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Response Error and the Union Wage Differential

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  • Christopher R. Bollinger

Abstract

Broad variation in estimates of the union wage gap has perplexed labor economists. One specification error that is consistent with the observed variation is measurement error in reported union status. This article applies results of Bollinger (1996) to estimate a range for the union wage gap. Both a cross‐sectional model and a fixed‐effects model are estimated. In order for the true coefficient in the fixed‐effects model to be bounded below the true coefficient in the cross‐sectional estimates, measurement error would have to be less than 0.8%. The difference between the fixed‐effects estimates and the cross‐sectional estimates is primarily due to measurement error rather than to unobserved heterogeneity. An examination of differences in returns to union membership by industry, occupation, and educational level shows that these differences are largely robust to measurement error. Many of these differences would be found even if error rates were as high as 10% or more.

Suggested Citation

  • Christopher R. Bollinger, 2001. "Response Error and the Union Wage Differential," Southern Economic Journal, John Wiley & Sons, vol. 68(1), pages 60-76, July.
    • Handle: RePEc:wly:soecon:v:68:y:2001:i:1:p:60-76
    DOI: 10.1002/j.2325-8012.2001.tb00397.x
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    References listed on IDEAS

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    1. Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
    2. Budd, John W & Na, In-Gang, 2000. "The Union Membership Wage Premium for Employees Covered by Collective Bargaining Agreements," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 783-807, October.
    3. Farber, Henry S, 1990. "The Decline of Unionization in the United States: What Can Be Learned from Recent Experience," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 75-105, January.
    4. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    5. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    6. Freeman, Richard B, 1984. "Longitudinal Analyses of the Effects of Trade Unions," Journal of Labor Economics, University of Chicago Press, vol. 2(1), pages 1-26, January.
    7. Klepper, Steven & Leamer, Edward E, 1984. "Consistent Sets of Estimates for Regressions with Errors in All Variables," Econometrica, Econometric Society, vol. 52(1), pages 163-183, January.
    8. repec:eee:labchp:v:2:y:1986:i:c:p:1139-1181 is not listed on IDEAS
    9. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    10. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    11. Barry T. Hirsch & Edward J. Schumacher, 1998. "Unions, Wages, and Skills," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 201-219.
    12. Mellow, Wesley & Sider, Hal, 1983. "Accuracy of Response in Labor Market Surveys: Evidence and Implications," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 331-344, October.
    13. Peracchi, Franco & Welch, Finis, 1995. "How representative are matched cross-sections? Evidence from the Current Population Survey," Journal of Econometrics, Elsevier, vol. 68(1), pages 153-179, July.
    14. AIGNER, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," LIDAM Reprints CORE 130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Card, David, 1996. "The Effect of Unions on the Structure of Wages: A Longitudinal Analysis," Econometrica, Econometric Society, vol. 64(4), pages 957-979, July.
    16. Ethel B. Jones, 1982. "Union/Nonunion Differentials: Membership or Coverage?," Journal of Human Resources, University of Wisconsin Press, vol. 17(2), pages 276-285.
    17. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-313, June.
    18. Robinson, Chris, 1989. "The Joint Determination of Union Status and Union Wage Effects: Some Tests of Alternative Models," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 639-667, June.
    19. Chowdhury, Gopa & Nickell, Stephen, 1985. "Hourly Earnings in the United States: Another Look at Unionization, Schooling, Sickness, and Unemployment Using PSID Data," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 38-69, January.
    20. Aigner, Dennis J. & Hsiao, Cheng & Kapteyn, Arie & Wansbeek, Tom, 1984. "Latent variable models in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 23, pages 1321-1393, Elsevier.
    21. Klepper, Steven, 1988. "Bounding the effects of measurement error in regressions involving dichotomous variables," Journal of Econometrics, Elsevier, vol. 37(3), pages 343-359, March.
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