Spurious Regression and Trending Variables
Antonio Noriega () and
MPRA Paper from University Library of Munich, Germany
This paper analyses the asymptotic and finite sample implications of different types of nonstationary behavior among the dependent and explanatory variables in a linear spurious regression model. We study cases when the nonstationarity in the dependent and explanatory variables is deterministic as well as stochastic. In particular, we derive the order in probability of the t−statistic in a linear regression equation under a variety of empirically relevant data generation processes, and show that the spurious regression phenomenon is present in all cases considered, when at least one of the variables behaves in a nonstationary way. Simulation experiments confirm our asymptotic results.
Keywords: Spurious regression; trends; unit roots; trend stationarity; structural breaks (search for similar items in EconPapers)
JEL-codes: C12 C13 C22 (search for similar items in EconPapers)
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Published in Oxford Bulletin of Economics and Statistics 3.69(2007): pp. 439-444
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Journal Article: Spurious Regression and Trending Variables* (2007)
Working Paper: Spurious Regression and Trending Variables (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:58775
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