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Analysis Of The Behaviour Of Money Demand


  • Pelinescu, Elena

    (Institute for Economic Forecasting, Romanian Academy, Bucharest)

  • Scutaru, Cornelia

    () (Institute for Economic Forecasting, Romanian Academy, Bucharest)


The purpose of this paper is to offer an analysis of the behaviour of the money demand, inflation and their determinants, with a focus on the short-term impact of external shocks. Taking into account the weak structure of the Romanian economy (Dobrescu, 1997) the authors confined the study to testing the model for investigating the short-term dynamics.

Suggested Citation

  • Pelinescu, Elena & Scutaru, Cornelia, 2000. "Analysis Of The Behaviour Of Money Demand," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 35-47, June.
  • Handle: RePEc:rjr:romjef:v::y:2000:i:1:p:35-47

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    References listed on IDEAS

    1. Emilian Dobrescu, "undated". "Integration of Macroeconomic Behavioural Relationships and the Input-output Block (Romanian Modelling Experience)," EcoMod2006 272100018, EcoMod.
    2. Pauna, Bianca & Ghizdeanu, Ion & Scutaru, Cornelia & Fomin, Petre & Saman, Corina, 2007. "The "Dobrescu” Macromodel of the Romanian Market Economy - 2005 version. Yearly Forecast – Preliminary results for 2007," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(4), pages 124-126, December.
    3. Dobrescu, Emilian, 1996. "Macromodels of the Romanian transition Economy," MPRA Paper 35810, University Library of Munich, Germany.
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    More about this item


    money demand; inflation; Romanian economy; VAR;

    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
    • 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


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