IDEAS home Printed from https://ideas.repec.org/p/nbp/nbpmis/359.html
   My bibliography  Save this paper

Updated estimates of the role of the bank lending channel in monetary policy transmission in Poland

Author

Listed:
  • Mariusz Kapuściński

    (Narodowy Bank Polski)

Abstract

In this research note I provide updated estimates of the role of the bank lending channel in monetary policy transmission in Poland. Previous estimates were described in Kapuściński (2017). The bank lending channel is defined following Disyatat (2011), as the amplification of the effect of monetary policy on bank lending, due to its impact on bank balance sheet strength. As before, the estimates are based on counterfactual impulse response functions from panel vector autoregressive models. Differences include not only the longer time series dimension of available data, but also enhancements in terms of the number of banks covered, data processing and coefficient uncertainty coverage. I find the bank lending channel to operate differently in cooperative and commercial banks. Nevertheless, estimates for the latter, significantly larger part of the banking sector are broadly in line with previous ones. 18 percent of a decline in bank lending after the tightening of monetary policy can be attributed to the bank lending channel.

Suggested Citation

  • Mariusz Kapuściński, 2023. "Updated estimates of the role of the bank lending channel in monetary policy transmission in Poland," NBP Working Papers 359, Narodowy Bank Polski.
  • Handle: RePEc:nbp:nbpmis:359
    as

    Download full text from publisher

    File URL: https://static.nbp.pl/publikacje/materialy-i-studia/359_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sigmund, Michael & Ferstl, Robert, 2021. "Panel vector autoregression in R with the package panelvar," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 693-720.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ma, Cong & Cheok, Mui Yee & Chok, Nyen Vui, 2023. "Economic recovery through multisector management resources in small and medium businesses in China," Resources Policy, Elsevier, vol. 80(C).
    2. Zhang, Yonggang & Hyder, Mansoor & Baloch, Zulfiqar Ali & Qian, Chong & Berk Saydaliev, Hayot, 2022. "Nexus between oil price volatility and inflation: Mediating nexus from exchange rate," Resources Policy, Elsevier, vol. 79(C).
    3. Nerantzidis, Michail & Tzeremes, Panayiotis & Koutoupis, Andreas & Pourgias, Apostolos, 2022. "Exploring the black box: Board gender diversity and corporate social performance," Finance Research Letters, Elsevier, vol. 48(C).
    4. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Pedro H. Albuquerque & Prasad R. Vemala, 2024. "Femicide Rates in Mexican Cities along the US-Mexico Border," Journal of Borderlands Studies, Taylor & Francis Journals, vol. 39(5), pages 897-911, September.
    6. Christos Kollias & Panayiotis Tzeremes, 2022. "Militarization, investment, and economic growth 1995–2019," Economics of Peace and Security Journal, EPS Publishing, vol. 17(1), pages 17-29, April.
    7. Kim-Hung Pho & Ngoc-Hien Nguyen & Huu-Nhan Huynh & Wing-Keung Wong, 2021. "A Detailed Guide on How to Use Statistical Software R for Text Mining," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 92-110, September.
    8. Dazhong Wu & Michael Tannen & Julius Anyu & Sergey Ivanov & Feng Xu, 2023. "Contract manufacturing, market competition, and labor productivity in US manufacturing industries," Operations Management Research, Springer, vol. 16(1), pages 377-390, March.
    9. Maximilian Zurek, 2022. "Real Estate Markets and Lending: Does Local Growth Fuel Risk?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 62(1), pages 27-59, October.

    More about this item

    Keywords

    transmission mechanism of monetary policy; bank lending channel.;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbp:nbpmis:359. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jakub Growiec (email available below). General contact details of provider: https://edirc.repec.org/data/nbpgvpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.