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Journal of Financial and Quantitative Analysis Vol. 48 No. 1 2013

Using Samples of Unequal Length in Generalized Method of Moments Estimation

Anthony W. Lynch1; Jessica A. Wachter2

1 New York University · 2 William P. Wharton Trust

open access

Abstract

This paper describes estimation methods, based on the generalized method of moments (GMM), applicable in settings where time series have different starting or ending dates. We introduce two estimators that are more efficient asymptotically than standard GMM. We apply these to estimating predictive regressions in international data and show that the use of the full sample affects inference for assets with data available over the full period as well as for assets with data available for a subset of the period. Monte Carlo experiments demonstrate that reductions hold for small-sample standard errors as well as asymptotic ones.

DOI
10.1017/s0022109013000070
Volume
48
Issue
1
Pages
277-307
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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