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Bank interest rates pass-through: new evidence from French panel data

Author

Listed:
  • Frappa, Sebastien
  • Murez, Michèle
  • Montornès, Jérémi
  • Barbier de la Serre, Anne

Abstract

This paper investigates the pass-through mechanism from market interest rates to bank interest rates using a panel of French banks based on new interest rates statistics. The data are extracted from new individual contracts, on a monthly basis for the three main sectors of the credit market (consumers loans, mortgage loans and loans to enterprises) from January 2003 to July 2007. The pass-through is estimated using recent econometric methods on non-stationary panel data. In contrast to previous studies, cross-sectional dependence among banks is allowed. Our results confirm that bank rates for loans to enterprises and mortgage loans do not adjust completely to changes in market rates, even in the long run. The model also captures the narrowing of the intermediation margin during the period considered.

Suggested Citation

  • Frappa, Sebastien & Murez, Michèle & Montornès, Jérémi & Barbier de la Serre, Anne, 2008. "Bank interest rates pass-through: new evidence from French panel data," MPRA Paper 26709, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:26709
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    References listed on IDEAS

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    1. Bondt Gabe J. de, 2005. "Interest Rate Pass-Through: Empirical Results for the Euro Area," German Economic Review, De Gruyter, vol. 6(1), pages 37-78, February.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    4. repec:adr:anecst:y:2000:i:59:p:09 is not listed on IDEAS
    5. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    6. Banerjee, Anindya & Carrion-i-Silvestre, Josep Lluís, 2006. "Cointegration in panel data with breaks and cross-section dependence," Working Paper Series 591, European Central Bank.
    7. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    8. Gambacorta, Leonardo, 2008. "How do banks set interest rates?," European Economic Review, Elsevier, vol. 52(5), pages 792-819, July.
    9. Coffinet, J., 2005. "Politique monétaire unique et canal des taux d’intérêt en France et dans la zone euro," Bulletin de la Banque de France, Banque de France, issue 136, pages 29-40.
    10. De Graeve, Ferre & De Jonghe, Olivier & Vennet, Rudi Vander, 2007. "Competition, transmission and bank pricing policies: Evidence from Belgian loan and deposit markets," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 259-278, January.
    11. Laurent Baumel & Patrick Sevestre, 2000. "La relation entre le taux des crédits et le coût des ressources bancaires. Modélisation et estimation sur données individuelles de banques," Annals of Economics and Statistics, GENES, issue 59, pages 199-226.
    12. Mojon, Benoît, 2000. "Financial structure and the interest rate channel of ECB monetary policy," Working Paper Series 40, European Central Bank.
    13. Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, December.
    14. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
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    Cited by:

    1. Anindya Banerjee & Victor Bystrov & Paul Mizen, 2010. "Interest rate pass-through in the major European economies - the role of expectations," Discussion Papers 10-07, Department of Economics, University of Birmingham.
    2. Apergis, Nicholas & Cooray, Arusha, 2015. "Asymmetric interest rate pass-through in the U.S., the U.K. and Australia: New evidence from selected individual banks," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 155-172.
    3. Jiří Gregor & Aleš Melecký & Martin Melecký, 2021. "Interest Rate Pass‐Through: A Meta‐Analysis Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 141-191, February.
    4. Anindya Banerjee & Victor Bystrov & Paul Mizen, 2013. "How Do Anticipated Changes to Short‐Term Market Rates Influence Banks' Retail Interest Rates? Evidence from the Four Major Euro Area Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(7), pages 1375-1414, October.

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    More about this item

    Keywords

    transmission mechanism of monetary policy; nonstationary panel data; cross-section dependence;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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