<title>Abstract</title> This paper considers the estimation of a linear regression involving the spatial autoregressive (SAR) error term which is nearly nonstationary. The asymptotics properties of the ordinary least squares (OLS), true generalized least squares (GLS) and feasible generalized least squares...

This paper considers testing for cross-sectional dependence in a panel factor model. Based on the model considered by Bai (Econometrica 71: 135–171, <CitationRef CitationID="CR3">2003</CitationRef>), we investigate the use of a simple <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$F$$</EquationSource> </InlineEquation> test for testing for cross-sectional dependence when the factor may be known or unknown. The...</equationsource></inlineequation></citationref>

Building upon the work of Chen et al. (2010), this paper proposes a test for sphericity of the variance-covariance matrix in a …xed e¤ects panel data regression model without the normality assumption on the disturbances.

This paper extends Pesaran's (2006) work on common correlated effects (CCE) estimators for large heterogeneous panels with a general multifactor error structure by allowing for unknown common structural breaks. Structural breaks due to new policy implementation or major technological shocks, are...

This paper studies the estimation of change point in panel models. We extend Bai (2010) and Feng, Kao and Lazarová (2009) to the case of stationary or nonstationary regressors and error term, and whether the change point is present or not. We prove consistency and derive the asymptotic...

This paper proposes the copula-based tests for testing cross-sectional independence of panel models.

In this paper, we apply the asymptotic theory of panel cointegration developed by Kao and Chiang (1998) to Coe and Helpman's (1995) international R&D spillovers regression. The OLS with bias-correction, the fully-modified (FM) and the dynamic OLS (DOLS) estimations produce different predictions...

This paper processes copula-based tests for testing cross-sectional independence of panel models.

This paper develops a novel asymptotic theory for panel models with common shocks. We assume that contemporaneous correlation can be generated by both the presence of common regressors among units and weak spatial dependence among the error terms. Several characteristics of the panel are...