Historically, research focusing on the money demand function developing economies (especially Eastern European transition economies) was a difficult undertaking because of under-developed financial systems and the unavailability of data. This study aims to assist in filling this gap in the literature by employing three different estimation techniques to estimate the M1 and M2 money demand functions for Hungary. The study uses quarterly data for an 18-year period, obtained from the IMF’s International Financial Statistics database. The results based on the bounds testing procedure as well as the other two approaches confirm that a stable, long-run relationship exists between the demand for money and its determinants. The results’ robustness is enhanced by the similarities between the results of the various approaches used in the study. The money demand function can therefore theoretically serve as a tool to measure the effect of monetary policy decisions and in determining what parameters of the money demand function to adjust in order to yield the required effects. It is suggested that, in the case of Hungary the M1 money demand function might be the most appropriate model on which monetary policy decisions should be based.
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