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Two Stage and Related Estimators and Their Applications Author info | Abstract | Publisher info | Download info | Related research | Statistics Adrian Pagan
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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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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
741.
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Length: 45 pages
Date of creation: Apr 1985Date of revision:
Handle: RePEc:cwl:cwldpp:741Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
For technical questions regarding this item, or to correct its listing, contact: (Glena Ames).
Keywords: Two stage estimators censored data anticipation Other versions of this item:
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