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Long-Run Money Demand in Latin-American countries: A Nonestationary Panel Data Approach

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  • Carrera, Cesar

    (Banco Central de Reserva del Perú)

Abstract

Central banks have long been interested in obtaining precise estimations of money demand given the fact that the evolution of money demand plays a key role over several monetary variables. I use Pedroni's (2002) Fully Modified Ordinary Least Square (FMOLS) to estimate the coefficients of the long-run money demand function for 15 Latin-American countries. The FMOLS technique pool information regarding common long-run relationships while allowing the associated short-run dynamics and fixed effects to be heterogeneous across different members of the panel. For this group of countries, I find evidence of a cointegrating money demand, an income elasticity of 0.94, and an interest-rate semi-elasticity of -0.01.

Suggested Citation

  • Carrera, Cesar, 2012. "Long-Run Money Demand in Latin-American countries: A Nonestationary Panel Data Approach," Working Papers 2012-016, Banco Central de Reserva del Perú.
    • Handle: RePEc:rbp:wpaper:2012-016
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    References listed on IDEAS

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    2. Felix S. Nyumuah, 2017. "An Investigation into the Interest Elasticity of Demand for Money in Developing Countries: A Panel Data Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 69-80, March.
    3. Mahmood, Haider, 2016. "Revisiting Money Demand Function for GCC Countries and Testing its Stability," MPRA Paper 109457, University Library of Munich, Germany.
    4. Paresh Kumar Narayan, 2010. "Modelling money demand for a panel of eight transitional economies," Applied Economics, Taylor & Francis Journals, vol. 42(25), pages 3293-3305.
    5. Saten Kumar & Mamta B. Chowdhury & B. Bhaskara Rao, 2013. "Demand for money in the selected OECD countries: a time series panel data approach and structural breaks," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1767-1776, May.
    6. Christian Ferrada K. & Mario Tagle E., 2014. "Estimación Reciente de la Demanda de Dinero en Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(3), pages 86-109, December.
    7. César Carrera & Jairo Flores, 2017. "Modelling and forecasting money demand: divide and conquer," Working Papers 91, Peruvian Economic Association.
    8. Pasquale Foresti & Oreste Napolitano, 2013. "Modelling long-run money demand: a panel data analysis on nine developed economies," Applied Financial Economics, Taylor & Francis Journals, vol. 23(22), pages 1707-1719, November.
    9. Subhasankar Chattopadhyay, 2019. "The Macroeconomics of Demonetization: Theory and Some Conjectures," South Asian Journal of Macroeconomics and Public Finance, , vol. 8(2), pages 118-143, December.

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    More about this item

    Keywords

    Money demand; panel cointegration; FMOLS; Latin-American;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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