IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v238y2018i1p33-76n8.html
   My bibliography  Save this article

Measuring Credit Demand and Supply: A Bayesian Model with an Application to Greece (2003–2011)

Author

Listed:
  • Vouldis Angelos T.

    (European Central Bank, Frankfurt, Germany)

Abstract

Motivated by the linkage between credit and growth in the Greek economy and the deceleration of credit since the financial crisis, this paper studies the evolution of credit demand and supply in Greece during the period 2003M1–2011M3. A model of the credit market is explored which disentangles demand and supply. A Bayesian estimation methodology with data augmentation for the latent variables is proposed. The analysis is carried out separately for each type of loan (short- and long-term business loans, consumer loans and mortgages) enabling the comparative study of the credit rationing and supply constraint effects across loan categories. The results indicate that, for all loan categories, excess demand characterized the boom period. After the intensification of the debt crisis, long-term business loans, consumer loans and mortgages were constrained from the supply side, however, demand for short-term business loans has slowed down more than supply, reflecting businesses’ need for stable funding. Finally, the structural effects of the crisis are investigated. The present paper aims to contribute to the strand of literature investigating the tools to analyse credit developments by formulating an enhanced and flexible version of a model which disentangles credit demand and supply and enables the monitoring of the evolution of financial imbalances.

Suggested Citation

  • Vouldis Angelos T., 2018. "Measuring Credit Demand and Supply: A Bayesian Model with an Application to Greece (2003–2011)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(1), pages 33-76, February.
  • Handle: RePEc:jns:jbstat:v:238:y:2018:i:1:p:33-76:n:8
    DOI: 10.1515/jbnst-2017-0108
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jbnst.ahead-of-print/jbnst-2017-0108/jbnst-2017-0108.xml?format=INT
    Download Restriction: no

    File URL: https://libkey.io/10.1515/jbnst-2017-0108?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    credit rationing; bayesian methods; economic crises;
    All these keywords.

    JEL classification:

    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • 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
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:jns:jbstat:v:238:y:2018:i:1:p:33-76:n:8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.