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Does large volatility help?—stochastic population forecasting technology in explaining real estate price process

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  • Yuan Cheng
  • Xuehui Han

Abstract

This paper investigates the association between real estate demand and the volatility of population changes. In a financial liberalized housing market, the housing mortgage loan implies insurance function to homeowners through the default option. Larger expected volatilities in the population imply a higher value of the default option. When analyzing the impact of the long-term population development on housing prices, the traditional deterministic population forecasting employed by previous research provides limited credibility. By means of the newly developed stochastic population forecasting methodology and counterfactual numerical simulations, we found a huge volatility associated with long-term population forecasting. A positive correlation between the expected volatility of population changes and real estate demand is ascertained. Copyright Springer-Verlag 2013

Suggested Citation

  • Yuan Cheng & Xuehui Han, 2013. "Does large volatility help?—stochastic population forecasting technology in explaining real estate price process," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 323-356, January.
  • Handle: RePEc:spr:jopoec:v:26:y:2013:i:1:p:323-356
    DOI: 10.1007/s00148-010-0349-1
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    Cited by:

    1. Iris Claus & Les Oxley & Jie Chen & Xuehui Han, 2014. "The Evolution Of The Housing Market And Its Socioeconomic Impacts In The Post-Reform People'S Republic Of China: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 28(4), pages 652-670, September.
    2. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    3. Post, Thomas & Hanewald, Katja, 2013. "Longevity risk, subjective survival expectations, and individual saving behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 200-220.

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    More about this item

    Keywords

    Default option; Volatilities; Stochastic population forecasting; D81; D91; J11;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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