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Title:Using HP Filtered Data for Econometric Analysis : Some Evidence from Monte Carlo Simulations PDF Logo
Authors:Winker, Peter
Meyer, Mark
Issue Date:2004
Series/Report no.:Discussion paper / Universität Erfurt, Staatswissenschaftliche Fakultät 2004,001E
Abstract:The Hodrick-Prescott (HP) filter has become a widely used tool for detrending integrated time series in applied econometric analysis. Even though the theoretical time series literature sums up an extensive catalogue of severe criticism against an econometric analysis of HP filtered data, the original Hodrick and Prescott (1980, 1997) suggestion to measure the strength of association between (macro-)economic variables by a regression analysis of corresponding HP filtered time series still appears to be popular. A contradictory situation which might be justified only if HP induced distortions were quantitatively negligible in empirical applications. However, this hypothesis can hardly be maintained as the simulation results presented within this paper indicate that HP filtered series give seriously rise to spurious regression results.
Subjects:HP filter
spurious regression
detrending
JEL:C15
C22
Document Type:Working Paper
Appears in Collections:Discussion Papers, Staatswissenschaftliche Fakultät, Universität Erfurt

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