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Determinants of lending activity in the Euro area

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  • Stefan Behrendt

    () (School of Economics and Business Administration, Friedrich Schiller University Jena)

Abstract

Empirical estimations of the drivers for loan extension mainly apply the outstanding stock of bank credit as the dependent variable. This paper picks up the critique of Behrendt (2016), namely that such estimations may lead to misleading results, as the change of the stock is not only driven by extended loans, but also by repayments, write-downs, revaluations and securitisation activity. This paper specifically applies a variable of new credit extensions for eight Euro area countries in a simultaneous equation panel model to evaluate potential determinants for credit extension, and compares the findings with a conventional specification using the outstanding stock. It is found that the new lending variable performs exceedingly better in respect to the underlying theory than the stock variable. This result has vast implications for the conduct of monetary policy while looking at credit trends. As most determinants have different coefficients, not only by magnitude, but also by significance and sign, central banks might react in a different way to changing trends in lending when looking at the stock variable rather than the underlying credit extension.

Suggested Citation

  • Stefan Behrendt, 2016. "Determinants of lending activity in the Euro area," Jena Economic Research Papers 2016-017, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2016-017
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    References listed on IDEAS

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    1. Lown, Cara & Morgan, Donald P., 2006. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
    2. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    3. Sanderson, Eleanor & Windmeijer, Frank, 2016. "A weak instrument F-test in linear IV models with multiple endogenous variables," Journal of Econometrics, Elsevier, vol. 190(2), pages 212-221.
    4. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    5. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    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. Gabriel Jimenez & Steven Ongena & Jose-Luis Peydro & Jesus Saurina, 2012. "Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications," American Economic Review, American Economic Association, vol. 102(5), pages 2301-2326, August.
    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. Stefan Behrendt, 2016. "Taking Stock - Credit Measures in Monetary Transmission," Jena Economic Research Papers 2016-002, Friedrich-Schiller-University Jena.
    10. Matteo Ciccarelli & Angela Maddaloni & Jose Luis Peydro, 2015. "Trusting the Bankers: A New Look at the Credit Channel of Monetary Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 979-1002, October.
    11. Peek, Joe & Rosengren, Eric, 1995. "The Capital Crunch: Neither a Borrower nor a Lender Be," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 625-638, August.
    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. Carpenter, Seth & Demiralp, Selva & Eisenschmidt, Jens, 2014. "The effectiveness of non-standard monetary policy in addressing liquidity risk during the financial crisis: The experiences of the Federal Reserve and the European Central Bank," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 107-129.
    14. Mauricio Calani C. & Pablo García S. & Daniel Oda Z., 2010. "Supply and Demand Identification in the Credit Market," Working Papers Central Bank of Chile 571, Central Bank of Chile.
    15. Kashyap, Anil K & Stein, Jeremy C & Wilcox, David W, 1996. "Monetary Policy and Credit Conditions: Evidence from the Composition of External Finance: Reply," American Economic Review, American Economic Association, vol. 86(1), pages 310-314, March.
    16. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    17. Angela Maddaloni & Jose-Luis Peydro, 2011. "Bank Risk-taking, Securitization, Supervision, and Low Interest Rates: Evidence from the Euro-area and the U.S. Lending Standards," Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 2121-2165.
    18. Kishan, Ruby P & Opiela, Timothy P, 2000. "Bank Size, Bank Capital, and the Bank Lending Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(1), pages 121-141, February.
    19. Jimenez Porras, G. & Ongena, S. & Peydro, J.L. & Saurina, J., 2012. "Credit Supply versus Demand : Bank and Firm Balance-Sheet Channels in Good and Crisis Times," Discussion Paper 2012-005, Tilburg University, Center for Economic Research.
    20. Greetje Everaert & Natasha X Che & Nan Geng & Bertrand Gruss & Gregorio Impavido & Yinqiu Lu & Christian Saborowski & Jérôme Vandenbussche & Li Zeng, 2015. "Does Supply or Demand Drive the Credit Cycle? Evidence from Central, Eastern, and Southeastern Europe," IMF Working Papers 15/15, International Monetary Fund.
    21. Morgan, Donald P, 1998. "The Credit Effects of Monetary Policy: Evidence Using Loan Commitments," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(1), pages 102-118, February.
    22. Ivashina, Victoria & Scharfstein, David, 2010. "Bank lending during the financial crisis of 2008," Journal of Financial Economics, Elsevier, vol. 97(3), pages 319-338, September.
    23. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    24. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    25. Michael Brei & Leonardo Gambacorta, 2014. "The leverage ratio over the cycle," BIS Working Papers 471, Bank for International Settlements.
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    Cited by:

    1. Markus Pasche, 2018. "Money as an Inflationary Phenomenon," Jena Economic Research Papers 2018-011, Friedrich-Schiller-University Jena.

    More about this item

    Keywords

    credit channel; monetary transmission; bank lending;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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