コバヤシ ゲンヤ
KOBAYASHI GENYA
小林 弦矢 所属 明治大学 商学部 職種 専任教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2017/03 |
形態種別 | 学術雑誌 |
査読 | 査読あり |
標題 | Bayesian Endogenous Tobit Quantile Regression |
執筆形態 | 単著 |
掲載誌名 | BAYESIAN ANALYSIS |
掲載区分 | 国外 |
出版社・発行元 | INT SOC BAYESIAN ANALYSIS |
巻・号・頁 | 12(1),pp.161-191 |
著者・共著者 | Genya Kobayashi |
概要 | This study proposes p-th Tobit quantile regression models with endogenous variables. In the first stage regression of the endogenous variable on the exogenous variables, the assumption that the alpha-th quantile of the error term is zero is introduced. Then, the residual of this regression model is included in the p-th quantile regression model in such a way that the p-th conditional quantile of the new error term is zero. The error distribution of the first stage regression is modelled around the zero alpha-th quantile assumption by using parametric and semiparametric approaches. Since the value of alpha is a priori unknown, it is treated as an additional parameter and is estimated from the data. The proposed models are then demonstrated by using simulated data and real data on the labour supply of married women. |
DOI | 10.1214/16-BA996 |
ISSN | 1931-6690 |