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Modelling the demand for loans to the private sector in the euro area

  • Calza, Alessandro
  • Gartner, Christine
  • Sousa, João

This paper studies the determinants of loans to the private sector in the euro area. Using the Johansen methodology, the study identifies one cointegrating relationship linking real loans, GDP and interest rates. This relationship implies that in the long-run real loans are positively related to real GDP and negatively to real short-term and long-term interest rates. Both the signs and the magnitude of the coefficients suggest that the cointegrating vector describes a long-run demand equation. The short-run dynamics of the demand for euro area real loans is subsequently modelled by means of a Vector Error Correction Model (VECM). A number of specification tests performed on the VECM produce satisfactory results, with tests of stability of the model parameters showing no signs of structural breaks during the sample period (1980 Q1 - 1999 Q2). All of this suggests that developments in real loans to the private sector in the euro area can be reasonably explained by the model JEL Classification: C32, C51

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Paper provided by European Central Bank in its series Working Paper Series with number 0055.

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Date of creation: Apr 2001
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Handle: RePEc:ecb:ecbwps:20010055
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  1. Brand, Claus & Cassola, Nuno, 2000. "A money demand system for euro area M3," Working Paper Series 0039, European Central Bank.
  2. Benjamin M. Friedman & Kenneth N. Kuttner, 1993. "Economic Activity and the Short-term Credit Markets: An Analysis of Prices and Quantities," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 24(2), pages 193-284.
  3. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  4. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," NBER Working Papers 5146, National Bureau of Economic Research, Inc.
  5. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
  6. Anil K. Kashyap & Jeremy C. Stein & David W. Wilcox, 1991. "Monetary policy and credit conditions: evidence from the composition of external finance," Finance and Economics Discussion Series 154, Board of Governors of the Federal Reserve System (U.S.).
  7. Jan Kakes, 2000. "Identifying the mechanism: is there a bank lending channel of monetary transmission in the Netherlands?," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 63-67.
  8. Fase, M. M. G. & Kramer, P. & Boeschoten, W. C., 1992. "MORKMON II : The Nederlandsche Bank's quarterly model of the Netherlands economy," Economic Modelling, Elsevier, vol. 9(2), pages 146-204, April.
  9. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
  10. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  11. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
  12. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
  13. de Bandt, Olivier & Jacquinot, Pascal, 1992. "The financing of corporate firms in France : An econometric model," Economic Modelling, Elsevier, vol. 9(3), pages 253-269, July.
  14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  15. Frank Browne & Gabriel Fagan & Jerome Henry, 2005. "Money Demand in EU Countries: A Survey," Macroeconomics 0503004, EconWPA.
  16. Calza, Alessandro & Gartner, Christine & Sousa, João, 2001. "Modelling the demand for loans to the private sector in the euro area," Working Paper Series 0055, European Central Bank.
  17. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  18. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  19. Gabriel Fagan & JÊrÆme Henry, 1998. "Long run money demand in the EU: Evidence for area-wide aggregates," Empirical Economics, Springer, vol. 23(3), pages 483-506.
  20. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
  21. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  22. DeJong, David N. & Nankervis, John C. & Savin, N. E. & Whiteman, Charles H., 1992. "The power problems of unit root test in time series with autoregressive errors," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 323-343.
  23. DeJong, David N, et al, 1992. "Integration versus Trend Stationarity in Time Series," Econometrica, Econometric Society, vol. 60(2), pages 423-33, March.
  24. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
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