A Mean Likelihood Ratio Speci cation Test

نویسنده

  • Isaiah Andrews
چکیده

This paper considers the problem of speci cation testing in general parametric models and shows that for a wide class of models the hypothesis of correct speci cation is equivalent to a continuum of moment equalities. Using these moment equalities we construct a class of speci cation tests that have correct asymptotic size in general parametric models, including stationary time series models, and that are consistent when the above equivalence holds. We show that the proposed tests have power against √ T -local alternatives and compare them to previously proposed consistent tests of distributional speci cation, both from a theoretical perspective and in simulation. JEL Classi cation: C52

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تاریخ انتشار 2012