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Testing the Friedman-Schwartz hypothesis using time varying correlation

Author

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  • Taniya Ghosh

    (Indira Gandhi Institute of Development Research)

  • Prashant Mehul Parab

    (Indira Gandhi Institute of Development Research)

Abstract

This study analyses the time varying correlation of money and output using the DCC GARCH model for the Euro, India, Poland, the UK and the US. Apart from simple sum money, this model uses Divisia monetary aggregate, which is theoretically shown as the actual measure of monetary services. The inclusion of Divisia money affirms the Friedman-Schwartz hypothesis that money is procyclical. The procyclical nature of association was not robustly observed in recent data when simple sum money was used.

Suggested Citation

  • Taniya Ghosh & Prashant Mehul Parab, 2019. "Testing the Friedman-Schwartz hypothesis using time varying correlation," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-001, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Handle: RePEc:ind:igiwpp:2019-001
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    References listed on IDEAS

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    1. Hendrickson, Joshua R., 2014. "Redundancy Or Mismeasurement? A Reappraisal Of Money," Macroeconomic Dynamics, Cambridge University Press, vol. 18(7), pages 1437-1465, October.
    2. Darvas, Zsolt, 2015. "Does money matter in the euro area? Evidence from a new Divisia index," Economics Letters, Elsevier, vol. 133(C), pages 123-126.
    3. W. K. Li & T. K. Mak, 1994. "On The Squared Residual Autocorrelations In Non‐Linear Time Series With Conditional Heteroskedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(6), pages 627-636, November.
    4. Michael T. Belongia & Peter N. Ireland, 2016. "Money and Output: Friedman and Schwartz Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1223-1266, September.
    5. William A. Barnett, 2000. "Economic Monetary Aggregates: An Application of Index Number and Aggregation Theory," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 11-48, Emerald Group Publishing Limited.
    6. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    7. Estrella, Arturo & Mishkin, Frederic S., 1997. "Is there a role for monetary aggregates in the conduct of monetary policy?," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 279-304, October.
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    Cited by:

    1. Barnett, William A. & Ghosh, Taniya & Adil, Masudul Hasan, 2022. "Is money demand really unstable? Evidence from Divisia monetary aggregates," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 606-622.
    2. Szafranek, Karol, 2021. "Evidence on time-varying inflation synchronization," Economic Modelling, Elsevier, vol. 94(C), pages 1-13.

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    More about this item

    Keywords

    DCC GARCH; Divisia; Monetary Aggregates; Real Output;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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