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The Knotty Interplay Between Credit and Housing

Author

Listed:
  • Mihnea Constantinescu

    (Bank of Lithuania)

  • Povilas Lastauskas

    (Bank of Lithuania and Faculty of Economics, Vilnius University)

Abstract
We employ the recent Jord? et al. (2016) and Knoll et al. (2017) datasets to investigate the long-run relationship between house prices and credit volume, allowing for interest rate, real exchange rate and real gross domestic product (GDP). We refine the analysis using more recent data at the quarterly-level to define relevant co-integrating relationships across a number of European economies. Housing, GDP and credit cross-sectional averages are included in the analysis to detect potential spill-over effects. Empirical results indicate cross-country heterogeneities and an uneven feedback mechanism between credit and housing - the full loop is established only for several countries in the dataset. Important results relate to the statistical properties of the housing time series. Grouping countries for panel-like econometric exercises may lead to spurious regression results, poor inference and misleading policy implications. Short-run dynamics, compared to the long-run may often lead to contradicting policy advice if the order of integration of the house price series is not properly accounted for. Accounting for spatial patterns of house prices which cannot be attributed to global output shocks may provide useful insights into policy making.

Suggested Citation

  • Mihnea Constantinescu & Povilas Lastauskas, 2017. "The Knotty Interplay Between Credit and Housing," Bank of Lithuania Working Paper Series 45, Bank of Lithuania.
  • Handle: RePEc:lie:wpaper:45
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    References listed on IDEAS

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    Cited by:

    1. Iacovos Ioannou, 2018. "Housing Price, Credit, and Output Cycles: How Domestic and External Shocks Impact Lithuania's Credit," IMF Working Papers 2018/160, International Monetary Fund.

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    More about this item

    Keywords

    house prices; credit; exogeneity and long-run relationships; policy; spill-overs;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • 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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