Drama, Bedi Guy Herve and Yao, Shen (2010): The Demand for Money in Cote d’Ivoire: Evidence from the Cointegration Test.
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This paper demonstrates that there is a long run equilibrium relationship between money supply 〖(M〗_1) and its main determinants, real income (GDP) and interest rate in Cote d’Ivoire. In order to investigate long-term relationship among these variables, we use Juselius and Johansen cointegration test with time series data covering the period of 1980-2007. The results show that there is long-term relationship among these variables as well as the linkage between them. Base from this result we found that only real money balances 〖(M〗_1) has significant long -run economic impact of variations in monetary policy in Cote d’Ivoire. However, the study also revealed that the effect of aggregate 〖(M〗_2) is not so stable linking with it determinants.
|Item Type:||MPRA Paper|
|Original Title:||The Demand for Money in Cote d’Ivoire: Evidence from the Cointegration Test.|
|Keywords:||Cointegration test, Money demand|
|Subjects:||E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy|
|Depositing User:||Bedi Guy Herve Drama|
|Date Deposited:||19. Jan 2010 18:40|
|Last Modified:||25. Mar 2015 09:27|
Arize, a. M. (2000). Does inflation variability affect the demand for money in China? Evidence from error correction models. International Economic Journal 14 (1), 47–60.
Baharumshah, A. Z. (2009). Stock prices and demand for money in China:New evidence. Journal of International Market, Institution and Money 171,187.
Breusch. (1979). Testing for autocorrelation in dynamic linear models. Australian Economic Papers 17, 334-355.
Brown and Durbin, a. J. (1975). Techniques for Testing the Constancy of Regression Relations Over Time,. Journal of the Royal Statistical Society, 37, 149-92.
Brown, a. D. (1975). Techniques for Testing the Constancy of Regression Relations Over Time,. Journal of the Royal Statistical Society, 37, 149-92.
Chen, B. (1997). Long-run money demand and inflation in China. . Journal of Macroeconomics 19 (3), 609–617.
Cheung and Lai. (1993). Finite-sample sizes of Johansen’s likelihood ratio tests for cointegration. Oxford Bulletin of Economics and Statistics 55, 313–328.
Cheung, a. ,. (1993). Finite-sample sizes of Johansen’s likelihood ratio tests for cointegration. Oxford Bulletin of Economics and Statistics 55, P 313–328.
Deng and Liu. (1999). Modeling and forecasting the money demand in China: cointegration and nonlinear analysis. Annals of Operations Research 87, 177–189.
Deng, a. L. (1999). Modeling and forecasting the money demand in China: cointegration and nonlinear analysis. Annals of Operations Research 87, 177–189.
Dickey, ,. J. (1991). “A Primer on Cointegration with an Application to Money and Income. Review, Federal Reserve Bank of St. Louis, 73, pp. 58-78.
Dickey, F. (1979). Distribution of the Estimators for Autoregressive time series with Unit Roots. Journal of American Statistical Associations.
E.W. David, L. ( 1993.). The Demand for Money: Theories, Evidence and Problems 4th Edition. New York, NY: Harper Collins College Publishers, .
Engel, F. R. (1982). Econometrica. Volume 50 view citation econometric Econ.Papers.
Engel, -G. (1987). Cointegration and Error Correction: Presentation Estimation and Testing. Econometrica 55 149-149.
Faig, M. (1988). Characterization of the optimal tax on money when it functions as a medium of exchange. Journal of Monetary Economics, 22, 137–148.
Friedman, M. (1956). Quantity Theory of Money. Chicago.
Friedman, M. (1959). The demand for money : Some Theoretical and Empirical Results . Chicago: Journal of Political Economy in 1959.
Fuller, W. (1979). Dickey, D.A. and W.A. Fuller (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,. Journal of the American Statistical Association, 74, p. 427–431.
Godfrey. (1979). Testing against general autoregressive and moving average error models when the regressors include lagged dependent varibles. Econometrica 46, 1293-1302.
Hafer, R. W. (1991). “The Demand for Money in the United States: Evidence from Cointe-gration Tests,. Journal of Money, Credit and Banking, 23, pp 155-68.
Hendry, a. J. (1983). The econometric analysis of Economics Time series Data. International Statistics review 51 Page 3-33.
Hoffman, D. L. ( 1995). The Stability of Long-Run Money Demand in Five Industrial Countries,” . Journal of Monetary Economics, 35, pp. 317-39.
Hwan, J.-K. (2002). The Demand forMoney in Korea: Evidence from the Cointegration Test. Int’l Advances in Econ. Res., 8(3): pp. 188-195,.
Jansen, ,. D. (1991). “The Demand for Money in the United States: Evidence from Cointe-gration Tests,”. Journal of Money, Credit and Banking, 23, pp 155-68.
Jarque-Bera. (1987). A test for normality of observations and . regression residuals, International Statistical Review, 55, 163–172.
Jenkins, C. (1999). Money demand and stabilization in Zimbabwe. Journal of African. Economies, 8, 386–421.
Johansen, a. J. (1990,). Maximum Likelihood Estimation and Inference on Cointegration-with Application to the Demand for Money,” . Oxford Bulletin of Economics and Statistics, 52, .
Johansen, S. (1988). “Statistical Analysis of Cointegrating Vectors.”. Journal of Economic Dynamics and Control, 231-54.
Juselius, ,. K. (1988). “Maximum Likelihood Estimation and Inference on Cointegration-with Application to the Demand for Money,” . Oxford Bulletin of Economics and Statistics, 52,.
Juselius, K. (2000). Explaining Cointegration Analysis: Part II. Nuffield College, Oxford, OX1 1NF.Department of Economics, University of Copenhagen, Denmark.
Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration – with application to the demand for money. Economics and Statistics, 52, 169–210. Oxford Bulletin of.
Kimbrough, ,. K. ((1986b). Inflation, employment, and welfare in the presence of transaction costs. Journal of Monetary Economics, 18, 277–284.
Laidler, E. D. (1993). The Demand for Money: Theories, Evidence and Problems. New York: 4th Edition,Harper Collins College Publishers.
Loomis, D. (2006). Money Demand Forecasting in Kenya: An Empirical Study of a Developing Sub-Saharan Economy. Forcasting Econo 439 Term Project.
Malindretos, a. A. (2000). Does inflation variability affect the demand for money in China? Evidence from error–correction models. International Economic Journal 14 (1), 47–60.
Mankiw, N. G. (November 1986). “Money Demand and the Effects of Fiscal Problems Policies”. Journal of Money, Credit and Banking, Volume 18, N0.4.
Miller, ,. S. (1991). Monetary Dynamics: An Application of Cointegration and Error Correction Model-ing,” . Journal of Money, Credit, and Banking, 23, pp. 139-54.
Nachega, J. (2001). Financial liberalization, money demand, and inflation in Uganda, . IMF Working Paper 01/118.
Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. . Econometric Theory, 20,.
Phillips–Perron. (1988). Testing for a Unit Root in Time Series Regression". Biometrika, 75, 335–346.
Ramsey, J. (1969). Tests for Specification Error in Clasical Least Square Regression Analysis. Journal of the Royal Statistical Society B31 pp.250-71.
Rasche, ,. R. (1992.). Monetary Aggregates, Monetary Policy and Economic Activity,. Michigan State: Econometrics and Economic Theory. ... Papers 9101, .
Rother, P. C. (1999). Money demand in the west African economic and monetary union the problems of aggregation. Journal of African Economies, 8, 422–447.
Shigeyuki, H. (1988). Empirical Analysis of the Money Demand Function in Sub-Saharan Africa. Economics Bulletin, Vol. 15, No. 4 pp. 1-15.
Waston, M. W. (1994). Vector Autoregression and Cointegration Chap.14 Hand book of econometrics Volume IV. Amsterdam: Edit by Robert Engel and Daniel McFadden.