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A cointegration model of money and wealth

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  • Assenmacher-Wesche, Katrin
  • Beyer, Andreas

Abstract

Extending the data set used in Beyer (2009) to 2017, we estimate I(1) and I(2) money demand models for euro area M3. After including two broken trends and a few dummies to account for shifts in the variables following the global financial crisis and the ECB's non-standard monetary policy measures, we find that the money demand and the real wealth relations identified in Beyer (2009) have remained remarkably stable throughout the extended sample period. Testing for price homogeneity in the I(2) model we find that the nominal-to-real transformation is not rejected for the money relation whereas the wealth relation cannot be expressed in real terms.

Suggested Citation

  • Assenmacher-Wesche, Katrin & Beyer, Andreas, 2019. "A cointegration model of money and wealth," CFS Working Paper Series 619, Center for Financial Studies (CFS).
    • Handle: RePEc:zbw:cfswop:619
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    References listed on IDEAS

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    Cited by:

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    2. Jung, Alexander, 2024. "The quantity theory of money, 1870-2020," Working Paper Series 2940, European Central Bank.
    3. Ivo J. M. Arnold, 2022. "Monetary overhang in times of covid: evidence from the euro area," Applied Economics, Taylor & Francis Journals, vol. 54(35), pages 4030-4042, July.

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    More about this item

    Keywords

    money demand; wealth; cointegration; vector error correction model; I(2) analysis;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • 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
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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