis of migration differs from previous research in three important aspects. First, we exploit the confidential geocoding in the NLSY79 to obtain a distance-based measure. Second, we let the effect of migration on wage growth differ by schooling level. Third, we use propensity score matching to measure the effect of migration on the wages of those who move. We develop an economic model and use it to (i) assess the appropriateness of matching as an econometric method for studying migration and (ii) choose the conditioning variables used in the matching procedure. Our data set provides a rich array of variables on which to match. We find a significant effect of migration on the wage growth of college graduates of 10 percent, and a marginally significant effect for high school dropouts of ¨C12 percent. If we use either a measure of migration based on moving across county lines or state lines, the significant effects of migration for college graduates and dropouts disappear.
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Paper provided by York University, Department of Economics in its series Working Papers with number
2004_3.
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Length: 50 pages
Date of creation: Dec 2004Date of revision:
Handle: RePEc:yca:wpaper:2004_3Contact details of provider: Postal: 4700 Keele Street, Toronto, Ontario, M3J 1P3 Phone: (416) 736-5083 Fax: (416) 736-5987 Web page: http://dept.econ.yorku.ca/ More information through EDIRC
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Keywords: Propensity score matching ; distance-based migration ; wage growth ; Other versions of this item:
Find related papers by JEL classification: J6 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
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