Nonparametric analysis of treatment effects in ordered response models

Stefan Boes

Empirical Economics, 2013, vol. 44, issue 1, 109 pages

Abstract: Treatment analyses based on average outcomes do not immediately generalize to the case of ordered responses because the expectation of an ordinally measured variable does not exist. The proposed remedy in this paper is a shift in focus to distributional effects. Assuming a threshold crossing model on both the ordered potential outcomes and the binary treatment variable, and leaving the distribution of error terms and functional forms unspecified, the paper discusses how the treatment effects can be bounded. The construction of bounds is illustrated in a simulated data example. Copyright Springer-Verlag 2013

Keywords: Nonparametric bounds; Causal effects; Instrumental variables; Endogenous binary regressor; Partial identification; C14; C25; C35 (search for similar items in EconPapers)
Date: 2013
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Working Paper: Nonparametric Analysis of Treatment Effects in Ordered Response Models (2007)
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DOI: 10.1007/s00181-010-0354-y

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