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Modelling the housing market in OECD countries

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  • P. Arestis
  • A.R. Gonz�lez

Abstract

Recent episodes of housing bubbles, which occurred in several economies after the burst of the United States housing market, suggest studying the evolution of housing prices from a global perspective. We utilise a theoretical model for the purposes of this contribution, which identifies the main drivers of housing price appreciation, such as, for example, income, residential investment, financial elements, fiscal policy and demographics. In a second stage of our analysis, we test our theoretical hypothesis by means of a sample of 18 OECD countries from 1970 to 2011. We employ the vector error correction econometric technique in terms of our empirical analysis, which permits us to model the long-run equilibrium relationship and the short-run dynamics, which also helps to account for endogeneity and reverse causality problems.

Suggested Citation

  • P. Arestis & A.R. Gonz�lez, 2014. "Modelling the housing market in OECD countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(2), pages 131-153, March.
    • Handle: RePEc:taf:irapec:v:28:y:2014:i:2:p:131-153
    DOI: 10.1080/02692171.2013.828683
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    Cited by:

    1. Giordano, Claire & Marinucci, Marco & Silvestrini, Andrea, 2019. "The macro determinants of firms' and households' investment: Evidence from Italy," Economic Modelling, Elsevier, vol. 78(C), pages 118-133.
    2. Petros Sivitanides, 2015. "Macroeconomic Influences on Cyprus House Prices: 2006Q1- 2014Q2," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 9(1), pages 3-22, June.
    3. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "U.S. House Prices by Census Division: Persistence, Trends and Structural Breaks," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(1), pages 79-90, May.
    4. Giorgio Canarella & Luis Gil-Alana & Rangan Gupta & Stephen M Miller, 2021. "Persistence and cyclical dynamics of US and UK house prices: Evidence from over 150 years of data," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 53-72, January.
    5. Clancy, Daragh & Merola, Rossana, 2017. "Countercyclical capital rules for small open economies," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 332-351.
    6. Mustafa Ozan Yıldırım & Mehmet İvrendi, 2021. "Turkish Housing Market Dynamics: An Estimated DSGE Model," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(2), pages 238-267, May.
    7. Dieckelmann, Daniel & Hempell, Hannah S. & Jarmulska, Barbara & Lang, Jan Hannes & Rusnák, Marek, 2023. "House prices and ultra-low interest rates: exploring the non-linear nexus," Working Paper Series 2789, European Central Bank.
    8. Sara Ferreira Filipe, 2018. "Housing prices and mortgage credit in Luxembourg," BCL working papers 117, Central Bank of Luxembourg.

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    More about this item

    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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