The asymptotic t -test for the long-run average in a heterogeneous nonstationary panel model is derived. The asymptotics of the Least Squares Dummy Variable (LSDV) and of the Pooled-OLS (POLS) estimators for the slope parameter are studied under various circumstances (serial correlation, strong cross-sectional dependence in the errors and in the regressors and mixed stationary/nonstationary errors) and a modified estimator of the asymptotic variance is derived. The asymptotic variance is computed up to a simple transformation of the residual and no nuisance parameters need to be estimated. The resulting t-statistics are shown to have a standard normal limiting distribution. Asymptotic tests based on the standardized version of the t-statis...
This paper proposes a nonparametric test for common trends in semiparametric panel data models with ...
This paper proposes a new class of estimators of the long-run average relationship when there is no ...
We give several definitions of residual autocorrelations and derive their joint asymptotic distribut...
The asymptotic t -test for the long-run average in a heterogeneous nonstationary panel model is der...
Panel estimators can provide consistent measures of a long-run average parameter even if the individ...
The econometric theory for panel data regressions was largely de-veloped for survey data where N the...
Semiparametric panel data modelling and statistical inference with fractional stochastic trends, non...
This paper studies testing for a unit root for large n and T panels in which the cross-sectional uni...
This thesis consists of five chapters which focus on panel data theory. Four of them analyze explici...
In the first chapter, the limiting distributions for ordinary least squares, fixed effects, first di...
The asymptotic local power of least squares based fixed-T panel unit root tests allowing for a struc...
UnrestrictedThis dissertation contributes to the econometrics of panel data models and their applica...
This dissertation investigates an asymptotic theory of cointegration in panel data covering spurious...
In this paper we provide a new Central Limit Theorem for estimators of the slope papers in large dyn...
This paper examines the asymptotic properties of the popular within, GLS estimators and the Hausman ...
This paper proposes a nonparametric test for common trends in semiparametric panel data models with ...
This paper proposes a new class of estimators of the long-run average relationship when there is no ...
We give several definitions of residual autocorrelations and derive their joint asymptotic distribut...
The asymptotic t -test for the long-run average in a heterogeneous nonstationary panel model is der...
Panel estimators can provide consistent measures of a long-run average parameter even if the individ...
The econometric theory for panel data regressions was largely de-veloped for survey data where N the...
Semiparametric panel data modelling and statistical inference with fractional stochastic trends, non...
This paper studies testing for a unit root for large n and T panels in which the cross-sectional uni...
This thesis consists of five chapters which focus on panel data theory. Four of them analyze explici...
In the first chapter, the limiting distributions for ordinary least squares, fixed effects, first di...
The asymptotic local power of least squares based fixed-T panel unit root tests allowing for a struc...
UnrestrictedThis dissertation contributes to the econometrics of panel data models and their applica...
This dissertation investigates an asymptotic theory of cointegration in panel data covering spurious...
In this paper we provide a new Central Limit Theorem for estimators of the slope papers in large dyn...
This paper examines the asymptotic properties of the popular within, GLS estimators and the Hausman ...
This paper proposes a nonparametric test for common trends in semiparametric panel data models with ...
This paper proposes a new class of estimators of the long-run average relationship when there is no ...
We give several definitions of residual autocorrelations and derive their joint asymptotic distribut...