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It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation in a SUR model is not appropriate for testing cross-sectional dependence in panel data models when the number of cross-sectional units (n) is large and the number of time periods (T) is small. In...
Persistent link: https://www.econbiz.de/10010598819
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.
Persistent link: https://www.econbiz.de/10011269088
This paper proposes a test for sphericity in a fixed effects panel data model. It uses the Random Matrix Theory based approach of Ledoit and Wolf (2002) to test for sphericity of the error terms in a fixed effects panel model with a large number of cross-sectional units and time series...
Persistent link: https://www.econbiz.de/10005056604
This paper develops a simple test for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We do not estimate the common factor but mop-up its effect by employing the same method as the one proposed in...
Persistent link: https://www.econbiz.de/10005675541
This paper develops a simple test for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We do not estimate the common factor but mop-up its effect by employing the same method as the one proposed in...
Persistent link: https://www.econbiz.de/10005748661
Unconditional quantile treatment effects are difficult to estimate in the presence of fixed effects. Panel data are frequently used because fixed effects or differences are necessary to identify the parameters of interest. The inclusion of fixed effects or differencing of data, however,...
Persistent link: https://www.econbiz.de/10008828515
This paper proposes bias-adjusted normal approximation versions of Lagrange multiplier (NLM) test of error cross section independence of Breusch and Pagan (1980) in the case of panel models with strictly exogenous regressors and normal errors. The exact mean and variance of the Lagrange...
Persistent link: https://www.econbiz.de/10005113778
In an influential paper, Pesaran [Pesaran, M.H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 74, 967–1012] proposes a very simple estimator of factor-augmented regressions that has since then become very popular. In this note...
Persistent link: https://www.econbiz.de/10011041647
This paper, in using cross-section pooled logit, probit, and fixed-effects logit models, empirically explores the main factors affecting the rescheduling of contractual debt-service payments by heavily indebted poor countries (HICPs) in the late 1980s and the 1990s. The results seem to suggest...
Persistent link: https://www.econbiz.de/10005808627
This paper considers estimation and inference in panel vector autoregressions (PVARs) with fixed effects when the time dimension is finite and the cross-sectional dimension is large. A Maximum Likelihood (ML) estimator based on a transformed likelihood function is proposed and shown to be...
Persistent link: https://www.econbiz.de/10005537759