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Identification and estimation of heteroscedastic binary choice models with endogenous dummy regressors
Mu, Beili; Zhang, Zhengyu
刊名ECONOMETRICS JOURNAL
2018-06
卷号21期号:2页码:218-246
关键词Binary choice models Endogenous dummy variable Heteroscedasticity Partially linear varying coefficient model
ISSN号1368-4221
DOI10.1111/ectj.12109
英文摘要In this paper, we consider the semiparametric identification and estimation of a heteroscedastic binary choice model with endogenous dummy regressors and no parametric restriction on the distribution of the error term. Our approach addresses various drawbacks associated with previous estimators proposed for this model. It allows for: general multiplicative heteroscedasticity in both selection and outcome equations; a nonparametric selection mechanism; and multiple discrete endogenous regressors. The resulting three-stage estimator is shown to be asymptotically normal, with a convergence rate that can be arbitrarily close to n-1/2 if certain smoothness assumptions are satisfied. Simulation results show that our estimator performs reasonably well in finite samples. Our approach is then used to study the intergenerational transmission of smoking habits in British households.
WOS研究方向Business & Economics ; Mathematics ; Mathematical Methods In Social Sciences
语种英语
出版者WILEY
WOS记录号WOS:000436805900006
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/605]  
专题上海财经大学
通讯作者Mu, Beili
作者单位Shanghai Univ Finance & Econ, Sch Econ, 777 Guoding Rd, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Mu, Beili,Zhang, Zhengyu. Identification and estimation of heteroscedastic binary choice models with endogenous dummy regressors[J]. ECONOMETRICS JOURNAL,2018,21(2):218-246.
APA Mu, Beili,&Zhang, Zhengyu.(2018).Identification and estimation of heteroscedastic binary choice models with endogenous dummy regressors.ECONOMETRICS JOURNAL,21(2),218-246.
MLA Mu, Beili,et al."Identification and estimation of heteroscedastic binary choice models with endogenous dummy regressors".ECONOMETRICS JOURNAL 21.2(2018):218-246.
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