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Testing the Nominal-to-Real Transformation


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  • Hans Christian Kongsted

    (Institute of Economics, University of Copenhagen)

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    Nominal-to-real data transformations are routinely used in empirical work. A common example is the transformation of nominal money and prices to real money and the rate of inflation. This paper establishes the necessary and sufficient condition for a transformation to reduce the order of integration of an I(2) vector process while retaining the cointegrating relations among the variables. A particular direction in which the condition potentially fails is often treated by assumption in applied work. In this case, the transformed process satisfies a well-specified vector equilibrium model, yet I(1) inference and interpretation based on the real transformed system is invalidated. An easy-to-implement sequential test of the transformation based on I(1) cointegration methods is suggested. It demonstrates good size and power properties in a small-scale simulation experiment. An empirical example illustrates the need to test the nominal-to-real transformation.

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    Bibliographic Info

    Paper provided by University of Copenhagen. Department of Economics in its series Discussion Papers with number 02-06.

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    Length: 26 pages
    Date of creation: Mar 2002
    Date of revision:
    Handle: RePEc:kud:kuiedp:0206

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    Related research

    Keywords: cointegration; stochastic trend; I(2); price homogeneity; Monto Carlo experiment;

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    Cited by:
    1. Igor Masten & Bostjan Jazbec & Fabrizio Coricelli, 2004. "L’influence du régime de change sur l’inflation dans les pays adhérents," Économie et Prévision, Programme National Persée, vol. 163(2), pages 51-61.
    2. Omtzigt, Pieter & Paruolo, Paolo, 2005. "Impact factors," Journal of Econometrics, Elsevier, vol. 128(1), pages 31-68, September.


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