IDEAS home Printed from https://ideas.repec.org/p/use/tkiwps/1702.html
   My bibliography  Save this paper

Money and Credit Overhang in the Euro Area

Author

Listed:
  • J. Liu
  • C.J.M. Kool

Abstract

In this paper, we employ panel co-integration techniques to identify and estimate homogeneous long-run equilibrium relations for money and credit for 10 euro area countries. Over the period 1999-2013, we do find evidence of such long-run relations when accounting for a structural break in 2008. While money and credit follow similar long run trends, the short and medium term relation between money and credit overhang is weak, throwing doubt on the hypothesis that money creating potential drives credit booms. Especially in current account deficit countries, we observe a sizable build-up of credit overhang prior to 2008. Positive (negative) credit overhang is strongly related to net foreign borrowing (lending).

Suggested Citation

  • J. Liu & C.J.M. Kool, 2017. "Money and Credit Overhang in the Euro Area," Working Papers 17-02, Utrecht School of Economics.
  • Handle: RePEc:use:tkiwps:1702
    as

    Download full text from publisher

    File URL: https://dspace.library.uu.nl/bitstream/handle/1874/348628/17_02.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Philip R. Lane & Peter McQuade, 2014. "Domestic Credit Growth and International Capital Flows," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(1), pages 218-252, January.
    2. Dreger, Christian & Wolters, Jürgen, 2010. "M3 Money Demand and Excess Liquidity in the Euro Area," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 459-472.
    3. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    4. De Santis, Roberto A. & Favero, Carlo A. & Roffia, Barbara, 2013. "Euro area money demand and international portfolio allocation: A contribution to assessing risks to price stability," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 377-404.
    5. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "Sovereigns Versus Banks: Credit, Crises, And Consequences," Journal of the European Economic Association, European Economic Association, vol. 14(1), pages 45-79, February.
    6. Kai Carstensen & Jan Hagen & Oliver Hossfeld & Abelardo Salazar Neaves, 2009. "Money Demand Stability And Inflation Prediction In The Four Largest Emu Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(1), pages 73-93, February.
    7. Carstensen, Kai, 2006. "Stock Market Downswing and the Stability of European Monetary Union Money Demand," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 395-402, October.
    8. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(03), pages 597-625, June.
    9. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    10. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    11. Boris Hofmann, 2004. "The Determinants of Bank Credit in Industrialized Countries: Do Property Prices Matter?," International Finance, Wiley Blackwell, vol. 7(2), pages 203-234, July.
    12. Setzer, Ralph & van den Noord, Paul & Wolff, Guntram B., 2011. "Heterogeneity in money holdings across euro area countries: The role of housing," European Journal of Political Economy, Elsevier, vol. 27(4), pages 764-780.
    13. Claus Brand & Nuno Cassola, 2004. "A money demand system for euro area M3," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 817-838.
    14. Neil R. Ericsson, 1998. "Empirical modeling of money demand," Empirical Economics, Springer, vol. 23(3), pages 295-315.
    15. Chihwa Kao & Min-Hsien Chiang, 1997. "On the Estimation and Inference of a Cointegrated Regression in Panel Data," Econometrics 9703001, EconWPA.
    16. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    17. Charles Goodhart & Boris Hofmann, 2008. "House prices, money, credit, and the macroeconomy," Oxford Review of Economic Policy, Oxford University Press, vol. 24(1), pages 180-205, spring.
    18. Ralph Setzer & Guntram Wolff, 2013. "Money demand in the euro area: new insights from disaggregated data," International Economics and Economic Policy, Springer, vol. 10(2), pages 297-315, June.
    19. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    20. 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.
    21. Luciano Gutierrez, 2002. "On the power of panel cointegration tests: A Monte Carlo comparison. Economics Letters, 80(1):105-111," Econometrics 0211003, EconWPA, revised 20 May 2003.
    22. Dreger, Christian & Wolters, Jürgen, 2014. "Money demand and the role of monetary indicators in forecasting euro area inflation," International Journal of Forecasting, Elsevier, vol. 30(2), pages 303-312.
    23. Unger, Robert, 2017. "Asymmetric credit growth and current account imbalances in the euro area," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 435-451.
    24. A. Calza & C. Gartner & J. Sousa, 2003. "Modelling the demand for loans to the private sector in the euro area," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 107-117.
    25. Laidler, David, 1984. "The 'Buffer Stock' Notion in Monetary Economics," Economic Journal, Royal Economic Society, vol. 94(376a), pages 17-34, Supplemen.
    26. Dieter Nautz & Ulrike Rondorf, 2011. "The (in)stability of money demand in the euro area: lessons from a cross-country analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 38(4), pages 539-553, November.
    27. Claudio Borio, 2014. "The financial cycle and macroeconomics: what have we learned and what are the policy implications?," Chapters,in: Financial Cycles and the Real Economy, chapter 2, pages 10-35 Edward Elgar Publishing.
    28. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    29. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    30. McLeay, Michael & Radia, Amar & Thomas, Ryland, 2014. "Money creation in the modern economy," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 14-27.
    31. Sanvi Avouyi-Dovi & Françoise Drumetz & Jean-Guillaume Sahuc, 2012. "The Money Demand Function For The Euro Area: Some Empirical Evidence," Bulletin of Economic Research, Wiley Blackwell, vol. 64(3), pages 377-392, July.
    32. Gutierrez, Luciano, 2003. "On the power of panel cointegration tests: a Monte Carlo comparison," Economics Letters, Elsevier, vol. 80(1), pages 105-111, July.
    33. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long-run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    34. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    35. Joaquim Vieira Ferreira Levy & Alessandro Calza & Dieter Gerdesmeier, 2001. "Euro Area Money Demand; Measuring the Opportunity Costs Appropriately," IMF Working Papers 01/179, International Monetary Fund.
    36. 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)

    More about this item

    Keywords

    macro-economic imbalances; net foreign credit; Panel co-integration;

    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:use:tkiwps:1702. 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: (Marina Muilwijk). General contact details of provider: http://edirc.repec.org/data/eiruunl.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.