L. Davezies, Xavier d'Haultfoeuille, Martin Mugnier
{"title":"Fixed‐effects binary choice models with three or more periods","authors":"L. Davezies, Xavier d'Haultfoeuille, Martin Mugnier","doi":"10.3982/qe1991","DOIUrl":null,"url":null,"abstract":"We consider fixed‐effects binary choice models with a fixed number of periods \n T and regressors without a large support. If the time‐varying unobserved terms are i.i.d. with known distribution \n F, Chamberlain (2010) shows that the common slope parameter is point identified if and only if \n F is logistic. However, he only considers in his proof \n T = 2. We show that the result does not generalize to \n T ≥ 3: the common slope parameter can be identified when \n 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 \n 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).\n","PeriodicalId":46811,"journal":{"name":"Quantitative Economics","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2020-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.3982/qe1991","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 9
Abstract
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 ≥ 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).