IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/200510.html
   My bibliography  Save this paper

Bank-Lending Channel in South Africa: Bank-Level Dynamic Panel Date Analysis

Author

Listed:
  • Moses M. Sichei

    (Department of Economics, University of Pretoria)

Abstract

The paper investigates the bank-lending channel (BLC) of monetary policy in South Africa using quarterly bank-level data for the period 2000Q1-2004Q4. Capital adequacy and bank size are used as indicators for information problems faced by banks when they look for external finance. Utilising dynamic panel estimation methods the study shows that BLC operates in South Africa. The finding has some policy implications. First, there is need to coordinate monetary policy with financial innovations and prudential banking regulations. Second, the overall effects of monetary policy pursued by the South African Reserve Bank cannot be completely characterised by interest rates only.

Suggested Citation

  • Moses M. Sichei, 2005. "Bank-Lending Channel in South Africa: Bank-Level Dynamic Panel Date Analysis," Working Papers 200510, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:200510
    as

    Download full text from publisher

    File URL: http://www.up.ac.za/media/shared/61/WP/wp-10.zp39543.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    3. Loupias, C. & Savignac, F. & Sevestre, P., 2002. "Is There a Bank lending Channel in France? Evidence From Bank Panel Data," Working papers 92, Banque de France.
    4. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    5. Anil K. Kashyap & Jeremy C. Stein, 1994. "Monetary Policy and Bank Lending," NBER Chapters, in: Monetary Policy, pages 221-261, National Bureau of Economic Research, Inc.
    6. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    7. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    8. Jeremy C. Stein & Anil K. Kashyap, 2000. "What Do a Million Observations on Banks Say about the Transmission of Monetary Policy?," American Economic Review, American Economic Association, vol. 90(3), pages 407-428, June.
    9. Huang, Zhangkai, 2003. "Evidence of a bank lending channel in the UK," Journal of Banking & Finance, Elsevier, vol. 27(3), pages 491-510, March.
    10. Hugo Kruiniger, 2000. "GMM Estimation of Dynamic Panel Data Models with Persistent Data," Working Papers 428, Queen Mary University of London, School of Economics and Finance.
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, vol. 78(2), pages 435-439, May.
    13. Frederic S. Mishkin, 1995. "Symposium on the Monetary Transmission Mechanism," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 3-10, Fall.
    14. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    15. Allan H. Meltzer, 1995. "Monetary, Credit and (Other) Transmission Processes: A Monetarist Perspective," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 49-72, Fall.
    16. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    17. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:idn:jimfjn:v:4:y:2018:i:2e:p:1-14 is not listed on IDEAS
    2. Rangan Gupta & Josine Uwilingiye, 2010. "Dynamic Time Inconsistency And The South African Reserve Bank," South African Journal of Economics, Economic Society of South Africa, vol. 78(1), pages 76-88, March.
    3. Yu Hsing & Wen-jen Hsieh, 2014. "Test of the Bank Lending Channel for a BRICS Country," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(8), pages 1016-1023, August.
    4. Zuriyati Ahmad & Abdul Ghafar Ismail, 2018. "Alternative Of Monetary Policy Indicator: Panel Data Analysis From Islamic Banks In Malaysia," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 4(2), pages 279-292, November.
    5. Matousek, Roman & Solomon, Helen, 2018. "Bank lending channel and monetary policy in Nigeria," Research in International Business and Finance, Elsevier, vol. 45(C), pages 467-474.
    6. Asrat Tsegaye & Syden Mishi, 2012. "The Role of Banks in Monetary Policy Transmission in South Africa," Working Papers 295, Economic Research Southern Africa.

    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. 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.
    2. Abdul Karim, Zulkefly & Wan Ngah, Wan Azman Saini & Abdul Karim, Bakri, 2010. "Bank lending channel of monetary policy: dynamic panel data evidence from Malaysia," MPRA Paper 26157, University Library of Munich, Germany.
    3. Christian Merkl & Stephanie Stolz, 2009. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2013-2024.
    4. Erdinç, Didar, 2013. "Monetary Transmission and Bank Lending Channel under the Currency Board: The Case of Bulgaria, 1999-2010," MPRA Paper 111539, University Library of Munich, Germany.
    5. Cândida Ferreira, 2009. "European Integration and the Credit Channel Transmission of Monetary Policy," Working Papers Department of Economics 2009/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    6. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    7. Konstantins Benkovskis, 2008. "Is there a Bank Lending Channel of Monetary Policy in Latvia? Evidence from Bank Level Data," Working Papers 2008/01, Latvijas Banka.
    8. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    9. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2016. "Search, Liquidity, and the Dynamics of House Prices and Construction: Corrigendum," American Economic Review, American Economic Association, vol. 106(4), pages 1214-1219, April.
    10. Beutler, Toni & Bichsel, Robert & Bruhin, Adrian & Danton, Jayson, 2020. "The impact of interest rate risk on bank lending," Journal of Banking & Finance, Elsevier, vol. 115(C).
    11. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    12. Kandrac, John, 2012. "Monetary policy and bank lending to small firms," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 741-748.
    13. Khan, Habib Hussain & Ahmad, Rubi Binti & Gee, Chan Sok, 2016. "Bank competition and monetary policy transmission through the bank lending channel: Evidence from ASEAN," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 19-39.
    14. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    15. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2020. "Finance, Institutions and Private Investment in Africa," Working Papers of the African Governance and Development Institute. 20/080, African Governance and Development Institute..
    16. Andreas Worms, 2003. "Interbank Relationships and the Credit Channel in Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(2), pages 179-198, June.
    17. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    18. Athanasenas, Athanasios L., 2010. "Credit, income, and causality: A contemporary co-integration analysis," European Journal of Operational Research, Elsevier, vol. 201(1), pages 194-205, February.
    19. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.
    20. Njangang, Henri & Asongu, Simplice A. & Tadadjeu, Sosson & Nounamo, Yann & Kamguia, Brice, 2022. "Governance in mitigating the effect of oil wealth on wealth inequality: A cross-country analysis of policy thresholds," Resources Policy, Elsevier, vol. 76(C).

    More about this item

    Keywords

    Monetary policy transmission; Bank-lending channel; Dynamic panel; GMM estimator;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • 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

    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:pre:wpaper:200510. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.