This paper considers nonparametric estimation of autoregressive panel data models with fixed effects. A within-group type series estimator is developed and its conver-gence rate and asymptotic normality are derived. It is found that the series estimator is asymptotically biased and the bias could reduce the mean-square convergence rate compared with the cross-section cases. A bias corrected nonparametric estimator is developed. 1
This paper develops new estimation and inference procedures for dynamic panel data models with fixed...
This paper is concerned with the estimation of the autoregressive parameter of dynamic panel data mo...
This paper is concerned with the estimation of the autoregressive parameter of dynamic panel data mo...
This paper considers the problem of estimating a partially linear semiparametric fixed effects panel...
In this paper we consider the problem of estimating nonparametric panel data models with fixed effec...
This paper introduces two easy to calculate estimators with desirable properties for theautoregressi...
We derive bias-corrected least-squares estimators of panel vector autoregressions with fixed effects...
We derive bias-corrected least-squares estimators of panel vector autoregressions with fixed effects...
We derive a bias-corrected least-squares estimator for panel vector autoregressions with fixed effec...
textabstractThis paper introduces two easy to calculate estimators with desirable properties for the...
It is well-known that maximum likelihood (ML) estimation of the autoregres-sive parameter of a dynam...
A computationally simple bias correction for linear dynamic panel data models is proposed and its as...
The fixed effects estimator of panel models can be severely biased because of well-known incidental ...
A computationally simple bias correction for linear dynamic panel data models is proposed and its as...
This article introduces the appropriate within estimators for the most frequently used three-dimensi...
This paper develops new estimation and inference procedures for dynamic panel data models with fixed...
This paper is concerned with the estimation of the autoregressive parameter of dynamic panel data mo...
This paper is concerned with the estimation of the autoregressive parameter of dynamic panel data mo...
This paper considers the problem of estimating a partially linear semiparametric fixed effects panel...
In this paper we consider the problem of estimating nonparametric panel data models with fixed effec...
This paper introduces two easy to calculate estimators with desirable properties for theautoregressi...
We derive bias-corrected least-squares estimators of panel vector autoregressions with fixed effects...
We derive bias-corrected least-squares estimators of panel vector autoregressions with fixed effects...
We derive a bias-corrected least-squares estimator for panel vector autoregressions with fixed effec...
textabstractThis paper introduces two easy to calculate estimators with desirable properties for the...
It is well-known that maximum likelihood (ML) estimation of the autoregres-sive parameter of a dynam...
A computationally simple bias correction for linear dynamic panel data models is proposed and its as...
The fixed effects estimator of panel models can be severely biased because of well-known incidental ...
A computationally simple bias correction for linear dynamic panel data models is proposed and its as...
This article introduces the appropriate within estimators for the most frequently used three-dimensi...
This paper develops new estimation and inference procedures for dynamic panel data models with fixed...
This paper is concerned with the estimation of the autoregressive parameter of dynamic panel data mo...
This paper is concerned with the estimation of the autoregressive parameter of dynamic panel data mo...