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Convergence in Household Credit Demand Across Euro Area Countries: Evidence from Panel Data

Author

Listed:
  • De Bandt. O.
  • Bruneau, C.
  • El Amri, W.

Abstract

The paper contributes to the literature on the convergence of financial systems in the euro area by estimating household credit demand in individual countries. Using the ARDL framework advocated notably by Pesaran et al. (1999), the paper provides evidence on the convergence of long run credit demand determinants (interest rates, investment and house prices) among the largest euro area countries, while short run dynamics remain heterogenous across countries. The paper also demonstrates that the equation uncovers demand rather than supply behaviour.

Suggested Citation

  • De Bandt. O. & Bruneau, C. & El Amri, W., 2006. "Convergence in Household Credit Demand Across Euro Area Countries: Evidence from Panel Data," Working papers 158, Banque de France.
  • Handle: RePEc:bfr:banfra:158
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    References listed on IDEAS

    as
    1. Boris Hofmann, 2001. "The determinants of private sector credit in industrialised countries: do property prices matter?," BIS Working Papers 108, Bank for International Settlements.
    2. Fase, M. M. G., 1995. "The demand for commercial bank loans and the lending rate," European Economic Review, Elsevier, vol. 39(1), pages 99-115, January.
    3. Ricardo Gimeno & Carmen Martínez-Carrascal, 2006. "The interaction between house prices and loans for house purchase. The Spanish case," Working Papers 0605, Banco de España;Working Papers Homepage.
    4. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Friedman, Benjamin M. & Kuttner, Kenneth N., 1993. "Another look at the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 189-203.
    7. Entorf, Horst, 1997. "Random walks with drifts: Nonsense regression and spurious fixed-effect estimation," Journal of Econometrics, Elsevier, vol. 80(2), pages 287-296, October.
    8. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    9. Bewley, R. A., 1979. "The direct estimation of the equilibrium response in a linear dynamic model," Economics Letters, Elsevier, vol. 3(4), pages 357-361.
    10. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    11. Ben S. Bernanke, 1988. "Monetary policy transmission: through money or credit?," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-11.
    12. A. Calza & C. Gartner & J. Sousa, 2003. "Modelling the demand for loans to the private sector in the euro area," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 107-117.
    13. Neven, Damien & Roller, Lars-Hendrik, 1999. "An aggregate structural model of competition in the European banking industry," International Journal of Industrial Organization, Elsevier, vol. 17(7), pages 1059-1074, October.
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    More about this item

    Keywords

    Credit demand ; Panel cointegration ; Households ; Bank profitability.;

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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