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We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discretechoice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...
Persistent link: https://www.econbiz.de/10009521645
This paper studies a simple dynamic panel linear regression model with interactive fixed effects in which the variable … (LS-MD) estimation method. -- dynamic panel ; interactive fixed effects ; measurement error ; LS-MD estimation …
Persistent link: https://www.econbiz.de/10009419307
Fixed effects estimators of nonlinear panel data models can be severely biased because of the well-known incidental … expansions to conditional maximum likelihood estimators with concave objective functions in parameters for panel models with …
Persistent link: https://www.econbiz.de/10010382120
We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discrete choice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...
Persistent link: https://www.econbiz.de/10010345243
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data …; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the … (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to …
Persistent link: https://www.econbiz.de/10011524832
Fixed effects estimators of nonlinear panel data models can be severely biased because of the incidental parameter … expansions to conditional maximum likelihood estimators with concave objective functions in parameters for panel models with …
Persistent link: https://www.econbiz.de/10010501255
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data …; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the … (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to …
Persistent link: https://www.econbiz.de/10010494997
We introduce a class of quantile regression estimators for short panels. Our framework covers static and dynamic autoregressive models, models with general predetermined regressors, and models with multiple individual effects. We use quantile regression as a flexible tool to model the...
Persistent link: https://www.econbiz.de/10011295600
In this paper we study the least squares (LS) estimator in a linear panel regression model with unknown number of …
Persistent link: https://www.econbiz.de/10010392909
In this paper we study the least sqares (LS) estimator in a linear panel regression model with interactive fixed …
Persistent link: https://www.econbiz.de/10010188247