IDEAS home Printed from https://ideas.repec.org/p/umc/wpaper/1015.html
   My bibliography  Save this paper

Estimating Estate-Specific Price-to-Rent Ratios in Shanghai and Shenzhen: A Bayesian Approach

Author

Abstract

The price-to-rent ratio, a common yardstick for the value of housing, is difficult to estimatewhen rental properties are poor substitutes of owner-occupied homes. In this study weestimate price-to-rent ratios of residential properties in two major cities in China, where urbanhigh-rises (estates) comprise both rental and owner-occupied units. We conduct Bayesianinference on estate-specific parameters, using information of rental units to elicit priors of theunobserved rents of units sold in the same estate. We find that the price-to-rent ratios tendto be higher for low-end properties. We discuss economic explanations for the phenomenonand the policy implications.

Suggested Citation

  • 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.
  • Handle: RePEc:umc:wpaper:1015
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1x1lcSZpXWnQ4Q4K_uxgI6Zscgw8nVh11/view?usp=sharing
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    2. Dufour, Jean-Marie & Jasiak, Joann, 2001. "Finite Sample Limited Information Inference Methods for Structural Equations and Models with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(3), pages 815-843, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Park, Donghyun & Xiao, Qin, 2009. "Housing Prices and the Role of Speculation: The Case of Seoul," ADB Economics Working Paper Series 146, Asian Development Bank.
    2. Antonia Diaz & Maria Jose Luengo Prado, 2008. "On the User Cost and Homeownership," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 584-613, July.
    3. Sandberg, Susanne & Sui, Sui & Baum, Matthias, 2019. "Effects of prior market experiences and firm-specific resources on developed economy SMEs' export exit from emerging markets: Complementary or compensatory?," Journal of Business Research, Elsevier, vol. 98(C), pages 489-502.
    4. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    5. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    6. Begley, Jaclene & Chan, Sewin, 2018. "The effect of housing wealth shocks on work and retirement decisions," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 180-195.
    7. Ayuso, Juan & Restoy, Fernando, 2007. "House prices and rents in Spain: Does the discount factor matter?," Journal of Housing Economics, Elsevier, vol. 16(3-4), pages 291-308, November.
    8. Brian Micallef, 2016. "Property price misalignment with fundamentals in Malta," CBM Working Papers WP/03/2016, Central Bank of Malta.
    9. Wang, Peijie & Brand, Steven, 2015. "A new approach to estimating value–income ratios with income growth and time-varying yields," European Journal of Operational Research, Elsevier, vol. 242(1), pages 182-187.
    10. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
    11. David Albouy & Andrew Hanson, 2014. "Are Houses Too Big or In the Wrong Place? Tax Benefits to Housing and Inefficiencies in Location and Consumption," Tax Policy and the Economy, University of Chicago Press, vol. 28(1), pages 63-96.
    12. Edward L. Glaeser & Joseph Gyourko, 2006. "Housing Dynamics," NBER Working Papers 12787, National Bureau of Economic Research, Inc.
    13. Dufour, Jean-Marie, 2006. "Monte Carlo tests with nuisance parameters: A general approach to finite-sample inference and nonstandard asymptotics," Journal of Econometrics, Elsevier, vol. 133(2), pages 443-477, August.
    14. An-Ming Wang, 2016. "Agglomeration and simplified housing boom," Urban Studies, Urban Studies Journal Limited, vol. 53(5), pages 936-956, April.
    15. Gabriele Galati & Federica Teppa & Rob Alessie, 2013. "Heterogeneity in house price dynamics," DNB Working Papers 371, Netherlands Central Bank, Research Department.
    16. Bieri, David S. & Kuminoff, Nicolai V. & Pope, Jaren C., 2023. "National expenditures on local amenities," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    17. Béchir Bouzid, 2010. "Titrisation des emprunts hypothécaires et bulle immobilière aux États-Unis : les origines d’une débâcle," Revue d'Économie Financière, Programme National Persée, vol. 97(2), pages 101-142.
    18. Lepinteur, Anthony & Waltl, Sofie R., 2020. "Tracking Owners' Sentiments: Subjective Home Values, Expectations and House Price Dynamics," Department of Economics Working Paper Series 299, WU Vienna University of Economics and Business.
    19. John Muellbauer, 2012. "When is a Housing Market Overheated Enough to Threaten Stability?," RBA Annual Conference Volume (Discontinued), in: Alexandra Heath & Frank Packer & Callan Windsor (ed.),Property Markets and Financial Stability, Reserve Bank of Australia.
    20. Deeksha Gupta, 2018. "Too Much Skin-in-the-Game? The Effect of Mortgage Market Concentration on Credit and House Prices," 2018 Meeting Papers 512, Society for Economic Dynamics.

    More about this item

    Keywords

    Housing price; rents; heterogeneity; Bayesian analysis;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • G00 - Financial Economics - - General - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:umc:wpaper:1015. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chao Gu (email available below). General contact details of provider: https://edirc.repec.org/data/edumous.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.