Non-Nested Testing in Models Estimated via Generalized Method of Moments

Alastair R. Hall, Denis Pelletier

Research output: Preprint/Working paperWorking paper

Abstract

We analyze the limiting distribution of Rivers and Vuong’s (2002) statistic for choosing between two competing dynamic models based on a comparison of GMM minimands. It is shown that: (i) if both models are misspecified then the statistic has a standard normal distribution under the null hypothesis ofequal fit but the ranking could be determined by the choice of the weighting matrix; (ii) if both models are correctly specified or locally misspecified then the limiting distribution of the test statistic is nonstandard under the null.
Original languageEnglish
Number of pages16
Publication statusPublished - 2010

Publication series

NameEconomics, University of Manchester mimeo

Keywords

  • Generalized Method of Moments, Non-nested Hypothesis Testing, Model Selection

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