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Endogenous Bank Credit and Its Link to Housing in OECD Countries

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  • Philip Arestis
  • Ana Rosa Gonzalez

Abstract

The relevant economic literature frequently focuses on the impact of credit shocks on housing prices. The doctrine of the "New Consensus Macroeconomics" completely ignores bank credit. The "Great Recession," however, has highlighted the significance of bank credit. The purpose of this contribution is to revisit this important macroeconomic variable. We propose to endogenize the volume of bank credit by paying special attention to those variables that are related to the real estate market, which can be considered key to the evolution of bank credit. Our theoretical hypothesis is tested by means of a sample of 15 Organisation for Economic Co-operation and Development (OECD) economies from 1970 to 2011. We apply the cointegration technique for the latter purpose, which permits the modeling of the long-run equilibrium relationship and the dynamics of the short run, along with an error-correction term.

Suggested Citation

  • Philip Arestis & Ana Rosa Gonzalez, 2013. "Endogenous Bank Credit and Its Link to Housing in OECD Countries," Economics Working Paper Archive wp_750, Levy Economics Institute.
  • Handle: RePEc:lev:wrkpap:wp_750
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    References listed on IDEAS

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    Cited by:

    1. Petar Peshev, 2014. "Credit dynamics in Central and Eastern Europe," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 37-58,59-79.

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    More about this item

    Keywords

    Bank Credit; Collateral Channel; Housing Market; OECD Countries; Empirical Modeling;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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