GMM estimation with noncausal instruments under rational expectations
Matthijs Lof
MPRA Paper from University Library of Munich, Germany
Abstract:
There is hope for the generalized method of moments (GMM). Lanne and Saikkonen (2011) show that the GMM estimator is inconsistent, when the instruments are lags of noncausal variables. This paper argues that this inconsistency depends on distributional assumptions, that do not always hold. In particular under rational expectations, the GMM estimator is found to be consistent. This result is derived in a linear context and illustrated by simulation of a nonlinear asset pricing model.
Keywords: generalized method of moments; noncausal autoregression; rational expectations (search for similar items in EconPapers)
JEL-codes: C22 C32 C51 (search for similar items in EconPapers)
Date: 2011-12-22
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/35536/1/MPRA_paper_35536.pdf original version (application/pdf)
Related works:
Journal Article: GMM Estimation with Non-causal Instruments under Rational Expectations (2014) 
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: https://EconPapers.repec.org/RePEc:pra:mprapa:35536
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().