Evidence of randomisation bias in a large-scale social experiment: The case of ERA

Barbara Sianesi

Journal of Econometrics, 2017, vol. 198, issue 1, 41-64

Abstract: We set out a theoretical framework for the systematic consideration of ‘randomisation bias’, estimate the causal impact of randomisation on participation patterns in an actual trial, and propose a non-experimental way of assessing the extent to which the experimental impacts are representative of the impacts that would have been experienced by the study sample that would have been obtained in the absence of random assignment. We also extend our estimator to deal with binary outcomes and to account for selective survey non-response, and explore partial and point identification of the parameter of interest under alternative assumptions on the selection process.

Keywords: Social experiments; Randomisation bias; Sample selection; Treatment effects; Matching methods; Reweighting estimators; Partial identification; External validity (search for similar items in EconPapers)
JEL-codes: C14 C21 J18 J38 (search for similar items in EconPapers)
Date: 2017
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:eee:econom:v:198:y:2017:i:1:p:41-64

DOI: 10.1016/j.jeconom.2017.01.003

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