Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19022
Title: Small sample properties of maximum likelihood versus generalized method of moments based tests for spatially autocorrelated errors
Keywords: C12
R10
C21
ddc:330
spatial autocorrelation
hypothesis tests
Monte Carlo studies
maximum likelihood estimation
generalized method of moments
Maximum-Likelihood-Methode
Momentenmethode
Autokorrelation
Statistischer Test
Theorie
Issue Date: 16-Oct-2013
Publisher: 
Description: 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 surprisingly well. Our Monte Carlo study indicates that the GMM Wald-test is correctly sized even in small samples and exhibits the same power as their MLE-based counterparts. Since GMM estimates are much easier to calculate, the GMM Wald-test is recommended for applied researches.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/19022
Other Identifiers: http://hdl.handle.net/10419/19022
ppn:503677639
Appears in Collections:EconStor

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