Estimation and inference of censored panel data model with time factors
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.
time factorsrandom correlated modelmedian regressioncensored model
NETL
NSTL
万方数据
