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Long-run money demand in OECD countries: what role do common factors play?

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  • Frauke Dobnik

Abstract

This article examines the long-run money demand function for 11 OECD countries from 1983Q1 to 2006Q4 using panel data. The distinction between common factors and idiosyncratic components using principal component analysis allows for the detection of cross-member cointegration and the determination as to whether national or international sources are responsible for the non-stationarity of money and its determinants. Indeed, the finding that the common factors are I(1) while the idiosyncratic components are I(0) indicates that cross-member cointegration may exist and non-stationarity in the variables is primarily driven by common international trends. Furthermore, it is found that the impact of income on money demand is positive, whereas it is negative for the interest rate, exchange rate and stock prices. Except for the income elasticity of money demand, all estimated long-run coefficients are larger for the common factors of the variables than for the variables themselves. This article provides evidence that the exchange rate is an important determinant of money demand, whereas the results for the stock prices are ambiguous. Finally, the results of a panel-based error-correction model suggest that several domestic money stocks converge to a common international equilibrium relationship between the common factors. Copyright Springer-Verlag 2013

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  • Frauke Dobnik, 2013. "Long-run money demand in OECD countries: what role do common factors play?," Empirical Economics, Springer, vol. 45(1), pages 89-113, August.
  • Handle: RePEc:spr:empeco:v:45:y:2013:i:1:p:89-113
    DOI: 10.1007/s00181-012-0600-6
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    2. John Paul Dunne & Elizabeth Kasekende, 2018. "Financial Innovation and Money Demand: Evidence from Sub‐Saharan Africa," South African Journal of Economics, Economic Society of South Africa, vol. 86(4), pages 428-448, December.
    3. Vittorio Daniele & Pasquale Foresti & Oreste Napolitano, 2017. "The stability of money demand in the long-run: Italy 1861–2011," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(2), pages 217-244, May.
    4. Michael Asiedu & Patrick Bimpong & Thomas Hezkeal Nan Khela & Benedict Arthur, 2021. "Long-Run Money Demand Function: Search for Stability in Twenty (20) Non-EMU Member Countries," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 9(1), pages 58-87.
    5. Ben-Salha, Ousama & Jaidi, Zied, 2014. "Some new evidence on the determinants of money demand in developing countries – A case study of Tunisia," The Journal of Economic Asymmetries, Elsevier, vol. 11(C), pages 30-45.
    6. Ingrid Groessl & Artur Tarassow, 2015. "A Microfounded Model of Money Demand Under Uncertainty, and some Empirical Evidence," Macroeconomics and Finance Series 201504, University of Hamburg, Department of Socioeconomics, revised Jan 2018.
    7. Helmut Herwartz & Jordi Sardà & Bernd Theilen, 2016. "Money demand and the shadow economy: empirical evidence from OECD countries," Empirical Economics, Springer, vol. 50(4), pages 1627-1645, June.
    8. Michael Asiedu & Patrick Bimpong & Thomas Hezkeal Nan Khela & Benedict Arthur, 2021. "Long-Run Money Demand Function: Search for Stability in Twenty (20) Non-EMU Member Countries," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 9(1), pages 58-87, March.

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    More about this item

    Keywords

    Money demand; Wealth effects; Panel unit roots; Error-correction models; E41; C22; C33;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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