Sample attrition and labor supply response in experimental panel data a study of alternative correction procedures

Philip Robins, Richard W. West

Research output: Contribution to journalArticle

3 Scopus citations


Sample attrition is a potentially serious problem for analysis of panel data, particularly experimental panel data. In this article, a variety of estimation procedures are used to assess the importance of attrition bias in labor supply response to the Seattle and Denver Income Maintenance Experiments (SIME/DIME). Data from Social Security Administration earnings records and the SIME/DIME public use file are used to test various hypotheses concerning attrition bias. The study differs from previous research in that data on both attriters and nonattriters are used to estimate the experimental labor supply response. Although not conclusive, the analysis suggests that attrition bias is probably not a serious enough problem in the SIME/DIME data to warrant extensive correction procedures. The methodology used in this study could be applied to other panel data sets.

Original languageEnglish (US)
Pages (from-to)328-339
Number of pages12
JournalJournal of Business and Economic Statistics
Issue number3
StatePublished - Jan 1 1986


ASJC Scopus subject areas

  • Statistics and Probability
  • Social Sciences (miscellaneous)
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty

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