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This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and … the time series dimension of the panel is large. We present an application to the evaluation of Time-of-Use pricing using …
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communally by all individuals in the sample. To capture such behavioral features, we employ a functional coefficient panel model … in which certain communal covariates may jointly influence panel interactions by means of their impact on the model … coefficients. Two classes of estimation procedures are proposed, one based on station averaged data the other on the full panel …
Persistent link: https://www.econbiz.de/10012863610
This online appendix is structured as follows. Section S.1 contains some auxiliary lemmas and proofs for Section 4. Section S.2 develop supporting theoretical results for Section 5. Section S.3 reports additional simulation results. Some tables appear at the end
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This paper develops cluster robust inference methods for panel quantile regression (QR) models with individual fixed … effects, allowing temporal correlation within each individual. The conventional QR standard errors can seriously underestimate …
Persistent link: https://www.econbiz.de/10012863725
corrects for spatially correlated errors in static panel data models, by introducing a spatial lag and a one-period lag of the … the dynamic panel data model GMM estimators of Arellano and Bond (1991) and Blundell and Bond (1998) and supplementing the … dynamic panel data estimators. The performance of these spatial dynamic panel data estimators is investigated by means of …
Persistent link: https://www.econbiz.de/10014200234
the context of panel data with a fixed number of time periods. The identification assumption is based on the correlated …
Persistent link: https://www.econbiz.de/10014151863
This paper considers models with latent/discrete endogenous regressors and presents a simulation-based two-step (STS) estimator. The endogeneity is corrected by adopting a simulation-based control function approach. The first step consists of simulating of the residuals of the reduced-form...
Persistent link: https://www.econbiz.de/10013126681