An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of income Dynamics
By 1989 the Michigan Panel Study on Income Dynamics (PSID) had experimented approximately 50 percent sample loss from cumulative attrition from its initial 1968 membership We study the effect of this attrition on the unconditional distributions of several socioeconomic variables and on the estimates of regression coefficients for those variables We provide a statistical framework for conducting tests for attrition bias that draws a sharp distinction between selection on unobservables and on observables and that shows that weighted least squares can generate consistent parameter estimates when selection is based on observables that are endogenous Our empirical analysis shows that attrition is highly selective and is concentrated among lower socioeconomic status individuals We also show that attrition is concentrated among those with more unstable earnings marriage and migration histories holding fixed the level of those variables Nevertheless we find that the absolute magnitude of the selection is not large and it is moderated by regression-to-the-mean effects from attrition on transitory components Consequently despite the large amount of attrition the PSID has remained roughly representative through 1989
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1998|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.econ.jhu.edu
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Becketti, Sean, et al, 1988. "The Panel Study of Income Dynamics after Fourteen Years: An Evaluatio n," Journal of Labor Economics, University of Chicago Press, vol. 6(4), pages 472-92, October.
- John M. Abowd & David Card, 1986.
"On the Covariance Structure of Earnings and Hours Changes,"
NBER Working Papers
1832, National Bureau of Economic Research, Inc.
- Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-45, March.
- Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.
- Guido W. Imbens & Judith K. Hellerstein, 1996.
"Imposing Moment Restrictions from Auxiliary Data by Weighting,"
NBER Technical Working Papers
0202, National Bureau of Economic Research, Inc.
- Judith K. Hellerstein & Guido W. Imbens, 1999. "Imposing Moment Restrictions From Auxiliary Data By Weighting," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 1-14, February.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Imbens, G. & Lancaster, T., 1991.
"Efficient Estimation And Stratified Sampling,"
Harvard Institute of Economic Research Working Papers
1545, Harvard - Institute of Economic Research.
- Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
- 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.
- Imbens, Guido W & Lancaster, Tony, 1994.
"Combining Micro and Macro Data in Microeconometric Models,"
Review of Economic Studies,
Wiley Blackwell, vol. 61(4), pages 655-80, October.
- Imbens, G.W. & Lancaster, T., 1991. "Combining Micro and Macro Data in Microeconometric Models," Harvard Institute of Economic Research Working Papers 1578, Harvard - Institute of Economic Research.
- Horowitz, Joel L. & Manski, Charles F., 1998.
"Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations,"
Journal of Econometrics,
Elsevier, vol. 84(1), pages 37-58, May.
- Horowitz, J.L. & Manski, C.F., 1995. "Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and Estimation Using Weights and Imputations," Working papers 9525, Wisconsin Madison - Social Systems.
- Horowitz, J.L. & Manski, C.F., 1995. "Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and estimation Using Weights and Imputations," Working Papers 95-12, University of Iowa, Department of Economics.
- Joel L. Horowitz & Charles F. Manski, 1996. "Censoring of Outcomes and Regressors Due To Survey Nonresponse: Identification and Estimation Using Weights and Imputations," Econometrics 9602007, EconWPA, revised 06 Mar 1996.
- Ridder, Geert, 1992. "An empirical evaluation of some models for non-random attrition in panel data," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 337-355, December.
- Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July.
- James J. Heckman, 1989.
"Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The Case of Manpower Training,"
NBER Working Papers
2861, National Bureau of Economic Research, Inc.
- 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.
- Berg, G.J. & Lindeboom, M. & Ridder, G., 1993.
"Attrition in longitudinal panel data, and the empirical analysis of dynamic labour market behaviour,"
Serie Research Memoranda
0014, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Van den Berg, G J & Lindeboom, M & Ridder, G, 1994. "Attrition in Longitudinal Panel Data and the Empirical Analysis of Dynamic Labour Market Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 421-35, Oct.-Dec..
- Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Non-response in panel data : The impact on estimates of a life cycle consumption function," Other publications TiSEM 3c661e33-2cd1-47f1-a7d9-3, Tilburg University, School of Economics and Management.
- Sean Becketti & William Gould & Lee Lillard & Finis Welch, 1985. "The Panel Study of Income Dynamics After Fourteen Years: An Evaluation," UCLA Economics Working Papers 361, UCLA Department of Economics.
- Nijman, Theo & Verbeek, Marno, 1992. "Nonresponse in Panel Data: The Impact on Estimates of a Life Cycle Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(3), pages 243-57, July-Sept.
- Manski, C.F., 1990. "The Selection Problem," Working papers 90-12, Wisconsin Madison - Social Systems.
- 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.
- repec:dgr:uvatin:19980033 is not listed on IDEAS
- Duncan, Greg J & Hill, Daniel H, 1989. "Assessing the Quality of Household Panel Data: The Case of the Panel Study of Income Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 441-52, October.
When requesting a correction, please mention this item's handle: RePEc:jhu:papers:379. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (None)The email address of this maintainer does not seem to be valid anymore. Please ask None to update the entry or send us the correct address
If references are entirely missing, you can add them using this form.