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Nonparametric analysis of treatment effects in ordered response models


Boes, Stefan (2013). Nonparametric analysis of treatment effects in ordered response models. Empirical Economics, 44(1):81-109.

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.

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Economics
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Physical Sciences > Mathematics (miscellaneous)
Social Sciences & Humanities > Social Sciences (miscellaneous)
Social Sciences & Humanities > Economics and Econometrics
Language:English
Date:2013
Deposited On:24 Sep 2010 13:38
Last Modified:29 Jul 2020 21:58
Publisher:Springer
ISSN:0377-7332
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s00181-010-0354-y

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