Nonparametric Analysis of Treatment Effects in Ordered Response Models

Stefan Boes

No 709, SOI - Working Papers from Socioeconomic Institute - University of Zurich

Abstract: This paper deals with the identification of treatment effects when the outcome variable is ordered. If outcomes are measured ordinally, previously developed methods to investigate the impact of an endogenous binary regressor on average outcomes cannot be applied as the expectation of an ordered variable, in its strict sense, does not exist, and a shift in focus to distributional effects is indispensable. Without imposing a fully fledged parametric model the treatment effects are generally not point-identified. Assuming a threshold crossing model on both the ordered potential outcomes and the binary treatment variable leaving the distribution of error terms and functional forms unspecified, it is discussed how the treatment effects can be bounded and inference on the bounds can be conducted.

Keywords: Nonparametric bounds; causal effects; potential outcomes; latent variables (search for similar items in EconPapers)
JEL-codes: C14 C25 C35 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2007-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Forthcoming in Empirical Economics

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https://www.zora.uzh.ch/id/eprint/52379/1/wp0709.pdf First version, 2007 (application/pdf)

Related works:
Journal Article: Nonparametric analysis of treatment effects in ordered response models (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:soz:wpaper:0709

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