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The Nonlinear House Price Adjustment Process in Developed and Transition Countries

Author

Listed:
  • Petra Posedel

    (Graduate School of Economics and Business, Zagreb)

  • Maruska Vizek

    (The Institute of Economics, Zagreb)

Abstract
We use a nonlinear framework in order to explore house price determinants and their adjustment properties. We test for threshold cointegration using a sample of four developed countries (the United States, the United Kingdom, Spain, and Ireland) and four transition countries (Bulgaria, Croatia, the Czech Republic, and Estonia). All eight countries experienced an intensive increase in house prices during the 1990s and the first half of this decade. In addition to testing for nonlinearities, we focus on house price determinants in these four transition countries of Central and Eastern Europe. An asymmetric house price adjustment is present in all transition countries and the U.S., while no threshold effects are detected in developed European countries. In a threshold error correction framework, house prices are aligned with the fundamentals; but house price persistence coupled with a slow and asymmetric house price adjustment process might have facilitated the house price boom in transition countries and the U.S.

Suggested Citation

  • Petra Posedel & Maruska Vizek, 2010. "The Nonlinear House Price Adjustment Process in Developed and Transition Countries," Working Papers 1001, The Institute of Economics, Zagreb.
    • Handle: RePEc:iez:wpaper:1001
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    as
    1. Petra Posedel & Maruska Vizek, 2009. "House price determinants in transition and EU-15 countries," Post-Communist Economies, Taylor & Francis Journals, vol. 21(3), pages 327-343.
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    Cited by:

    1. Adrienne Mack & Enrique Martínez García, 2011. "A cross-country quarterly database of real house prices: a methodological note," Globalization Institute Working Papers 99, Federal Reserve Bank of Dallas.
    2. Amina Ahec �onje & Anita Ceh Casni & Maru�ka Vizek, 2012. "Does housing wealth affect private consumption in European post-transition countries? Evidence from linear and threshold models," Post-Communist Economies, Taylor & Francis Journals, vol. 24(1), pages 73-85, June.
    3. repec:prg:jnlpep:v:preprint:id:560:p:1-15 is not listed on IDEAS
    4. Ponomarenko, Alexey, 2013. "Early warning indicators of asset price boom/bust cycles in emerging markets," Emerging Markets Review, Elsevier, vol. 15(C), pages 92-106.
    5. Jabed H. Tomal & Hafizur Rahman, 2021. "A Bayesian piecewise linear model for the detection of breakpoints in housing prices," METRON, Springer;Sapienza Università di Roma, vol. 79(3), pages 361-381, December.
    6. Maryam Akbari Nasiri, 2020. "How Long Do Housing Cycles Last? A Duration Analysis For Emerging Economies," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(2), pages 179-200, July.
    7. Mato Njavro & Petra Posedel & Maruška Vizek, 2016. "Regime Switching Behaviour of Real Estate and Equity Prices in Emerging Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(4), pages 396-410.
    8. Anita CEH CASNI & Maruska VIZEK, 2014. "Interactions between Real Estate and Equity Markets: an Investigation of Linkages in Developed and Emerging Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(2), pages 100-119, March.
    9. Časni Anita Čeh & Filić Josipa, 2022. "Tourism housing price nexus," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 8(2), pages 53-65, December.
    10. Ksenija Dumičić & Anita Časni & Irena Palić, 2013. "The short-run and long-run behaviour of personal consumption in Croatia," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(1), pages 3-11, June.
    11. Ahec Šonje, Amina & Čeh Časni, Anita & Vizek, Maruška, 2014. "The effect of housing and stock market wealth on consumption in emerging and developed countries," Economic Systems, Elsevier, vol. 38(3), pages 433-450.
    12. Lewis Vincent & Bruce Morley, 2014. "Assymetric Adjustment and Intervention in the UK Housing Market," Department of Economics Working Papers 29/14, University of Bath, Department of Economics.
    13. Yang Tang & Kairong Hong & Yucheng Zou & Yanwei Zhang, 2021. "Impact of Emotional Perceived Value on the Uncertain Evolution of the Housing Bubble," Mathematics, MDPI, vol. 9(13), pages 1-23, July.
    14. Nan-Kuang Chen & Han-Liang Cheng & Ching-Sheng Mao, 2014. "Identifying and forecasting house prices: a macroeconomic perspective," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2105-2120, December.
    15. Luis A. Gil-Alana & Goodness C. Aye & Rangan Gupta, 2012. "Testing for Persistence with Breaks and Outliers in South African House Prices," Working Papers 201233, University of Pretoria, Department of Economics.
    16. Marina Tkalec & Maruska Vizek, 2014. "Real estate boom and export performance bust in Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 32(1), pages 11-34.
    17. Mei-Se Chien, 2013. "The Non-linear Ripple Effect of Housing Prices in Taiwan: A Smooth Transition Regressive Model," ERES eres2013_51, European Real Estate Society (ERES).

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    More about this item

    Keywords

    house prices; threshold cointegration; asymmetric adjustment; transition;
    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
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • 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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