This article describes a new Stata routine, xtcsd, to test for the presence of cross-sectional dependence in panels with many cross-sectional units and few time-series observations. The command executes three different testing procedures—namely, Friedman’s (Journal of the American Statistical Association 32: 675–701) (FR) test statistic, the statistic proposed by Frees (Journal of Econometrics 69: 393–414), and the cross-sectional dependence (CD) test of Pesaran (General diagnostic tests for cross-section dependence in panels [University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics, Paper No. 0435]). We illustrate the command with an empirical example
This paper proposes simple tests of error cross section dependence which are applicable to a variety...
This paper considers the problem of testing cross-sectional correlation in large panel data models w...
Abstract: This paper proposes a unit root test for panel data with cross sectional dependence. The p...
This article describes a new Stata routine, xtcsd, to test for the presence of cross-sectional depen...
I present a new Stata program, xtscc, that estimates pooled ordinary least-squares/weighted least-sq...
This paper proposes a new test for cross-sectional dependence in \u85xed e¤ects panel data models. I...
This dissertation consists of three essays on testing for cross-sectional dependence and estimation ...
The central focus in most recent studies on panel data is on the issue of cross sectional dependence...
The increasing availability of new datasets where the time-series dimension and the cross-section di...
This paper analyzes, through Monte Carlo experiments, the robustness of several panel unit root test...
This article provides an overview of the existing literature on panel data models with error cross-s...
This article considers the problem of testing for cross-section independence in limited dependent va...
Several panel unit root tests that account for cross section dependence using a com-mon factor struc...
This paper considers testing the hypothesis that errors in a panel data model are weakly cross secti...
This thesis makes a contribution the econometrics of panel data with cross-section dependence (CSD)....
This paper proposes simple tests of error cross section dependence which are applicable to a variety...
This paper considers the problem of testing cross-sectional correlation in large panel data models w...
Abstract: This paper proposes a unit root test for panel data with cross sectional dependence. The p...
This article describes a new Stata routine, xtcsd, to test for the presence of cross-sectional depen...
I present a new Stata program, xtscc, that estimates pooled ordinary least-squares/weighted least-sq...
This paper proposes a new test for cross-sectional dependence in \u85xed e¤ects panel data models. I...
This dissertation consists of three essays on testing for cross-sectional dependence and estimation ...
The central focus in most recent studies on panel data is on the issue of cross sectional dependence...
The increasing availability of new datasets where the time-series dimension and the cross-section di...
This paper analyzes, through Monte Carlo experiments, the robustness of several panel unit root test...
This article provides an overview of the existing literature on panel data models with error cross-s...
This article considers the problem of testing for cross-section independence in limited dependent va...
Several panel unit root tests that account for cross section dependence using a com-mon factor struc...
This paper considers testing the hypothesis that errors in a panel data model are weakly cross secti...
This thesis makes a contribution the econometrics of panel data with cross-section dependence (CSD)....
This paper proposes simple tests of error cross section dependence which are applicable to a variety...
This paper considers the problem of testing cross-sectional correlation in large panel data models w...
Abstract: This paper proposes a unit root test for panel data with cross sectional dependence. The p...