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Identification in additive error models with discrete endogenous variables

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Author Info
Andrew Chesher () (Institute for Fiscal Studies and University College London)

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Abstract

In additive error models with a discrete endogenous variable identification cannot be achieved under a marginal covariation condition when the support of instruments is sparse relative to the support of the endogenous variable. An iterated covariation condition with a weak montonicity restriction is shown to have set identifying power.

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File URL: http://cemmap.ifs.org.uk/wps/cwp0411.pdf
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP11/04.

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Length: 7 pp.
Date of creation: Sep 2004
Date of revision:
Handle: RePEc:ifs:cemmap:11/04

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  1. Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers CWP19/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
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  2. Mitali Das, 2000. "Instrumental Variables Estimation of Nonparametric Models with Discrete Endogenous Regressors," Econometric Society World Congress 2000 Contributed Papers 1008, Econometric Society. [Downloadable!]
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This page was last updated on 2009-11-27.


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