Theory and methods of panel data models with interactive effects
نویسندگان
چکیده
منابع مشابه
Nonlinear Panel Models with Interactive Effects∗
This paper considers estimation and inference on semiparametric nonlinear panel single index models with predetermined explanatory variables and interactive individual and time effects. These include static and dynamic probit, logit, and Poisson models. Fixed effects conditional maximum likelihood estimation is challenging because the log likelihood function is not concave in the individual and...
متن کاملNonparametric Dynamic Panel Data Models with Interactive Fixed Effects: Sieve Estimation and Specification Testing
In this paper we analyze nonparametric dynamic panel data models with interactive fixed effects, where the predetermined regressors enter the models nonparametrically and the common factors enter the models linearly but with individual specific factor loadings. We consider the issues of estimation and specification testing when both the cross-sectional dimension and the time dimension are l...
متن کاملDynamic Linear Panel Regression Models with Interactive Fixed Effects
In the last step we used Assumption ID(ii). Because E [ Tr (e′e) ∣∣∣λ0, f , w] is independent of β, λ, f , we find minimizing Q(β, λ, f) is equivalent to minimizing Q∗(β, λ, f). We decompose ‡Department of Economics and USC Dornsife INET, University of Southern California, Los Angeles, CA 90089-0253. Email: [email protected]. Department of Economics, Yonsei University, Seoul, Korea. §Department of ...
متن کاملTransformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with Interactive Effects∗
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of the transformed likelihood approach, whilst at the same time allows for observed factors (fixed or ran...
متن کاملdata mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2014
ISSN: 0090-5364
DOI: 10.1214/13-aos1183