IDEAS home Printed from https://ideas.repec.org/p/fip/fedhwp/wp-01-24.html
   My bibliography  Save this paper

The mis-measurement of permanent earnings: new evidence from Social Security earnings data

Author

Listed:
  • Bhashkar Mazumder

Abstract

This study investigates the reliability of using short-term averages of earnings as a proxy for permanent earnings in empirical research. An earnings dynamics model is estimated on a large sample of men covering the period from 1983 to 1997 following the cohort-based methodology of Baker and Solon (1999). The analysis uses a unique dataset that matches men in the 1984, 1990 and 1996 Surveys of Income and Program Participation (SIPP) to the Social Security Administration's Summary Earnings Records (SER). The results confirm that using a short-term average of earnings can lead to spurious estimates of the effect of lifetime earnings on a particular outcome. In addition, the transitory variance appears to vary considerably over the lifecycle. The share of earnings variance due to transitory factors is higher among blacks and the persistence of transitory shocks appears to be greater for this group as well. Finally, the transitory variance appears to be a more important factor in explaining the overall earnings variance of college educated men than those without college.

Suggested Citation

  • Bhashkar Mazumder, 2001. "The mis-measurement of permanent earnings: new evidence from Social Security earnings data," Working Paper Series WP-01-24, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhwp:wp-01-24
    as

    Download full text from publisher

    File URL: http://www.chicagofed.org/digital_assets/publications/working_papers/2001/Wp2001-24.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Grawe, Nathan D., 2003. "Life Cycle Bias in the Estimation of Intergenerational Earnings Persistence," Analytical Studies Branch Research Paper Series 2003207e, Statistics Canada, Analytical Studies Branch.
    2. Miles Corak & Andrew Heisz, 1999. "The Intergenerational Earnings and Income Mobility of Canadian Men: Evidence from Longitudinal Income Tax Data," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 504-533.
    3. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, September.
    4. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
    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. David Card, 1990. "Intertemporal Labor Supply: An Assessment," Working Papers 649, Princeton University, Department of Economics, Industrial Relations Section..
    7. Grawe, Nathan D., 2006. "Lifecycle bias in estimates of intergenerational earnings persistence," Labour Economics, Elsevier, vol. 13(5), pages 551-570, October.
    8. Peter Gottschalk & Robert Moffitt, 1994. "The Growth of Earnings Instability in the U.S. Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(2), pages 217-272.
    9. Clark, Todd E, 1996. "Small-Sample Properties of Estimators of Nonlinear Models of Covariance Structure," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 367-373, July.
    10. Jacob Mincer, 1991. "Human Capital, Technology, and the Wage Structure: What Do Time Series Show?," NBER Working Papers 3581, National Bureau of Economic Research, Inc.
    11. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, September.
    12. Bhashkar Mazumder, 2001. "Earnings mobility in the US: a new look at intergenerational inequality," Working Paper Series WP-01-18, Federal Reserve Bank of Chicago.
    13. 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.
    14. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
    15. David M. Blau, 1999. "The Effect Of Income On Child Development," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 261-276, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jørgen Modalsli & Kelly Vosters, 2024. "Spillover Bias in Multigenerational Income Regressions," Journal of Human Resources, University of Wisconsin Press, vol. 59(3), pages 743-776.
    2. Edward N. Wolff, 2018. "The Decline of African-American and Hispanic Wealth since the Great Recession," NBER Working Papers 25198, National Bureau of Economic Research, Inc.
    3. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    4. Chelsea Murray & Robert Graham Clark & Silvia Mendolia & Peter Siminski, 2018. "Direct Measures of Intergenerational Income Mobility for Australia," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 445-468, December.
    5. Brenner, Jan, 2010. "Life-cycle variations in the association between current and lifetime earnings: Evidence for German natives and guest workers," Labour Economics, Elsevier, vol. 17(2), pages 392-406, April.
    6. Lindquist, Matthew J. & Böhlmark, Anders, 2005. "Life-Cycle Variations in the Association between Current and Lifetime Income: Country, Cohort and Gender Comparisons," Working Paper Series 4/2005, Stockholm University, Swedish Institute for Social Research.
    7. Jesse Rothstein & Nathan Wozny, 2013. "Permanent Income and the Black-White Test Score Gap," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 510-544.
    8. Maury Gittleman & Edward N. Wolff, 2004. "Racial Differences in Patterns of Wealth Accumulation," Journal of Human Resources, University of Wisconsin Press, vol. 39(1).
    9. Bhashkar Mazumder & Jonathan Davis, 2011. "Parental Earnings and Children's Well-Being and Future Success: An Analysis of the SIPP Matched to SSA Earnings Data," Working Papers 11-12, Center for Economic Studies, U.S. Census Bureau.
    10. Corak, Miles & Lindquist, Matthew J. & Mazumder, Bhashkar, 2014. "A comparison of upward and downward intergenerational mobility in Canada, Sweden and the United States," Labour Economics, Elsevier, vol. 30(C), pages 185-200.
    11. Anders Bohlmark & Matthew J. Lindquist, 2006. "Life-Cycle Variations in the Association between Current and Lifetime Income: Replication and Extension for Sweden," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 879-900, October.
    12. Nilsen, Øivind Anti & Vaage, Kjell & Aakvik, Arild & Jacobsen, Karl, 2008. "Estimates of Intergenerational Elasticities Based on Lifetime Earnings," IZA Discussion Papers 3709, Institute of Labor Economics (IZA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dean R. Hyslop, 2001. "Rising U.S. Earnings Inequality and Family Labor Supply: The Covariance Structure of Intrafamily Earnings," American Economic Review, American Economic Association, vol. 91(4), pages 755-777, September.
    2. Eric French, 2004. "The Labor Supply Response to (Mismeasured but) Predictable Wage Changes," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 602-613, May.
    3. Bhashkar Mazumder, 2003. "Revised estimates of intergenerational income mobility in the United States," Working Paper Series WP-03-16, Federal Reserve Bank of Chicago.
    4. Eisenhauer, Philipp & Pfeiffer, Friedhelm, 2008. "Assessing intergenerational earnings persistence among German workers," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 119-137.
    5. Giesecke, Matthias & Bönke, Timm & Lüthen, Holger, 2011. "The Dynamics of Earnings in Germany: Evidence from Social Security Records," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48692, Verein für Socialpolitik / German Economic Association.
    6. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    7. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    8. Blanden, Jo & Goodman, Alissa & Gregg, Paul & Machin, Stephen, 2002. "Changes in intergenerational mobility in Britain," LSE Research Online Documents on Economics 19507, London School of Economics and Political Science, LSE Library.
    9. Dwayne Benjamin & Loren Brandt & Jia-Zhueng Fan, 2003. "Ceaseless Toil? Health and Labor Supply of the Elderly in Rural China," William Davidson Institute Working Papers Series 2003-579, William Davidson Institute at the University of Michigan.
    10. Ostrovsky, Yuri, 2008. "Earnings Inequality and Earnings Instability of Immigrants in Canada," Analytical Studies Branch Research Paper Series 2008309e, Statistics Canada, Analytical Studies Branch.
    11. Cheti Nicoletti & Marco Francesconi, 2006. "Intergenerational mobility and sample selection in short panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1265-1293.
    12. Bhashkar Mazumder, 2001. "Earnings mobility in the US: a new look at intergenerational inequality," Working Paper Series WP-01-18, Federal Reserve Bank of Chicago.
    13. Eisenhauer, Philipp & Pfeiffer, Friedhelm, 2008. "Assessing intergenerational earnings persistence among German workers," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 119-137.
    14. Storesletten, Kjetil & Violante, Giovanni & Heathcote, Jonathan, 2004. "The Cross-Sectional Implications of Rising Wage Inequality in the United States," CEPR Discussion Papers 4296, C.E.P.R. Discussion Papers.
    15. Eisenhauer, Philipp & Pfeiffer, Friedhelm, 2008. "Assessing intergenerational earnings persistence among German workers," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 119-137.
    16. Zhao, Zhong, 2007. "Earnings Instability and Earnings Inequality in Urban China: 1989–2006," IZA Discussion Papers 3270, Institute of Labor Economics (IZA).
    17. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    18. Antonella Trigari, 2006. "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 304, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    19. Joachim Inkmann, 2000. "Finite Sample Properties of One-Step, Two-Step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," Econometric Society World Congress 2000 Contributed Papers 0332, Econometric Society.
    20. Philip Trostel & Ian Walker, 2006. "Education and Work," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 377-399.

    More about this item

    Keywords

    Income; Social security; Wages;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedhwp:wp-01-24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lauren Wiese (email available below). General contact details of provider: https://edirc.repec.org/data/frbchus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.