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What account for the differences in rent-price ratio and turnover rate? A search-and-matching approach

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  • Daisy J. HUANG
  • Charles Ka Yui LEUNG
  • Chung-Yi TSE

Abstract

We build an on-the-house-search model and show analytically that the rent-to-price ratio (or rental yield) and turnover rate, which are frequently used metrics for the housing market, are jointly determined in equilibrium. We therefore adopt a simultaneous equation approach on matched sale-rental pairs in our empirical investigation, as a housing unit cannot be owner-occupied and renter-occupied at the same time. Our empirical results confirm a higher turnover rate is associated with a lower rent-to-price ratio, as predicted by the model. Furthermore, our results suggest a form of “dichotomy” in the empirical determinants of rental yield and turnover at the real-estate-development (RED) level: the demographic structure, and past return performance affect its turnover rate, while popularity, human capital environment, mortgage burden, and long run rent growth determine the rental yield. No evidence of “thick market effect” is found. The robustness of our results are established through a series of tests. In addition to these findings, our tractable search-theoretic model, a ranking of more than 130 RED in Hong Kong based on the popularity index we construct, and the estimated brand-premium for different major real estate developers may also carry independent research and practical interests.

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  • Daisy J. HUANG & Charles Ka Yui LEUNG & Chung-Yi TSE, 2017. "What account for the differences in rent-price ratio and turnover rate? A search-and-matching approach," ISER Discussion Paper 0990, Institute of Social and Economic Research, Osaka University.
  • Handle: RePEc:dpr:wpaper:0990
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    4. Wong, Siu Kei & Cheung, Ka Shing & Deng, Kuang Kuang & Chau, Kwong Wing, 2021. "Policy responses to an overheated housing market: Credit tightening versus transaction taxes," Journal of Asian Economics, Elsevier, vol. 75(C).
    5. Xin He & Zhenguo Lin & Yingchun Liu & Michael J. Seiler, 2020. "Search Benefit in Housing Markets: An Inverted U‐Shaped Price and TOM Relation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 772-807, September.
    6. Tsai, I-Chun, 2019. "Dynamic price–volume causality in the American housing market: A signal of market conditions," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 385-400.
    7. Xiaoqi Zhang & Yanqiao Zheng & Lei Sun & Qiwen Dai, 2019. "Urban Structure, Subway Systemand Housing Price: Evidence from Beijing and Hangzhou, China," Sustainability, MDPI, vol. 11(3), pages 1-23, January.

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    • D10 - Microeconomics - - Household Behavior - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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