Distributional Analysis in Educational Evaluation: A Case ...
Journal of Research on Educational Effectiveness, 8: 419 450, 2015Copyright Taylor & Francis Group, LLCISSN: 1934-5747 print / 1934-5739 onlineDOI: Analysis in Educational Evaluation: A CaseStudy from the New York City Voucher ProgramMarianne Bitler, Thurston Domina, and Emily PennerUniversity of California, Irvine, Irvine, California, USAHilary HoynesUniversity of California, Berkeley, Berkeley, California, USAAbstract:We use quantile treatment effects estimation to examine the consequences of the random-assignment New York City School Choice Scholarship Program across the distribution of studentachievement. Our analyses suggest that the program had negligible and statistically insignificanteffects across the skill distribution. In addition to contributing to the literature on school choice,the article illustrates several ways in which Distributional effects estimation can enrich educationalresearch: First, we demonstrate that moving beyond a focus on mean effects estimation makes itpossible to generate and test new hypotheses about the heterogeneity of Educational treatment effectsthat speak to the justification for many interventions.
Distributional Analysis in Educational Evaluation 421 group of low income children in grades K–4. This program’s random assignment design makes it possible to generate unbiased estimates of the effects of a voucher offer for
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