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This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially … rejected in favor of the interactive effects specification. -- quantile regression ; panel data ; interactive effects …
Persistent link: https://www.econbiz.de/10009581319
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/10013030887
(DOLS) estimators in cointegrated regression models in panel data. We show that the OLS, FM, and DOLS estimators are all …
Persistent link: https://www.econbiz.de/10014149909
This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially …
Persistent link: https://www.econbiz.de/10013099775
, organized in a panel data structure. In this paper, we investigate the consequences of applying such methodologies when the data …
Persistent link: https://www.econbiz.de/10011579472
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis …
Persistent link: https://www.econbiz.de/10014191157
variation approach. We explore the feasibility of this approach in a different context, using large-scale panel data from …
Persistent link: https://www.econbiz.de/10012264228
An interaction in a fixed effects (FE) regression is usually specified by demeaning the product term. However, this strategy does not yield a genuine within estimator. Instead, an estimator is produced that reflects unit-level differences of interacted variables whose moderators vary within...
Persistent link: https://www.econbiz.de/10011880691
-effect models for panel data. We use an asymptotic embedding where the noise shrinks with the sample size to calculate the leading …
Persistent link: https://www.econbiz.de/10012792731
-effect models for panel data. We use an asymptotic embedding where the noise shrinks with the sample size to calculate the leading …
Persistent link: https://www.econbiz.de/10012063831