IDEAS home Printed from https://ideas.repec.org/p/cpb/discus/320.html
   My bibliography  Save this paper

Credit Supply Shocks in the Netherlands

Author

Listed:
  • Adam Elbourne

    () (CPB Netherlands Bureau for Economic Policy Analysis)

  • Fabio Duchi

    (CPB Netherlands Bureau for Economic Policy Analysis)

Abstract

This study looks at the effects of credit supply shocks in the Netherlands and provides estimates of how important credit supply disturbances have been for explaining the recent disappointing economic growth. We find that domestic credit supply shocks can account for about half of the below trend growth in 2009 but that they have played very little role from the end of 2012 until the end of our sample period in 2014. The banking crisis in 2008 has been followed by a sustained period of low growth. Whilst this is a common finding after a banking crisis, many other things have happened beside problems with the banks. For example, the collapse of world trade, the euro crisis and government austerity. How much of our recent disappointing economic performance is due to contractions in credit supply and how much to these other factors? To answer this we use a vector auto regression (VAR) identified with sign and zero restrictions on data from 1998 to 2014. We start by looking at what a contraction in credit supply does to the macro economy before estimating when credit supply shocks hit the Netherlands and how big they were. The set of restrictions we use relies on supply and demand shocks pushing prices and quantities in different directions. An adverse credit supply shock raises the price of credit but contracts the quantity of loans. In contrast, an adverse loan demand shock decreases both the price and the quantity. With enough of these restrictions we can use the model to back out a time series of the size and timing of the shocks that hit the economy. We find that a typical credit supply shock depresses inflation, GDP growth and lending growth. Interestingly, we find evidence across all of the specifications we estimate that lending growth recovers more quickly than GDP growth, which suggests that firms and households can, with time, switch some of their external finance needs to other sources of credit. We also look at investments and consumption separately, since there have been many reports of households and small firms being unable to obtain credit. We find that investments are hit considerably harder than consumption but that they recover much more quickly.

Suggested Citation

  • Adam Elbourne & Fabio Duchi, 2016. "Credit Supply Shocks in the Netherlands," CPB Discussion Paper 320, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:discus:320
    as

    Download full text from publisher

    File URL: https://www.cpb.nl/sites/default/files/publicaties/download/cpb-discussion-paper-320-credit-supply-shocks-netherlands.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Coen N. Teulings & Nikolay Zubanov, 2014. "Is Economic Recovery A Myth? Robust Estimation Of Impulse Responses," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 497-514, April.
    2. Valerie Cerra & Sweta Chaman Saxena, 2008. "Growth Dynamics: The Myth of Economic Recovery," American Economic Review, American Economic Association, vol. 98(1), pages 439-457, March.
    3. Cappiello, Lorenzo & Kadareja, Arjan & Kok, Christoffer & Protopapa, Marco, 2010. "Do bank loans and credit standards have an effect on output? A panel approach for the euro area," Working Paper Series 1150, European Central Bank.
    4. Adrian, Tobias & Shin, Hyun Song, 2010. "Liquidity and leverage," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 418-437, July.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    6. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    7. Barnett, Alina & Thomas, Ryland, 2013. "Has weak lending and activity in the United Kingdom been driven by credit supply shocks?," Bank of England working papers 482, Bank of England.
    8. Andrew Mountford & Harald Uhlig, 2009. "What are the effects of fiscal policy shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
    9. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    10. Tobias Adrian & Hyun Song Shin, 2009. "Money, Liquidity, and Monetary Policy," American Economic Review, American Economic Association, vol. 99(2), pages 600-605, May.
    11. Sims, S.A., 2012. "Gaps in the institutional structure of the euro area," Financial Stability Review, Banque de France, issue 16, pages 217-223, April.
    12. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "The Aftermath of Financial Crises," American Economic Review, American Economic Association, vol. 99(2), pages 466-472, May.
    13. Ashoka Mody & Damiano Sandri, 2012. "The eurozone crisis: how banks and sovereigns came to be joined at the hip," Economic Policy, CEPR;CES;MSH, vol. 27(70), pages 199-230, April.
    14. Juan F. Rubio-Ramírez & Jonas E. Arias & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 1338, BBVA Bank, Economic Research Department.
    15. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    16. Ramey, Valerie, 1993. "How important is the credit channel in the transmission of monetary policy?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 1-45, December.
    17. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    18. 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.
    19. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    20. repec:wly:japmet:v:32:y:2017:i:4:p:764-782 is not listed on IDEAS
    21. Gert Peersman, 2011. "Macroeconomic consequences of different types of credit market disturbances and non-conventional monetary policy in the euro area," 2011 Meeting Papers 333, Society for Economic Dynamics.
    22. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2012. "Loan supply shocks during the financial crisis: Evidence for the Euro area," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 569-592.
    23. Michiel Bijlsma & Andrei Dubovik & Bas Straathof, 2013. "How Large was the Credit Crunch in the OECD?," CPB Discussion Paper 232, CPB Netherlands Bureau for Economic Policy Analysis.
    24. Gert Peersman & Roland Straub, 2009. "Technology Shocks And Robust Sign Restrictions In A Euro Area Svar," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 727-750, August.
    25. Del Giovane, Paolo & Eramo, Ginette & Nobili, Andrea, 2011. "Disentangling demand and supply in credit developments: A survey-based analysis for Italy," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2719-2732, October.
    26. Blaes, Barno, 2011. "Bank-related loan supply factors during the crisis: An analysis based on the German bank lending survey," Discussion Paper Series 1: Economic Studies 2011,31, Deutsche Bundesbank.
    27. Jean‐Claude Trichet, 2010. "State of the Union: The Financial Crisis and the ECB's Response between 2007 and 2009," Journal of Common Market Studies, Wiley Blackwell, vol. 48(s1), pages 7-19, September.
    28. Daniel F. Waggoner & Juan F. Rubio-Ramirez & Jonas E. Arias, 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," International Finance Discussion Papers 1100, Board of Governors of the Federal Reserve System (U.S.), revised 02 Apr 2014.
    29. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    30. Paustian Matthias, 2007. "Assessing Sign Restrictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-33, August.
    31. 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.
    32. Peter Broer & Jürgen Antony, 2010. "Linkages between the Financial and the Real Sector of the Economy: A Literature Survey," CPB Document 216, CPB Netherlands Bureau for Economic Policy Analysis.
    33. de Bondt, Gabe & Maddaloni, Angela & Peydró, José-Luis & Scopel, Silvia, 2010. "The euro area Bank Lending Survey matters: empirical evidence for credit and output growth," Working Paper Series 1160, European Central Bank.
    34. Karen Dynan, 2012. "Is a Household Debt Overhang Holding Back Consumption," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 299-362.
    35. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    36. Karen Dynan, 2012. "Is a Household Debt Overhang Holding Back Consumption," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 299-362.
    37. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and Banking in a DSGE Model of the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 107-141, September.
    38. Tobias Adrian & Emanuel Moench & Hyun Song Shin, 2010. "Macro Risk Premium and Intermediary Balance Sheet Quantities," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 58(1), pages 179-207, August.
    39. Luca Gambetti & Alberto Musso, 2017. "Loan Supply Shocks and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 764-782, June.
    40. Xavier Freixas & Jean-Charles Rochet, 2008. "Microeconomics of Banking, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262062704.
    41. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2011. "International transmission of shocks: a time-varying factor-augmented VAR approach to the open economy," Bank of England working papers 425, Bank of England.
    42. Nancy van Beers & Michiel Bijlsma & Remco Mocking, 2015. "House Price Shocks and Household Savings: evidence from Dutch administrative data," CPB Discussion Paper 299, CPB Netherlands Bureau for Economic Policy Analysis.
    43. Altavilla, Carlo & Pariès, Matthieu Darracq & Nicoletti, Giulio, 2019. "Loan supply, credit markets and the euro area financial crisis," Journal of Banking & Finance, Elsevier, vol. 109(C).
    44. H. Evren Damar & Reint Gropp & Adi Mordel, 2014. "Banks’ Financial Distress, Lending Supply and Consumption Expenditure," Staff Working Papers 14-7, Bank of Canada.
    45. Darracq-Paries, Matthieu & De Santis, Roberto A., 2015. "A non-standard monetary policy shock: The ECB's 3-year LTROs and the shift in credit supply," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 1-34.
    46. Angela Maddalonia & Jose-Luis Peydro, 2013. "Monetary Policy, macroprudential Policy, and Banking Stability: Evidence from the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 9(1), pages 121-169, March.
    47. Luca Benati & Thomas A. Lubik, 2014. "Sales, Inventories And Real Interest Rates: A Century Of Stylized Facts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1210-1222, November.
    48. Atif Mian & Kamalesh Rao & Amir Sufi, 2013. "Household Balance Sheets, Consumption, and the Economic Slump," The Quarterly Journal of Economics, Oxford University Press, vol. 128(4), pages 1687-1726.
    49. van der Veer, Koen J.M. & Hoeberichts, Marco M., 2016. "The level effect of bank lending standards on business lending," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 79-88.
    50. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
    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. Gabriel Rodríguez & Carlos Guevara, 2018. " The Role of Loan Supply Shocks in Pacific Alliance Countries: A TVP-VAR-SV Approach," Documentos de Trabajo / Working Papers 2018-467, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Budnik, Katarzyna & Mozzanica, Mirco Balatti & Dimitrov, Ivan & Groß, Johannes & Hansen, Ib & Kleemann, Michael & Sanna, Francesco & Sarychev, Andrei & Siņenko, Nadežda & Volk, Matjaz & Covi, Giovanni, 2019. "Macroprudential stress test of the euro area banking system JEL Classification: E37, E58, G21, G28," Occasional Paper Series 226, European Central Bank.
    3. Mandler, Martin & Scharnagl, Michael, 2019. "Bank loan supply shocks and alternative financing of non-financial corporations in the euro area," Discussion Papers 23/2019, Deutsche Bundesbank.
    4. Jorge E. Galán & Javier Mencía, 2018. "Empirical assessment of alternative structural methods for identifying cyclical systemic risk in Europe," Working Papers 1825, Banco de España;Working Papers Homepage.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G01 - Financial Economics - - General - - - Financial Crises

    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:cpb:discus:320. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/cpbgvnl.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.