Identification in additive error models with discrete endogenous variables
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.
|Date of creation:||05 Sep 2004|
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- Mitali Das, 2000. "Instrumental Variables Estimation of Nonparametric Models with Discrete Endogenous Regressors," Econometric Society World Congress 2000 Contributed Papers 1008, Econometric Society.
- Andrew Chesher, 2005.
"Nonparametric Identification under Discrete Variation,"
Econometric Society, vol. 73(5), pages 1525-1550, 09.
- Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers CWP19/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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