Double-Length Regression tests for testing functional forms and spatial error dependence
In this paper we derive test statistics based on Double-Length Regressions (DLRs) for testing functional forms and spatial error dependence. These DLR tests are computationally simple. Their Monte Carlo performance is similar to that of the Hessian-based Lagrangian Multiplier tests.
Year of publication: |
2008
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Authors: | Le, Canh Quang ; Li, Dong |
Published in: |
Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 101.2008, 3, p. 253-257
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Publisher: |
Elsevier |
Keywords: | Double-Length Regression Spatial error dependence Box-Cox |
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