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Fixed-effects binary choice models with three or more periods
by
Davezies, Laurent
, D'Haultfœuille, Xavier
, Mugnier, Martin
in
Binary choice models
/ Budget deficits
/ C14
/ C23
/ C25
/ conditional moment restrictions
/ conditionalmoment restrictions
/ Decision making models
/ Econometrics
/ Economic growth
/ Efficiency
/ Identification
/ Longitudinal studies
/ panel data
/ point identification
/ Random variables
/ Restrictions
2023
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Fixed-effects binary choice models with three or more periods
by
Davezies, Laurent
, D'Haultfœuille, Xavier
, Mugnier, Martin
in
Binary choice models
/ Budget deficits
/ C14
/ C23
/ C25
/ conditional moment restrictions
/ conditionalmoment restrictions
/ Decision making models
/ Econometrics
/ Economic growth
/ Efficiency
/ Identification
/ Longitudinal studies
/ panel data
/ point identification
/ Random variables
/ Restrictions
2023
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Do you wish to request the book?
Fixed-effects binary choice models with three or more periods
by
Davezies, Laurent
, D'Haultfœuille, Xavier
, Mugnier, Martin
in
Binary choice models
/ Budget deficits
/ C14
/ C23
/ C25
/ conditional moment restrictions
/ conditionalmoment restrictions
/ Decision making models
/ Econometrics
/ Economic growth
/ Efficiency
/ Identification
/ Longitudinal studies
/ panel data
/ point identification
/ Random variables
/ Restrictions
2023
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Fixed-effects binary choice models with three or more periods
Journal Article
Fixed-effects binary choice models with three or more periods
2023
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Overview
We consider fixed-effects binary choice models with a fixed number of periods T and regressors without a large support. If the time-varying unobserved terms are i.i.d. with known distribution F, Chamberlain (2010) shows that the common slope parameter is point identified if and only if F is logistic. However, he only considers in his proof T = 2. We show that the result does not generalize to T Ï 3: the common slope parameter can be identified when F belongs to a family including the logit distribution. Identification is based on a conditional moment restriction. Under restrictions on the covariates, these moment conditions lead to point identification of relative effects. If T = 3 and mild conditions hold, GMM estimators based on these conditional moment restrictions reach the semiparametric efficiency bound. Finally, we illustrate our method by revisiting Brender and Drazen (2008).
Publisher
The Econometric Society,John Wiley & Sons, Inc
Subject
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