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Measurement Error in the SIPP: Evidence from Matched Administrative Records: Working Paper 2007-03

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  • Julian Cristia
  • Jonathan A. Schwabish

Abstract

Validation studies that compare survey-reported earnings to administrative-recorded earnings are useful to assess the extent and implications of measurement error in labor market data. While previous work typically used small restrictive samples with topcoded earnings, this paper uses data from the 1996 Survey of Income and Program Participation (SIPP) Panel matched to Social Security administrative records. This large representative sample contains uncapped administrative earnings and allows us to provide more definitive evidence on measurement error. Results show that

Suggested Citation

  • Julian Cristia & Jonathan A. Schwabish, 2007. "Measurement Error in the SIPP: Evidence from Matched Administrative Records: Working Paper 2007-03," Working Papers 18322, Congressional Budget Office.
    • Handle: RePEc:cbo:wpaper:18322
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    References listed on IDEAS

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    1. Peter T. Gottschalk & Minh Huynh, 2005. "Validation Study of Earnings Data in the SIPP – Do Older Workers Have Larger Measurement Error?," Working Papers, Center for Retirement Research at Boston College wp2005-7, Center for Retirement Research, revised May 2005.
    2. 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.
    3. 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.
    4. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
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    Cited by:

    1. Bruce D. Meyer & Nikolas Mittag & Derek Wu, 2024. "Race, Ethnicity and Measurement Error," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    2. Dahl, Molly & DeLeire, Thomas & Schwabish, Jonathan, 2009. "Stepping Stone or Dead End? The Effect of the EITC on Earnings Growth," National Tax Journal, National Tax Association;National Tax Journal, vol. 62(2), pages 329-346, June.
    3. Richard W. Johnson & Melissa M. Favreault & Corina Mommaerts, 2009. "Work Ability and the Social Insurance Safety Net in the Years Prior to Retirement," Working Papers, Center for Retirement Research at Boston College wp2009-28, Center for Retirement Research, revised Nov 2009.
    4. Molly Dahl & Thomas DeLeire & Jonathan Schwabish & Timothy Smeeding, 2012. "The Earned Income Tax Credit and Expected Social Security Retirement Benefits Among Low-Income Women: Working Paper 2012-06," Working Papers 43033, Congressional Budget Office.
    5. Gutknecht, Daniel, 2011. "Nonclassical Measurement Error in a Nonlinear (Duration) Model," Economic Research Papers 270763, University of Warwick - Department of Economics.

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