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Convergence in household credit demand across euro area countries: evidence from panel data

Author

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  • O. de Bandt
  • C. Bruneau
  • W. El Amri

Abstract

This article 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 article provides evidence on the convergence of long-run credit demand determinants (interest rates, investment and house prices) in the largest euro area countries, while short run-dynamics remain heterogenous across countries. The article also demonstrates that the equation uncovers demand rather than supply behaviour.

Suggested Citation

  • O. de Bandt & C. Bruneau & W. El Amri, 2009. "Convergence in household credit demand across euro area countries: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 41(27), pages 3447-3462.
    • Handle: RePEc:taf:applec:v:41:y:2009:i:27:p:3447-3462
    DOI: 10.1080/00036840701493774
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    References listed on IDEAS

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    Cited by:

    1. Can Xu & Andreas Steiner & Jakob Haan, 2025. "Does uncertainty matter for private credit convergence?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 161(3), pages 1071-1112, August.
    2. Helen Higgs & Andrew C. Worthington, 2011. "Price and income elasticity of Australian retail finance: An autoregressive distributed lag (ARDL) approach," Discussion Papers in Finance finance:201117, Griffith University, Department of Accounting, Finance and Economics.
    3. Renáta Pitoňáková, 2018. "Private Sector Savings," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 1-17, March.
    4. Philip R. Lane & Peter McQuade, 2014. "Domestic Credit Growth and International Capital Flows," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(1), pages 218-252, January.
    5. V. A. Pankova, 2022. "Modeling the Dynamics of Retail Lending in Russia: a Relationship with the Dynamics of Household Savings, Incomes, and Expenses," Studies on Russian Economic Development, Springer, vol. 33(6), pages 723-735, December.
    6. Leonardo Gambacorta & Carlotta Rossi, 2010. "Modelling bank lending in the euro area: a nonlinear approach," Applied Financial Economics, Taylor & Francis Journals, vol. 20(14), pages 1099-1112.

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    More about this item

    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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