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Two Stage and Related Estimators and Their Applications

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  • Adrian Pagan

Abstract

Applied econometric research frequently encounters the difficulty that estimation of the parameters of interest is complex owing to the presence of incidental parameters. It is tempting therefore to try to circumvent the difficulties by proceeding in two stages. In the first, some estimates are made of the incidental parameters. In the second, these estimates are treated as though they were population values, leading to a large reduction in the dimension of the unknown parameter space, possibly even down to that of the parameters of interest only. The properties of such a staged process (particularly as they relate to issues arising from the consistency and efficiency of the estimator and the provision of reliable inference), applications involving the presence of current and future anticipations, an alternative estimator, and diagnostic tests are all discussed in this paper.

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File URL: http://cowles.yale.edu/sites/default/files/files/pub/d07/d0741.pdf
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Paper provided by Cowles Foundation for Research in Economics, Yale University in its series Cowles Foundation Discussion Papers with number 741.

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Length: 45 pages
Date of creation: Apr 1985
Publication status: Published in Review of Economic Studies (1986), 53: 517-538
Handle: RePEc:cwl:cwldpp:741
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Yale University, Box 208281, New Haven, CT 06520-8281 USA

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Web page: http://cowles.yale.edu/

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Keywords: Two stage estimators; censored data; anticipation;

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