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Bias-corrected Moment-based Estimators for Parametric Models under Endogenous Stratified Sampling

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Author Info
Joaquim J.S. Ramalho ()
Esmeralda Ramalho ()

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Abstract

The ability of six 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.

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File URL: http://www.decon.uevora.pt/working_papers.php?id=148
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Publisher Info
Paper provided by University of Évora, Department of Economics (Portugal) in its series Economics Working Papers with number 11_2005.

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Length: 29 pages
Date of creation: 2005
Date of revision:
Handle: RePEc:evo:wpecon:11_2005

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Related research
Keywords: Endogenous Stratified Sampling; Bias correction; GMM; Parametric models;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation

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  1. Artem Prokhorov & Peter Schmidt, 2008. "GMM Redundancy Results for General Missing Data Problems," Working Papers 08003, Concordia University, Department of Economics. [Downloadable!]
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This page was last updated on 2009-11-22.


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