Efficiency bounds for moment condition models with mixed identification strength

dc.contributor.authorDovonon, P.
dc.contributor.authorAtchadé, Y.F.
dc.contributor.authorDoko Tchatoka, F.
dc.date.issued2024
dc.description.abstractMoment condition models with mixed identification strength are models that are point identified but with estimating moment functions that are allowed to drift to 0 uniformly over the parameter space. Even though identification fails in the limit, depending on how slow the moment functions vanish, consistent estimation is possible. Existing estimators such as the generalized method of moment (GMM) estimator exhibit a pattern of nonstandard or even heterogeneous rate of convergence that materializes by some parameter directions being estimated at a slower rate than others. This paper derives asymptotic semiparametric efficiency bounds for regular estimators of parameters of these models. We show that GMM estimators are regular and that the so-called two-step GMM estimator – using the inverse of estimating function’s variance as weighting matrix – is semiparametrically efficient as it reaches the minimum variance attainable by regular estimators. This estimator is also asymptotically minimax efficient with respect to a large family of loss functions. Monte Carlo simulations are provided that confirm these results.
dc.description.statementofresponsibilityProsper Dovonon, Yves F. Atchadé, Firmin Doko Tchatoka
dc.identifier.citationJournal of Econometrics, 2024; 248:105723-1-105723-25
dc.identifier.doi10.1016/j.jeconom.2024.105723
dc.identifier.issn0304-4076
dc.identifier.issn1872-6895
dc.identifier.orcidDoko Tchatoka, F. [0000-0003-1876-0633]
dc.identifier.urihttps://hdl.handle.net/2440/146211
dc.language.isoen
dc.publisherElsevier
dc.relation.granthttp://purl.org/au-research/grants/arc/DP200101498
dc.rights© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dc.source.urihttp://dx.doi.org/10.1016/j.jeconom.2024.105723
dc.subjectgeneralized method of moments; mixed identification strength; weak identification; efficiency bounds; semiparametric models
dc.titleEfficiency bounds for moment condition models with mixed identification strength
dc.typeJournal article
pubs.publication-statusPublished online

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