Showing 1 - 10 of 6,755
This paper considers estimation and inference in fixed effects (FE) panel regression models with lagged dependent … generalization of the Nickell type bias derived in the literature for the pure dynamic panel data models. It shows that in the … sufficiently small. To deal with the bias and size distortion of FE estimator when NN is large relative to TT, the use of half-panel …
Persistent link: https://www.econbiz.de/10012968220
Quasi ML estimators (MLEs) for panel AR(1) models with additional regressors. We also consider related GMM estimators. All … heteroskedasticity and are extensions and generalizations of the models considered in Kruiniger (2013. Quasi ML estimation of the panel …
Persistent link: https://www.econbiz.de/10012903818
This paper considers estimation and inference in linear panel regression models with lagged dependent variables and … generalizes the well known Nickell bias formula derived for the pure autoregressive dynamic panel data models. It shows that in … N/T is sufficiently small. To deal with the bias and size distortion of FE-TE estimator the use of half-panel Jackknife …
Persistent link: https://www.econbiz.de/10012934791
Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...
Persistent link: https://www.econbiz.de/10011523775
In this paper, we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We approximate the unknown functional coefficients by some basis...
Persistent link: https://www.econbiz.de/10013028566
This paper proposes new jackknife IV estimators that are robust to the effectsof many weak instruments and error heteroskedasticity in a cluster sample settingwith cluster-specific effects and possibly many included exogenous regressors. Theestimators that we propose are designed to properly...
Persistent link: https://www.econbiz.de/10013233800
This paper introduces a factor-augmented forecasting regression model in the presence of threshold effects. We consider least squares estimation of the regression parameters, and establish asymptotic theories for estimators of both slope coefficients and the threshold parameter. Prediction...
Persistent link: https://www.econbiz.de/10012849183
This paper studies estimation and inference for linear quantile regression models with generated regressors. We suggest a practical two-step estimation procedure, where the generated regressors are computed in the first step. The asymptotic properties of the two-step estimator, namely,...
Persistent link: https://www.econbiz.de/10012504016
This paper studies estimation and inference for linear quantile regression models with generated regressors. We suggest a practical two-step estimation procedure, where the generated regressors are computed in the first step. The asymptotic properties of the two-step estimator, namely,...
Persistent link: https://www.econbiz.de/10012932786
We introduce a new regression diagnostic, tailored to time-series and panel-data regressions, which characterizes the …
Persistent link: https://www.econbiz.de/10015084320