Rothe, Christoph (2009) Unconditional Partial Effects of Binary Covariates. TSE Working Paper, n. 09-79

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Abstract

In this paper, we study the effect of a small ceteris paribus change in the marginal distribution of a binary covariate on some feature of the unconditional distribution of an outcome variable of interest. We show that the RIF regression techniques recently proposed by Firpo, Fortin, and Lemieux (2009) do not estimate this quantity. Moreover, we show that such parameters are in general only partially identified, and derive straightforward expressions for the identified set. The results are implemented in the context of an empirical application that studies the effect of union membership rates on the distribution of wages.

Item Type: Monograph (Working Paper)
Language: English
Date: September 2009
Uncontrolled Keywords: unconditional partial effect, partial identification, unconditional quantile regression
JEL Classification: C14 - Semiparametric and Nonparametric Methods
C31 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 09 Jul 2014 17:07
Last Modified: 27 Oct 2021 13:36
OAI Identifier: oai:tse-fr.eu:22190
URI: https://publications.ut-capitole.fr/id/eprint/15016
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