Calibrarion By Simulation for Small Sample Bias Correction

Christian S. Gourieroux, E. Renault and N. Touzi

Working Papers from Toulouse - GREMAQ

Abstract: This paper is interested in small sample properties of the indirect inference procedure which has been previously studied only from an asymptotic point of view. First, we highlight the fact that the Andrews(1993) median-bias correction procedure for autoregresssive parameter of an AR(1) process is closely related to indirect inference; we prove that the counterpart of the midian-bias correction for indirect inference estimator is an exact bias correction in the sense of a generalized mean. Next, assuming that the auxiliary estimator admits an Edgeworth expansion, we prove that indirect inference operates automatically a second order bias correction. The latter is a well known property of the Bootstrap estimator; we therefore provide a precise comparison between these two simulation based estimators.

Keywords: ECONOMETRICS (search for similar items in EconPapers)
JEL-codes: C13 (search for similar items in EconPapers)
Date: 1996

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:fth:gremaq:96.428

Access Statistics for this paper

More papers in Working Papers from Toulouse - GREMAQ
Address: GREMAQ, Universite de Toulouse I Place Anatole France 31042 - Toulouse CEDEX France.
Contact information at EDIRC.
Series data maintained by Thomas Krichel ().