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Fourth Order Pseudo Maximum Likelihood Methods

  • Alberto HOLLY

    (Crest)

  • Alain MONFORT

    (Crest)

  • Michael ROCKINGER

    (Crest)

The objective of this paper is to extend the results on Pseudo Maximum Likelihood (PML) theory derived in Gourieroux, Monfort, and Trognon (GMT) (1984) to a situation where the first four conditional moments are specified. Such an extension is relevant in light of pervasive evidence that conditional distributions are non-Gaussian in many economic situations. The key statistical tool here is the quartic exponential family, which allows us to generalize the PML2 and QGPML1 methods proposed in GMT(1984) to PML4 and QGPML2 methods, respectively. An asymptotic theory is developed which shows, in particular, that the QGPML2 method reaches the semi-parametric bound. The key numerical tool that we use is the Gauss-Freud integration scheme which solves a computational problem that has previously been raised in several econometric fields. Simulation exercises show the feasibility and robustness of the methods.

(This abstract was borrowed from another version of this item.)

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Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2011-05.

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Date of creation: 2011
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Handle: RePEc:crs:wpaper:2011-05
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