IMF Working Papers

How Useful is Monetary Econometrics in Low-Income Countries? T+L3104he Case of Money Demand and the Multipliers in Rwanda

By Gabriel Di Bella, David Hauner

September 1, 2005

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Gabriel Di Bella, and David Hauner. How Useful is Monetary Econometrics in Low-Income Countries? T+L3104he Case of Money Demand and the Multipliers in Rwanda, (USA: International Monetary Fund, 2005) accessed December 9, 2024
Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

This paper revisits the usefulness of econometric monetary analysis in low-income countries in a case study on Rwanda, an interesting case given its floating exchange rate and reliance on indirect monetary policy instruments on the one hand, and its somewhat typical data and institutional shortcomings on the other hand. The findings are generally encouraging for the use of econometric models for monetary analysis in low-income countries. Notwithstanding substantial qualifications, time series and structural models of the money multiplier and money demand yield results that are statistically and economically reasonable enough to usefully inform policymaking.

Subject: Banking, Currencies, Demand for money, Exchange rates, Financial markets, Foreign exchange, Monetary base, Money, Money markets

Keywords: Component ratio, Currencies, Currency ratio, Demand for money, Excess supply, Exchange rates, GDP deflator, Monetary base, Money demand, Money markets, Money multiplier, Multiplier, Reserve ratio, Reserve requirement ratio, Rwanda, Time deposit, WP

Publication Details

  • Pages:

    23

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2005/178

  • Stock No:

    WPIEA2005178

  • ISBN:

    9781451861976

  • ISSN:

    1018-5941