Traditional specifications of money demand have commonly been plagued by persistent overprediction, implausible parameter estimates, andhighly autocorrelated errors. The authors argue that some of these problems stem from the failure to account for the impact of financial innovation. They estimate money demand for ten developing countries, using various proxies for financial innovations. They also assess the relative importance of this variable, finding financial innovation can be better modeled as a stochastic (random-walk) trend rather than a deterministic (time) trend. Financial innovation plays an important role in determining fluctuations of the demand for money. The importance of this role increases with the rate of inflation.
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Cooley, Thomas F & Prescott, Edward C, 1973.
"An Adaptive Regression Model,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 364-71, June.
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Goldfeld, Stephen M. & Sichel, Daniel E., 1990.
"The demand for money,"
Handbook of Monetary Economics,
in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 8, pages 299-356
Elsevier.
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