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Heterogeneous Bank Lending Responses to Monetary Policy: New Evidence from a Real-Time Identification

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  • John C. Bluedorn

    (International Monetary Fund)

  • Christopher Bowdler

    (University of Oxford)

  • Christoffer Koch

    (Federal Reserve Bank of Dallas)

Abstract

We present new evidence on how heterogeneity in banks interacts with monetary policy changes to impact bank lending, at both the bank and U.S. state levels. We use a new policy measure identified from narratives on FOMC intentions and real-time economic forecasts. This policy measure eliminates some of the movements in the actual federal funds rate that are endogenous to expected economic conditions. We find much stronger dynamic effects, and greater heterogeneity, in U.S. bank lending responses to the new monetary policy measure compared with the standard measure based on realized federal funds rate changes. Our findings suggest that studies using realized monetary policy changes confound monetary policy’s effects with those of changes in expected macro fundamentals. In fact, estimates from identified monetary policy changes lead to a reversal of U.S. states’ ranking by credit’s sensitivity to policy.We also extend Romer and Romer (2004)’s identification scheme, and expand the time and balance sheet coverage of the U.S. banking sample.

Suggested Citation

  • John C. Bluedorn & Christopher Bowdler & Christoffer Koch, 2017. "Heterogeneous Bank Lending Responses to Monetary Policy: New Evidence from a Real-Time Identification," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 95-149, February.
  • Handle: RePEc:ijc:ijcjou:y:2017:q:0:a:3
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    Cited by:

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    3. Carolina Ortega Londono & Diego Restrepo, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16987, Universidad EAFIT.
    4. Igan, Deniz & Kabundi, Alain & De Simone, Francisco Nadal & Tamirisa, Natalia, 2017. "Monetary policy and balance sheets," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 169-184.
    5. Koch, Christoffer, 2015. "Deposit interest rate ceilings as credit supply shifters: Bank level evidence on the effects of Regulation Q," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 316-326.
    6. Ramos-Tallada, Julio, 2015. "Bank risks, monetary shocks and the credit channel in Brazil: Identification and evidence from panel data," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 135-161.
    7. Bordo, Michael D. & Duca, John V. & Koch, Christoffer, 2016. "Economic policy uncertainty and the credit channel: Aggregate and bank level U.S. evidence over several decades," Journal of Financial Stability, Elsevier, vol. 26(C), pages 90-106.
    8. Pavel S. Kapinos, 2021. "Monetary policy news and systemic risk at the zero lower bound," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 4932-4945, October.
    9. Isabel Gödl-Hanisch, 2023. "Bank Concentration and Monetary Policy Pass-Through," CESifo Working Paper Series 10378, CESifo.
    10. Fungáécová, Zuzana & Kerola, Eeva & Laine, Olli-Matti, 2023. "Monetary policy transmission below zero," Bank of Finland Research Discussion Papers 11/2023, Bank of Finland.
    11. Carolina Ortega Londono, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16792, Universidad EAFIT.

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    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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