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Spurious Regression and Trending Variables Author info | Abstract | Publisher info | Download info | Related research | Statistics Antonio E. Noriega
Daniel Ventosa-Santaulària
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This paper analyses the asymptotic and finite-sample implications of different types of non-stationary behaviour among the dependent and explanatory variables in a linear spurious regression model. We study cases when the non-stationarity 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 spurious regression equation under a variety of empirically relevant data generation processes, and show that the spurious regression phenomenon is present in all cases when both dependent and explanatory variables behave in a non-stationary way. Simulation experiments confirm our asymptotic results. Copyright 2007 Blackwell Publishing Ltd and the Department of Economics, University of Oxford.
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Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics .
Volume (Year): 69 (2007)
Issue (Month): 3 (06)
Pages: 439-444
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Handle: RePEc:bla:obuest:v:69:y:2007:i:3:p:439-444Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0305-9049
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