The Failure of Orthogonality under Nonstationarity: Should We Care About It?

We consider two well-known facts in econometrics: (i) the failure of the orthogonality assumption (i.e., no independence between the regressors and the error term), which implies biased and inconsistent Least Squares (LS) estimates and (ii) the consequences of using nonstationary variables, acknowle...

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Bibliographic Details
Main Authors: Jose A. Campillo-García, Daniel Ventosa-Santaulària
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2011/329870
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