Can Propensity Score Analysis Replicate Estimates Based on Random Assignment in Evaluations of School Choice? A Within-Study Comparison

Robert Bifulco (rbifulco@syr.edu)
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Robert Bifulco: Center for Policy Research, Maxwell School, Syracuse University, Syracuse, NY 13244-1020, https://www.maxwell.syr.edu/directory/robert-bifulco

No 124, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: The ability of propensity score analysis (PSA) to match impact estimates derived from random assignment (RA) is examined using data from the evaluation of two interdistrict magnet schools. As in previous within study comparisons, the estimates provided by PSA and RA differ substantially when PSA is implemented using comparison groups that are not similar to the treatment group and without pretreatment measures of academic performance. Adding pretreatment measures of the performance to the PSA, however, substantially improves the match between PSA and RA estimates. Although the results should not be generalized too readily, they suggest that nonexperimental estimators can, in some circumstances, provide valid estimates of the causal impact of school choice programs.

Keywords: Nonexperimental; quasi-experimental; propensity score analysis; design replication; school choice. (search for similar items in EconPapers)
JEL-codes: C21 C90 I21 I28 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2010-09
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:max:cprwps:124

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