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.
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