Testing panel data regression models with spatial error correlation.
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Publication:1410567
DOI10.1016/S0304-4076(03)00120-9zbMath1134.62390OpenAlexW2082108991MaRDI QIDQ1410567
Won Koh, Seuck Heun Song, Badi H. Baltagi
Publication date: 14 October 2003
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(03)00120-9
Applications of statistics to economics (62P20) Hypothesis testing in multivariate analysis (62H15) Monte Carlo methods (65C05)
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Cites Work
- Unnamed Item
- Unnamed Item
- GMM estimation with cross sectional dependence
- A note on spectral decomposition and maximum likelihood estimation in ANOVA models with balanced data
- Monte Carlo results on several new and existing tests for the error component model
- CRITICAL VALUE APPROXIMATIONS FOR TESTS OF LINEAR REGRESSION DISTURBANCES
- Testing the Error Components Model with Non-Normal Disturbances
- The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics
- Likelihood Ratio Test, Wald Test, and Kuhn-Tucker Test in Linear Models with Inequality Constraints on the Regression Parameters
- Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
- Useful matrix transformations for panel data analysis: a survey
- Alternative Tests of the Error Components Model
- Growth Empirics: A Panel Data Approach
- Maximum-likelihood estimation for the mixed analysis of variance model
- Computing Maximum Likelihood Estimates for the Mixed A. O. V. Model Using the W Transformation
- Rao's score test in spatial econometrics
- On the asymptotic distribution of the Moran \(I\) test stastistic with applications