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The Performance of Sample Selection Estimators to Control for Attrition Bias

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Author Info

  • Grasdal, A.

Abstract

Sample attrition is a potential source of selection bias in experimental as well as non-experimental programme evaluation. For labour market outcomes such as employment status and earnings, missing data problems caused by attrition can be circumvented by collection of follow-up data from administrative regiters. For most non labour market outcomes however, investigators must rely on participants willingness to cooperate in keeping detailed follow-up records and statistical correction procedures to identify and possibly adjust for attrition bias.

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Bibliographic Info

Paper provided by Department of Economics, University of Bergen in its series Norway; Department of Economics, University of Bergen with number 0101.

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Length: 28 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:bereco:0101

Contact details of provider:
Postal: Department of Economics, University of Bergen Fosswinckels Gate 6. N-5007 Bergen, Norway
Phone: (+47)55589200
Fax: (+47)55589210
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Web page: http://www.uib.no/econ/
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Keywords: LABOUR MARKET ; EXPERIMENTS ; EMPLOYMENT;

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References

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  1. repec:att:wimass:8909 is not listed on IDEAS
  2. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-73, March.
  3. Bratberg, E. & Grasdal, A. & Risa, A.E., 2000. "Evaluating Social Policy by Experimental and Nonexperimental Methods," Norway; Department of Economics, University of Bergen 1700, Department of Economics, University of Bergen.
  4. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
  5. Newey, Whitney K., 1999. "Consistency of two-step sample selection estimators despite misspecification of distribution," Economics Letters, Elsevier, vol. 63(2), pages 129-132, May.
  6. repec:att:wimass:9001 is not listed on IDEAS
  7. Newey, Whitney K & Powell, James L & Walker, James R, 1990. "Semiparametric Estimation of Selection Models: Some Empirical Results," American Economic Review, American Economic Association, vol. 80(2), pages 324-28, May.
  8. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July.
  9. Lee, Lung-Fei, 1984. "Tests for the Bivariate Normal Distribution in Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 52(4), pages 843-63, July.
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  11. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
  12. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  13. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
  14. 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.
  15. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
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  17. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
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  19. Manski, Charles F, 1990. "Nonparametric Bounds on Treatment Effects," American Economic Review, American Economic Association, vol. 80(2), pages 319-23, May.
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Cited by:
  1. Esther Duflo & Rachel Glennerster & Michael Kremer, 2006. "Using Randomization in Development Economics Research: A Toolkit," NBER Technical Working Papers 0333, National Bureau of Economic Research, Inc.
  2. Alison Snow Jones & David W. Richmond, 2006. "Causal effects of alcoholism on earnings: estimates from the NLSY," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 849-871.
  3. Hernandez-Hernandez, Emilio & Sam, Abdoul G. & Gonzalez-Vega, Claudio & Chen, Joyce J., 2012. "Does the insurance effect of public and private transfers favor financial deepening? evidence from rural Nicaragua," MPRA Paper 38339, University Library of Munich, Germany.
  4. Arndt Reichert & Harald Tauchmann, 2012. "When Outcome Heterogeneously Matters for Selection – A Generalized Selection Correction Estimator," Ruhr Economic Papers 0372, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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