The Knotty Interplay Between Credit and Housing
Mihnea Constantinescu and
No 45, Bank of Lithuania Working Paper Series from Bank of Lithuania
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.
Keywords: house prices; credit; exogeneity and long-run relationships; policy; spill-overs (search for similar items in EconPapers)
JEL-codes: C21 E51 O18 R31 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eec, nep-mac and nep-ure
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Journal Article: The knotty interplay between credit and housing (2018)
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