Next Article in Journal
On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator
Next Article in Special Issue
Monte Carlo Inference on Two-Sided Matching Models
Previous Article in Journal / Special Issue
On the Validity of Tests for Asymmetry in Residual-Based Threshold Cointegration Models
Open AccessArticle

Indirect Inference: Which Moments to Match?

by David T. Frazier 1,* and Eric Renault 2,†
1
Department of Econometrics and Business Statistics, Monash University, Melbourne 3800, Australia
2
Department of Economics, University of Warwick, Coventry CV4 7AL, UK
*
Author to whom correspondence should be addressed.
We thank Geert Dhaene for helpful comments and discussions.
Econometrics 2019, 7(1), 14; https://doi.org/10.3390/econometrics7010014
Received: 19 December 2018 / Revised: 17 February 2019 / Accepted: 7 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue Resampling Methods in Econometrics)
The standard approach to indirect inference estimation considers that the auxiliary parameters, which carry the identifying information about the structural parameters of interest, are obtained from some recently identified vector of estimating equations. In contrast to this standard interpretation, we demonstrate that the case of overidentified auxiliary parameters is both possible, and, indeed, more commonly encountered than one may initially realize. We then revisit the “moment matching” and “parameter matching” versions of indirect inference in this context and devise efficient estimation strategies in this more general framework. Perhaps surprisingly, we demonstrate that if one were to consider the naive choice of an efficient Generalized Method of Moments (GMM)-based estimator for the auxiliary parameters, the resulting indirect inference estimators would be inefficient. In this general context, we demonstrate that efficient indirect inference estimation actually requires a two-step estimation procedure, whereby the goal of the first step is to obtain an efficient version of the auxiliary model. These two-step estimators are presented both within the context of moment matching and parameter matching. View Full-Text
Keywords: indirect inference; auxiliary models; overidentification indirect inference; auxiliary models; overidentification
MDPI and ACS Style

Frazier, D.T.; Renault, E. Indirect Inference: Which Moments to Match? Econometrics 2019, 7, 14.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop