Are Experiments the Only Option? A Look at Dropout Prevention Programs

Roberto Agodini and Mark Dynarski
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Roberto Agodini: Mathematica Policy Research, Inc
Mark Dynarski: Mathematica Policy Research, Inc

The Review of Economics and Statistics, 2004, vol. 86, issue 1, 180-194

Abstract: By comparing experimental and propensity-score impact estimates of dropout prevention programs, we examine whether propensity-score methods produce unbiased estimates of program impacts. We find no consistent evidence that such methods replicate experimental impacts in our setting. This finding holds even when the data available for matching are extensive. Our findings suggest that evaluators who plan to use nonexperimental methods, such as propensity-score matching, need to consider carefully how programs recruit individuals and why individuals enter programs, as unobserved factors may exert powerful influences on outcomes that are not easily captured using nonexperimental methods. 2004 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

JEL-codes: I20 I21 (search for similar items in EconPapers)
Date: 2004
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