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Bootstrap bias-adjusted GMM estimators

Article ID Journal Published Year Pages File Type
5062548 Economics Letters 2006 7 Pages PDF
Abstract

The ability of four alternative bootstrap methods to reduce the bias of GMM parameter estimates is examined in an instrumental variable framework using Monte Carlo analysis. Promising results were found for the two bootstrap estimators suggested in the paper.

Keywords
C13C14GMMBootstrapEmpirical likelihoodMonte CarloInstrumental variables
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
Preview
Bootstrap bias-adjusted GMM estimators
Authors
Joaquim J.S. Ramalho,
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Journal
Economics Letters
Journal: Economics Letters
Related Categories
C13
C14
GMM
Bootstrap
Empirical likelihood
Monte Carlo
Instrumental variables
Economics and Econometrics
Economics, Econometrics and Finance (General)
Finance
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