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Identification in additive error models with discrete endogenous variables

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  • Andrew Chesher

    ()
    (Institute for Fiscal Studies and University College London)

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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Bibliographic Info

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.
  2. Mitali Das, 2000. "Instrumental Variables Estimation of Nonparametric Models with Discrete Endogenous Regressors," Econometric Society World Congress 2000 Contributed Papers 1008, Econometric Society.
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