The Role of Seasonality in Economic Time Series: Reinterpretating Money-Output Causality in U.S. Data

H.S. Lee and Pierre Siklos ()

Working Papers from Wilfrid Laurier University, Department of Economics

Abstract: While empirical evidence on the relationship between money and income has mainly been presented using seasonally adjusted data, seasonally unadjusted data are used in this paper to examine the time series behaviour of money, real GNP, and industrial production, at both the seasonal and zero frequencies based on tests of cointegration and seasonal cointegration. Two important conclusions are reached in the paper. First, although the univariate time series properties of M1 and real GNP appear to be very similar at both the seasonal and zero frequencies, seasonal comovements of M1 and real GNP turn out to be different from long- run comovements. Second, when seasonally unadjusted data are used, there appears to be no long-run relationship between money (M1 or M2) and output in the sense that the null of no cointegration cannot be rejected.

Keywords: COINTEGRATION; CORRELATION; STATISTICS (search for similar items in EconPapers)
JEL-codes: C22 C52 (search for similar items in EconPapers)
Date: 1997

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Journal Article: The role of seasonality in economic time series reinterpreting money-output causality in U.S. data (1997)
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Persistent link: http://EconPapers.repec.org/RePEc:wlu:wpaper:97-1

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