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Horseshoes, hand grenades, and treatment effects? Reassessing whether nonexperimental estimators are biased
ARTICLE

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Economics of Education Review Volume 44, Number 1, ISSN 0272-7757 Publisher: Elsevier Ltd

Abstract

Randomized controlled trials (RCTs) are considered the gold standard in estimating treatment effects. When an RCT is infeasible, regression modeling or statistical matching are often used instead. Nonexperimental methods such as these could produce unbiased estimates if the underlying assumptions hold, but those assumptions are usually not testable. Most prior studies testing nonexperimental designs find that they fail to produce unbiased estimates, but these studies have examined weaker evaluation designs. The present study addresses these limitations using student-level data based on a large-scale RCT of charter schools for which standardized achievement tests are the key outcome measure. The use of baseline data that are strongly predictive of the key outcome measures considerably reduces but might not completely eliminate bias.

Citation

Fortson, K., Gleason, P., Kopa, E. & Verbitsky-Savitz, N. (2015). Horseshoes, hand grenades, and treatment effects? Reassessing whether nonexperimental estimators are biased. Economics of Education Review, 44(1), 100-113. Elsevier Ltd. Retrieved October 22, 2019 from .

This record was imported from Economics of Education Review on March 1, 2019. Economics of Education Review is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.econedurev.2014.11.001

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