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The user cost of housing and the price-rent ratio in Shanghai

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  • Chen, Jie
  • Chen, Yu
  • Hill, Robert J.
  • Hu, Pei

Abstract

We compute hedonic quality-adjusted price-rent ratios for residential housing in Shanghai. Our method corrects for selection into owner-occupied housing and for omitted variables. We find that quality adjustment reduces the price-rent ratio by 14 percent. Even so, a price-rent ratio of 70 in 2017 is still very high by international standards. In cross-section, the price-rent ratio is increasing in price, confirming previous findings for cities in western countries. But it is decreasing in rents. We attribute this new finding to the asymmetric impact of the hukou system on owner-occupiers and renters in China. We then examine, in a user-cost setting, why the price-rent ratio is so high. The key driver is the extremely high rate of expected capital gains, which we argue has turned the user cost of owner-occupying negative. We explore how this affects the interpretation of observed price-rent ratios.

Suggested Citation

  • Chen, Jie & Chen, Yu & Hill, Robert J. & Hu, Pei, 2022. "The user cost of housing and the price-rent ratio in Shanghai," Regional Science and Urban Economics, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:regeco:v:92:y:2022:i:c:s0166046221000983
    DOI: 10.1016/j.regsciurbeco.2021.103738
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    1. Brent W. Ambrose & Piet Eichholtz & Thies Lindenthal, 2013. "House Prices and Fundamentals: 355 Years of Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 477-491, March.
    2. 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.
    3. Jie Chen & Qianjin Hao & Chamna Yoon, 2018. "Measuring the welfare cost of air pollution in Shanghai: evidence from the housing market," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(10), pages 1744-1757, August.
    4. Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
    5. Kaiji Chen & Yi Wen, 2017. "The Great Housing Boom of China," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(2), pages 73-114, April.
    6. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2016. "Evaluating the risk of Chinese housing markets: What we know and what we need to know," China Economic Review, Elsevier, vol. 39(C), pages 91-114.
    7. Garner, Thesia I. & Verbrugge, Randal, 2009. "Reconciling user costs and rental equivalence: Evidence from the US consumer expenditure survey," Journal of Housing Economics, Elsevier, vol. 18(3), pages 172-192, September.
    8. Robert J. Hill & Daniel Melser, 2008. "Hedonic Imputation And The Price Index Problem: An Application To Housing," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 593-609, October.
    9. Nathalie Girouard & Mike Kennedy & Paul van den Noord & Christophe André, 2006. "Recent House Price Developments: The Role of Fundamentals," OECD Economics Department Working Papers 475, OECD Publishing.
    10. Hill, Robert J. & Syed, Iqbal A., 2016. "Hedonic price–rent ratios, user cost, and departures from equilibrium in the housing market," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 60-72.
    11. James M. Poterba, 1984. "Tax Subsidies to Owner-Occupied Housing: An Asset-Market Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(4), pages 729-752.
    12. Ryan Fox & Peter Tulip, 2014. "Is Housing Overvalued?," RBA Research Discussion Papers rdp2014-06, Reserve Bank of Australia.
    13. Joseph Gyourko & Christopher Mayer & Todd Sinai, 2013. "Superstar Cities," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 167-199, November.
    14. Morris A. Davis & Andreas Lehnert & Robert F. Martin, 2008. "The Rent‐Price Ratio For The Aggregate Stock Of Owner‐Occupied Housing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(2), pages 279-284, June.
    15. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2012. "Evaluating conditions in major Chinese housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 531-543.
    16. Stiglitz, Joseph E, 1990. "Symposium on Bubbles," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 13-18, Spring.
    17. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
    18. Philippe Bracke, 2015. "House Prices and Rents: Microevidence from a Matched Data Set in Central London," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 403-431, June.
    19. Zhang, Muyang & Chen, Jie, 2018. "Unequal school enrollment rights, rent yields gap, and increased inequality: The case of Shanghai," China Economic Review, Elsevier, vol. 49(C), pages 229-240.
    20. Iris Day, 2017. "Underlying Consumer Price Inflation in China," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 29-36, December.
    21. Prince Christian R. Cruz, 2008. "Transaction Costs and Housing Affordability in Asia," International Real Estate Review, Global Social Science Institute, vol. 11(1), pages 128-150.
    22. Bracke, Philippe, 2013. "How long do housing cycles last? A duration analysis for 19 OECD countries," Journal of Housing Economics, Elsevier, vol. 22(3), pages 213-230.
    23. Edward Glaeser & Wei Huang & Yueran Ma & Andrei Shleifer, 2017. "A Real Estate Boom with Chinese Characteristics," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 93-116, Winter.
    24. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    25. World Bank, 2020. "Purchasing Power Parities and the Size of World Economies," World Bank Publications - Books, The World Bank Group, number 33623, December.
    26. Steven C. Bourassa & Martin Hoesli & Elias Oikarinen, 2019. "Measuring House Price Bubbles," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(2), pages 534-563, June.
    27. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    28. Heston, Alan & Nakamura, Alice O., 2009. "Questions about the equivalence of market rents and user costs for owner occupied housing," Journal of Housing Economics, Elsevier, vol. 18(3), pages 273-279, September.
    29. Herd,Richard, 2020. "Estimating Capital Formation and Capital Stock by Economic Sector in China : The Implications for Productivity Growth," Policy Research Working Paper Series 9317, The World Bank.
    30. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    31. Bettina H. Aten, 2018. "Valuing Owner-Occupied Housing: an empirical exercise using the American Community Survey (ACS) Housing files," BEA Working Papers 0149, Bureau of Economic Analysis.
    32. W. Erwin Diewert & John S. Greenlees & Charles R. Hulten, 2009. "Price Index Concepts and Measurement," NBER Books, National Bureau of Economic Research, Inc, number diew08-1, March.
    33. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    34. Joshua Gallin, 2008. "The Long‐Run Relationship Between House Prices and Rents," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(4), pages 635-658, December.
    35. repec:mcb:jmoncb:v:45:y:2013:i::p:477-491 is not listed on IDEAS
    36. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    37. Glaeser, Edward L. & Nathanson, Charles G., 2017. "An extrapolative model of house price dynamics," Journal of Financial Economics, Elsevier, vol. 126(1), pages 147-170.
    38. Arnold Katz, 2017. "Imputing Rents to Owner-Occupied Housing by Directly Modelling Their Distribution," BEA Working Papers 0144, Bureau of Economic Analysis.
    39. Lyons, Ronan C., 2019. "Can list prices accurately capture housing price trends? Insights from extreme markets conditions," Finance Research Letters, Elsevier, vol. 30(C), pages 228-232.
    40. Li, Han & Wei, Yehua Dennis & Wu, Yangyi, 2019. "Analyzing the private rental housing market in Shanghai with open data," Land Use Policy, Elsevier, vol. 85(C), pages 271-284.
    41. Zhou, Zhengyi, 2016. "Overreaction to policy changes in the housing market: Evidence from Shanghai," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 26-41.
    42. Guo, Juncong & Qu, Xi, 2019. "Spatial interactive effects on housing prices in Shanghai and Beijing," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 147-160.
    43. Li, Victor Jing & Cheng, Andy Wui Wing & Cheong, Tsun Se, 2017. "Home purchase restriction and housing price: A distribution dynamics analysis," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 1-10.
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    More about this item

    Keywords

    Shanghai housing market; Price–rent ratio; User cost; Hedonic quality adjustment; Capital gains;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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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