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Ordered Discrete-Choice Selection Models and Local Average Treatment Effect Assumptions: Equivalence, Nonequivalence, and Representation Results

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Author Info
Edward Vytlacil (Stanford University)

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Abstract

This note shows that the local average treatment effect (LATE) assumptions of Angrist and Imbens are weaker than imposing an ordered, discrete-choice selection model if one imposes the standard assumption of constant thresholds in the latter. However, the note extends results of Vytlacil to show that the LATE assumptions are equivalent to an ordered, discrete-choice selection model if one allows for random thresholds in the latter. A nonparametric representation result for ordered, discrete-choice models is produced as a by-product of these results. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

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File URL: http://www.mitpressjournals.org/doi/pdfplus/10.1162/rest.88.3.578
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Publisher Info
Article provided by MIT Press in its journal The Review of Economics and Statistics.

Volume (Year): 88 (2006)
Issue (Month): 3 (08)
Pages: 578-581
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Handle: RePEc:tpr:restat:v:88:y:2006:i:3:p:578-581

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  1. Flavio Cunha & James J. Heckman & Salvador Navarro, 2007. "The Identification and Economic Content of Ordered Choice Models with Stochastic Thresholds," IZA Discussion Papers 2940, Institute for the Study of Labor (IZA). [Downloadable!]
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  2. Flavio Cunha & James J. Heckman & Salvador Navarro, 2007. "The Identification & Economic Content of Ordered Choice Models with Stochastic Thresholds," Working Papers 200726, Geary Institute, University College Dublin. [Downloadable!]
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