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Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • John C. Ham & Xianghong Li & Patricia B. Reagan, 2004. "Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men," Working Papers 2004_3, York University, Department of Economics.
  • Handle: RePEc:yca:wpaper:2004_3
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    References listed on IDEAS

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    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. John Kennan & James R. Walker, 2011. "The Effect of Expected Income on Individual Migration Decisions," Econometrica, Econometric Society, vol. 79(1), pages 211-251, January.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    5. Bartel, Ann P, 1979. "The Migration Decision: What Role Does Job Mobility Play?," American Economic Review, American Economic Association, vol. 69(5), pages 775-786, December.
    6. Larry A. Sjaastad, 1970. "The Costs and Returns of Human Migration," Palgrave Macmillan Books, in: Harry W. Richardson (ed.), Regional Economics, chapter 9, pages 115-133, Palgrave Macmillan.
    7. Michael Lechner, 2000. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 347-375.
    8. Chris Robinson & Nigel Tomes, 1982. "Self-Selection and Interprovincial Migration in Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 15(3), pages 474-502, August.
    9. Linneman, Peter & Graves, Philip E., 1983. "Migration and job change: A multinomial logit approach," Journal of Urban Economics, Elsevier, vol. 14(3), pages 263-279, November.
    10. Falaris, Evangelos M, 1987. "A Nested Logit Migration Model with Selectivity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(2), pages 429-443, June.
    11. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    12. Hanushek, Eric A, 1973. "Regional Differences in the Structure of Earnings," The Review of Economics and Statistics, MIT Press, vol. 55(2), pages 204-213, May.
    13. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    14. Paul E. Gabriel & Susanne Schmitz, 1995. "Favorable Self-Selection and the Internal Migration of Young White Males in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 460-471.
    15. Borjas, George J. & Bronars, Stephen G. & Trejo, Stephen J., 1992. "Self-selection and internal migration in the United States," Journal of Urban Economics, Elsevier, vol. 32(2), pages 159-185, September.
    16. McCall, B P & McCall, J J, 1987. "A Sequential Study of Migration and Job Search," Journal of Labor Economics, University of Chicago Press, vol. 5(4), pages 452-476, October.
    17. Borjas, George J & Bronars, Stephen G & Trejo, Stephen J, 1992. "Assimilation and the Earnings of Young Internal Migrants," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 170-175, February.
    18. Robert H. Topel & Michael P. Ward, 1992. "Job Mobility and the Careers of Young Men," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 439-479.
    19. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    20. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
    21. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    22. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    23. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    24. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    25. Raphael, Steven & Riker, David A., 1999. "Geographic Mobility, Race, and Wage Differentials," Journal of Urban Economics, Elsevier, vol. 45(1), pages 17-46, January.
    26. Donald W. K. Andrews & Moshe Buchinsky, 2000. "A Three-Step Method for Choosing the Number of Bootstrap Repetitions," Econometrica, Econometric Society, vol. 68(1), pages 23-52, January.
    27. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    28. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    29. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    30. Andrews, Donald W. K. & Buchinsky, Moshe, 2001. "Evaluation of a three-step method for choosing the number of bootstrap repetitions," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 345-386, July.
    31. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    32. Jeffrey J. Yankow, 2003. "Migration, Job Change, and Wage Growth: A New Perspective on the Pecuniary Return to Geographic Mobility," Journal of Regional Science, Wiley Blackwell, vol. 43(3), pages 483-516, August.
    33. Tunali, Insan, 2000. "Rationality of Migration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(4), pages 893-920, November.
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    Cited by:

    1. Cécile Détang‐Dessendre & Carine Drapier & Hubert Jayet, 2004. "The Impact of Migration on Wages: Empirical Evidence from French Youth," Journal of Regional Science, Wiley Blackwell, vol. 44(4), pages 661-691, November.
    2. Tingting Liu & Hong Feng & Elizabeth Brandon, 2018. "Would you like to leave Beijing, Shanghai, or Shenzhen? An empirical analysis of migration effect in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-20, August.
    3. Zaiceva, Anzelika, 2006. "Self-Selection and the Returns to Geographic Mobility: What Can Be Learned from the German Reunification "Experiment"," IZA Discussion Papers 2524, Institute of Labor Economics (IZA).
    4. Acosta, Pablo, 2006. "Labor supply, school attendance, and remittances from international migration : the case of El Salvador," Policy Research Working Paper Series 3903, The World Bank.
    5. Peter McHenry, 2014. "The Geographic Distribution Of Human Capital: Measurement Of Contributing Mechanisms," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 215-248, March.
    6. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    7. Jennifer Hunt, 2004. "Are migrants more skilled than non-migrants? Repeat, return, and same-employer migrants," Canadian Journal of Economics, Canadian Economics Association, vol. 37(4), pages 830-849, November.
    8. Demiralp, Berna, 2009. "The Impact of Information on Migration Outcomes," MPRA Paper 16121, University Library of Munich, Germany.
    9. Cory Koedel & Rachana Bhatt, 2011. "Large-Scale Evaluations of Curricular Effectiveness: The Case of Elementary Mathematics in Indiana," Working Papers 1122, Department of Economics, University of Missouri, revised 31 Jan 2012.
    10. Hernán & Dusan, 2014. "Migración interna y diferenciales de ingreso: evidencia para Bogotá (Colombia) a partir de métodos de emparejamiento," Documentos de Trabajo en Economia y Ciencia Regional 48, Universidad Catolica del Norte, Chile, Department of Economics, revised Mar 2014.
    11. Rizwana Siddiqui, 2013. "Impact Evaluation of Remittances for Pakistan: Propensity Score Matching Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 52(1), pages 17-44.
    12. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    13. Randall Kuhn & Bethany Everett & Rachel Silvey, 2011. "The Effects of Children’s Migration on Elderly Kin’s Health: A Counterfactual Approach," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 183-209, February.
    14. Sonia Laszlo & Eric Santor, 2004. "Internal Migration and Borrowing Constraints: Evidence from Peru," Development and Comp Systems 0411022, University Library of Munich, Germany.
    15. Arthur Grimes & Judd Ormsby & Kate Preston, 2017. "Wages, Wellbeing and Location: Slaving Away in Sydney or Cruising on the Gold Coast," Working Papers 17_07, Motu Economic and Public Policy Research.
    16. Mahasuweerachai, Phumsith & Whitacre, Brian E. & Shideler, Dave W., 2010. "Does Broadband Access Impact Migration in America? Examining Differences between Rural and Urban Areas," The Review of Regional Studies, Southern Regional Science Association, vol. 40(1), pages 5-26.
    17. L. Blackburn, McKinley, 2006. "The impact of internal migration on married couples’ earnings in Britain, with a comparison to the United States," ISER Working Paper Series 2006-24, Institute for Social and Economic Research.
    18. Chung-Hua Shen & Yuan Chang, 2009. "Ambition Versus Conscience, Does Corporate Social Responsibility Pay off? The Application of Matching Methods," Journal of Business Ethics, Springer, vol. 88(1), pages 133-153, April.
    19. K. Bruce Newbold & W. Mark Brown, 2012. "Testing and Extending the Escalator Hypothesis: Does the Pattern of Post-migration Income Gains in Toronto Suggest Productivity and/or Learning Effects?," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3447-3465, November.
    20. Mahasuweerachai, Phumsith & Whitacre, Brian E. & Shideler, David W., 2009. "Does Broadband Access Impact Population Growth in Rural America?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49303, Agricultural and Applied Economics Association.
    21. Adnan M. S. Fakir & Naveen Abedin, 2021. "Empowered by Absence: Does Male Out-migration Empower Female Household Heads Left Behind?," Journal of International Migration and Integration, Springer, vol. 22(2), pages 503-527, June.

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    More about this item

    Keywords

    Propensity score matching; distance-based migration; wage growth;
    All these keywords.

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • 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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