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Least Squares Regression with Integrated or Dynamic Regressors under Weak Error Assumptions

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Author Info
Andrews, Donald W. K.

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Abstract

This paper establishes consistency of least squares estimators in (i) a multiple regression model with integrated regressors and explosive, non-mixing errors, and (ii) a dynamic linear regression model with regressors and errors that may have infinite variances. In the former context, the asymptotic distribution of the least squares estimator also is obtained, in certain cases.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 3 (1987)
Issue (Month): 01 (February)
Pages: 98-116
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Handle: RePEc:cup:etheor:v:3:y:1987:i:01:p:98-116_00

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  1. Peter C.B. Phillips & Joon Y. Park, 1986. "Statistical Inference in Regressions with Integrated Processes: Part 1," Cowles Foundation Discussion Papers 811R, Cowles Foundation, Yale University, revised Aug 1987. [Downloadable!]
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