Estimating Estate-Specific Price-to-Rent Ratios in Shanghai and Shenzhen: A Bayesian Approach
AbstractThe price-to-rent ratio, a common yardstick for the value of housing, is difficult to estimate when rental properties are poor substitutes of owner-occupied homes. In this study, we estimate price-to-rent ratios of residential properties in two major cities in China, where urban high-rises (estates) comprise both rental and owner-occupied units. We conduct Bayesian inference on estate-specific parameters by using information of rental units to elicit priors of the unobserved rents of units sold in the same estate. We find that the price-to-rent ratios tend to be higher for low-end properties. We discuss economic explanations for the phenomenon and the policy implications.
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Bibliographic InfoArticle provided by Asian Real Estate Society in its journal International Real Estate Review.
Volume (Year): 14 (2011)
Issue (Month): 2 ()
Contact details of provider:
Postal: Asia Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA
Web page: http://www.asres.org/
Postal: Asian Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA
Other versions of this item:
- Shawn Ni & Jie Chen, 2010. "Estimating Estate-Specific Price-to-Rent Ratios in Shanghai and Shenzhen: A Bayesian Approach," Working Papers 1015, Department of Economics, University of Missouri.
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
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NBER Working Papers
11643, National Bureau of Economic Research, Inc.
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- Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing high house prices: bubbles, fundamentals, and misperceptions," Staff Reports 218, Federal Reserve Bank of New York.
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