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Galtonian Regression of Intergenerational Income Linkages : Biased Procedures, a New Estimator and Mean-Square Error Comparisons

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  • Ramses H. ABUL NAGA

Abstract

Because the permanent incomes of parents are children are typically unobserved, the estimation of the intergenerational correlation via the use of proxy variables entails an errors-in-variables bias. By solving a system of moment equations for income observed at a given year, and a T-period average of this variable, we derive an analytical form for the signal to total variance ratio. In turn, we propose a simple estimator of the intergenerational elasticity via division of the OLS estimator by this quantity. Estimates of the intergenerational elasticity derived from a PSID sample range between 0.34 and 0.69. The averaging estimator provides intermediary values between OLS and the proposed estimator. Persistence is higher for family income measures than labor market outcomes. Estimates generally increase for moving average specifications in comparison to the assumption that measurement errors are uncorrelated. The three estimators are further examined in the light of their mean-square errors (square bias plus variance).

Suggested Citation

  • Ramses H. ABUL NAGA, 2000. "Galtonian Regression of Intergenerational Income Linkages : Biased Procedures, a New Estimator and Mean-Square Error Comparisons," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 00.13, Université de Lausanne, Faculté des HEC, DEEP.
  • Handle: RePEc:lau:crdeep:00.13
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    1. Dearden, Lorraine & Machin, Stephen & Reed, Howard, 1997. "Intergenerational Mobility in Britain," Economic Journal, Royal Economic Society, vol. 107(440), pages 47-66, January.
    2. Solon, Gary, 1999. "Intergenerational mobility in the labor market," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 29, pages 1761-1800 Elsevier.
    3. Christian Schluter, 1998. "Income Dynamics in Germany, the USA and the UK: Evidence from Panel Data," CASE Papers case08, Centre for Analysis of Social Exclusion, LSE.
    4. Joseph G. Altonji & Thomas A. Dunn, 1991. "Relationships Among the Family Incomes and Labor Market Outcomes of Relatives," NBER Working Papers 3724, National Bureau of Economic Research, Inc.
    5. Ramses ABUL NAGA & Jaya KRISHNAKUMAR, 1999. "Panel Data Estimation of the Intergenerational Correlation of Incomes," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 9910, Université de Lausanne, Faculté des HEC, DEEP.
    6. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    7. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    8. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    9. Behrman, Jere R & Taubman, Paul, 1990. "The Intergenerational Correlation between Children's Adult Earnings and Their Parents' Income: Result from the Michigan Panel Survey of Income Dynamics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 36(2), pages 115-127, June.
    10. Aigner, D. J., 1974. "MSE dominance of least squares with errors-of-observation," Journal of Econometrics, Elsevier, vol. 2(4), pages 365-372, December.
    11. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June.
    12. Bowles, Samuel, 1972. "Schooling and Inequality from Generation to Generation," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 219-251, Part II, .
    13. Griliches, Zvi, 1986. "Economic data issues," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 25, pages 1465-1514 Elsevier.
    14. Zimmerman, David J, 1992. "Regression toward Mediocrity in Economic Stature," American Economic Review, American Economic Association, vol. 82(3), pages 409-429, June.
    15. Bjorklund, Anders & Jantti, Markus, 1997. "Intergenerational Income Mobility in Sweden Compared to the United States," American Economic Review, American Economic Association, vol. 87(5), pages 1009-1018, December.
    16. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    17. Solon, Gary, 1989. "Biases in the Estimation of Intergenerational Earnings Correlations," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 172-174, February.
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    Cited by:

    1. Mario Jametti & Thomas von Ungern-Sternberg, 2005. "Assessing the Efficiency of an Insurance Provider—A Measurement Error Approach," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 30(1), pages 15-34, June.
    2. Ramses H. ABUL NAGA, 2001. "Biases of the Ordinary Least Squares and Instrumental Variables Estimators of the Intergenerational Earnings Correlation : Revisited in the Light of Panel Data," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 01.05, Université de Lausanne, Faculté des HEC, DEEP.
    3. D. O’Neill & O. Sweetman & D. Van De Gaer, 2002. "Consequences of Specification Error for Distributional Analysis With an Application to Intergenerational Mobility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/156, Ghent University, Faculty of Economics and Business Administration.

    More about this item

    Keywords

    intergenerational mobility; Galtonian regression; errors in variables; mean-square errors;

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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