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


  • Carrera, Cesar

    (Banco Central de Reserva del Perú)


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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    Cited by:

    1. Casto Martin Montero Kuscevic & Darius Daniel Martin, 2015. "Dollarization and money demand stability in Bolivia," Economics and Business Letters, Oviedo University Press, vol. 4(3), pages 116-122.
    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. 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.
    4. 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.
    5. 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.
    6. César Carrera & Jairo Flores, 2017. "Modelling and forecasting money demand: divide and conquer," Working Papers 2017-91, Peruvian Economic Association.

    More about this item


    Money demand; panel cointegration; FMOLS; Latin-American;

    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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