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Housing demand in Shanghai: A discrete choice approach

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  • Han, Xuehui

Abstract

In this study we apply a random utility modeling framework to analyze housing demand in the city of Shanghai. A Multinomial Logit Model taking account of latent choice sets is employed to investigate the impact of household characteristics, such as income, size and age composition, on the choice of dwelling, specified by location, size and unit price. In addition to the price and income effects on housing demand, the model identifies a quality indicator for dwelling attributes, which can be interpreted as the mean attractiveness in a money metric measure. The data used in this study are cross-sectional survey data. The estimated model is used to calculate demand elasticities and demand probabilities, for selected groups of households and types of dwellings. Among the results can be noted that the price-income ratios, the age composition and size of household are all important determinants of the demand. The impact of income distribution on housing demand is also studied.

Suggested Citation

  • Han, Xuehui, 2010. "Housing demand in Shanghai: A discrete choice approach," China Economic Review, Elsevier, vol. 21(2), pages 355-376, June.
    • Handle: RePEc:eee:chieco:v:21:y:2010:i:2:p:355-376
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    Cited by:

    1. Xiaohong Deng & Lei Gong & Yanfang Gao & Xiaoqing Cui & Ke Xu, 2018. "Internal Differentiation within the Rural Migrant Population from the Sustainable Urban Development Perspective: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    2. Ömer ALKAN & Abdulkerim KARAASLAN & Hayri ABAR & Ali Kemal ÇELIK & Erkan OKTAY, 2014. "Factors Affecting Motives For Housing Demand: The Case Of A Turkish Province," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(3), pages 70-86, August.
    3. Wen-Chi LIU, 2016. "Do Multiple Housing Bubbles Exist in China? Further Evidence from Generalized Sup ADF Tests," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 135-145, December.
    4. Yuan Cheng & John K. Dagsvik & Xuehui Han, 2014. "Real Estate Market Policy and Household Demand for Housing," Pacific Economic Review, Wiley Blackwell, vol. 19(2), pages 237-253, May.
    5. Han, Xuehui & Cheng, Yuan, 2020. "Consumption- and productivity-adjusted dependency ratio with household structure heterogeneity in China," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    6. Ali Osman Solak & Burhan Kabadayi, 2016. "Bounds Testing Approaches to Housing Demand in Turkey: Is There a Real Estate Bubble?," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1132-1135.
    7. Xuehui Han & Yuan Cheng, 2017. "Consumption- and Productivity-Adjusted Dependency Ratio with Household Structure Heterogeneity," Working Papers id:12339, eSocialSciences.
    8. Yang, Zhenbing & Chen, Zhuo & Shao, Shuai & Yang, Lili, 2022. "Can housing price regulation improve R&D performance in universities? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    9. Ng, Eric C.Y., 2015. "Housing market dynamics in China: Findings from an estimated DSGE model," Journal of Housing Economics, Elsevier, vol. 29(C), pages 26-40.
    10. 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.
    11. Ren, Yu & Xiong, Cong & Yuan, Yufei, 2012. "House price bubbles in China," China Economic Review, Elsevier, vol. 23(4), pages 786-800.
    12. repec:wyi:journl:002167 is not listed on IDEAS
    13. 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.
    14. Akbar, Delwar & Rolfe, John & Kabir, S.M. Zobaidul, 2013. "Predicting impacts of major projects on housing prices in resource based towns with a case study application to Gladstone, Australia," Resources Policy, Elsevier, vol. 38(4), pages 481-489.
    15. Jie Chen & Zan Yang, 2017. "What do young adults on the edges of homeownership look like in big cities in an emerging economy: Evidence from Shanghai," Urban Studies, Urban Studies Journal Limited, vol. 54(10), pages 2322-2341, August.
    16. Han, Xuehui & Zhang, Tao & Dagsvik, John K. & Cheng, Yuan, 2023. "A cross-sectional exploration of labor supply, gender, and household wealth in urban China," Journal of choice modelling, Elsevier, vol. 48(C).

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