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含时间因子的删失面板模型的估计与推断
Estimation and inference of censored panel data model with time factors

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忻恺 1   周亚虹 2 *  
文摘 本文研究了随机相关下的含时间因子的删失面板数据的估计与推断问题.该模型允许了不可观测的个体效应对潜在结果变量有着时变的影响.在假设误差项是对称且相互独立的条件下,给出了模型中的斜率参数与时间因子的识别与估计.文中给出的估计量是√N一致且渐近正态的.此外,文中提出的秩得分检验统计量无需对密度函数进行估计,在相对小的样本下也有着较好的表现.蒙特卡罗模拟和关于女性劳动时间的实证应用的结果验证了估计量的可行性.
其他语种文摘 This paper develops estimation and inference of censored panel data model with time factors under random correlated models. The model includes an interactive term to allow the unobserved individual characteristics having a time-varying effect. By assuming both error terms symmetric and independent with each other, the common slope coefficients and time factors can be identified. The proposed estimators are root-N consistent and asymptotically normal. In addition, we come up with a quantile rank score test statistics. By avoiding to estimate density functions, the test statistics perform well in relatively small samples. Simulations and an application to women's working hours are carried out to prove the feasibility of our methods.
来源 系统工程理论与实践 ,2024,44(9):3040-3048 【核心库】
DOI 10.12011/SETP2023-0885
关键词 时间因子 ; 随机相关模型 ; 中位数回归 ; 删失模型
地址

1. 上海大学经济学院, 上海, 200444  

2. 上海财经大学经济学院, 上海, 200433

语种 中文
文献类型 研究性论文
ISSN 1000-6788
学科 数学
基金 国家自然科学基金 ;  上海大学青年英才启航计划
文献收藏号 CSCD:7813944

参考文献 共 18 共1页

1.  Bai J. Panel data models with interactive fixed effects. Econometrica,2009,77(4):1229-1279 CSCD被引 26    
2.  Chay K Y. Estimation of semiparametric censored regression models: An application to changes in black-white earnings inequality during the 1960s. Journal of Human Resources,1998,33(1):4-38 CSCD被引 1    
3.  Andersen E B. Asymptotic properties of conditional maximum-likelihood estimators. Journal of the Royal Statistical Society Series B: Statistical Methodology,1970,32(2):283-301 CSCD被引 1    
4.  Chamberlain G. Analysis of covariance with qualitative data. The Review of Economic Studies,1980,47(1):225-238 CSCD被引 2    
5.  Manski C F. Semiparametric analysis of random effects linear models from binary panel data. Econometrica: Journal of the Econometric Society,1987:357-362 CSCD被引 1    
6.  Newey W K. The asymptotic variance of semiparametric estimators. Econometrica: Journal of the Econometric Society,1994,62(6):1349-1382 CSCD被引 2    
7.  Mundlak Y. On the pooling of time series and cross section data. Econometrica: Journal of the Econometric Society,1978,46(1):69-85 CSCD被引 15    
8.  Chamberlain G. Panel data. Handbook of Econometrics,1984,2:1247-1318 CSCD被引 1    
9.  Holtz-Eakin D. Estimating vector autoregressions with panel data. Econometrica: Journal of the Econometric Society,1988,56(6):1371-1395 CSCD被引 38    
10.  Xue S. Binary choice model with interactive effects. Economic Modelling,2018,70:338-350 CSCD被引 1    
11.  Xin K. Time-varying individual effects in a panel data probit model with an application to female labor force participation. Economic Modelling,2021,95:181-191 CSCD被引 1    
12.  Powell J L. Censored regression quantiles. Journal of Econometrics,1986,32(1):143-155 CSCD被引 21    
13.  He X. A general Bahadur representation of M-estimators and its application to linear regression with nonstochastic designs. The Annals of Statistics,1996,24(6):2608-2630 CSCD被引 12    
14.  Wang H J. Inference for censored quantile regression models in longitudinal studies. The Annals of Statistics,2009,37(2):756-781 CSCD被引 6    
15.  Zhao L C. Linear hypothesis testing in censored regression models. Statistica Sinica,2004,14:333-347 CSCD被引 6    
16.  周亚虹. 数字金融的发展提高了电商助农的效率吗?--基于电子商务进农村综合示范项目的分析. 数量经济技术经济研究,2023,40(7):70-89 CSCD被引 4    
17.  Eckstein Z. Dynamic female labor supply. Econometrica,2011,79(6):1675-1726 CSCD被引 1    
18.  Fernandez R. Cultural change as learning: The evolution of female labor force participation over a century. American Economic Review,2013,103(1):472-500 CSCD被引 1    
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