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Persistent link: https://www.econbiz.de/10011945827
This paper evaluates bootstrap inference methods for quantile regression panel data models. We propose to construct …
Persistent link: https://www.econbiz.de/10011410652
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Additive Models for Location, Scale, and Shape (GAMLSS) that we generalize for panel count data. To correctly observe the … because it removes residual heterogeneity that was incorrectly captured by previous models based on GAM and GAMLSS theory. We …
Persistent link: https://www.econbiz.de/10012293286
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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
We consider estimation and inference in panel data models with additive unobserved individual specific heterogeneity in … parameters in the canonical linear fixed effects model and over coefficients on a fixed vector of endogenous variables in panel …
Persistent link: https://www.econbiz.de/10010459263
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
Persistent link: https://www.econbiz.de/10012625859
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