Using state administrative data to measure program performance

Peter R. Mueser, Kenneth R. Troske, Alexey Gorislavsky

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

We use administrative data from Missouri to examine the sensitivity of earnings impact estimates for a job training program, based on alternative nonexperimental methods. We consider regression, adjustment, Mahalanobis distance matching, and various methods using propensity-score matching, examining both cross-sectional estimates and difference-in-difference estimates. Specification tests suggest that the difference-in-difference estimator may provide a better measure of program impact. We find that propensity-score matching is most effective, but the detailed implementation is not of critical importance. Our analyses demonstrate that existing data can be used to obtain useful estimates of program, impact.

Original languageEnglish
Pages (from-to)761-783
Number of pages23
JournalReview of Economics and Statistics
Volume89
Issue number4
DOIs
StatePublished - Nov 2007

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Economics and Econometrics

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