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This paper undertakes a Monte Carlo study to compare MLE-based and GMM-based tests regarding the spatial autocorrelation coefficient of the error term in a Cliff and Ord type model. The main finding is that a Wald-test based on GMM estimation as derived by Kelejian and Prucha (2005a) performs...
Persistent link: https://www.econbiz.de/10003202038
This paper analyzes empirically the determinants of the EU countries' attitude towards enlargement during the pre-enlargement phase. The empirical specification is motivated from the perspectives of old and new trade theory. A variety of spatial econometric estimators is employed to assess the...
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This paper undertakes a Monte Carlo study to compare MLE-based and GMM-based tests regarding the spatial autocorrelation coefficient of the error term in a Cliff and Ord type model. The main finding is that a Wald-test based on GMM estimation as derived by Kelejian and Prucha (2005a) performs...
Persistent link: https://www.econbiz.de/10005765991
Many applied researchers have to deal with spatially autocorrelated residuals (SAR). Available tests that identify spatial spillovers as captured by a significant SAR parameter, are either based on maximum likelihood (MLE) or generalized method of moments (GMM) estimates. This paper illustrates...
Persistent link: https://www.econbiz.de/10008565616
This paper undertakes a Monte Carlo study to compare MLE-based and GMM-based tests regarding the spatial autocorrelation coefficient of the error term in a Cliff and Ord type model. The main finding is that a Wald-test based on GMM estimation as derived by Kelejian and Prucha (2005a) performs...
Persistent link: https://www.econbiz.de/10013318167
Persistent link: https://www.econbiz.de/10003443219