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Natural and Quasi-Experiments in Economics
Bruce D. Meyer
Journal of Business & Economic Statistics
Vol. 13, No. 2, JBES Symposium on Program and Policy Evaluation (Apr., 1995), pp. 151-161
Stable URL: http://www.jstor.org/stable/1392369
Page Count: 11
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Using research designs patterned after randomized experiments, many recent economic studies examine outcome measures for treatment groups and comparison groups that are not randomly assigned. By using variation in explanatory variables generated by changes in state laws, government draft mechanisms, or other means, these studies obtain variation that is readily examined and is plausibly exogenous. This article describes the advantages of these studies and suggests how they can be improved. It also provides aids in judging the validity of inferences that they draw. Design complications such as multiple treatment and comparison groups and multiple preintervention or postintervention observations are advocated.
Journal of Business & Economic Statistics © 1995 American Statistical Association