IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v21y2010i2p355-376.html
   My bibliography  Save this article

Housing demand in Shanghai: A discrete choice approach

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043-951X(10)00022-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    2. Borsch-supan, Axel & Pitkin, John, 1988. "On discrete choice models of housing demand," Journal of Urban Economics, Elsevier, vol. 24(2), pages 153-172, September.
    3. Mankiw, N. Gregory & Weil, David N., 1989. "The baby boom, the baby bust, and the housing market," Regional Science and Urban Economics, Elsevier, vol. 19(2), pages 235-258, May.
    4. repec:bla:scandj:v:97:y:1995:i:4:p:635-59 is not listed on IDEAS
    5. Aaberge, Rolf & Colombino, Ugo & Strom, Steinar, 1999. "Labour Supply in Italy: An Empirical Analysis of Joint Household Decisions, with Taxes and Quantity Constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 403-422, July-Aug..
    6. Dagsvik, John K, 1994. "Discrete and Continuous Choice, Max-Stable Processes, and Independence from Irrelevant Attributes," Econometrica, Econometric Society, vol. 62(5), pages 1179-1205, September.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    8. Harold W. Elder & Leonard V. Zumpano, 1991. "Tenure Choice, Housing Demand, and Residential Location," Journal of Real Estate Research, American Real Estate Society, vol. 6(3), pages 341-356.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Ren, Yu & Xiong, Cong & Yuan, Yufei, 2012. "House price bubbles in China," China Economic Review, Elsevier, vol. 23(4), pages 786-800.
    7. 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).
    8. repec:wyi:journl:002167 is not listed on IDEAS
    9. 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).
    10. 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.
    11. 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.
    12. Han, Xuehui & Cheng, Yuan, 2017. "Consumption- and Productivity-Adjusted Dependency Ratio with Household Structure Heterogeneity," ADB Economics Working Paper Series 531, Asian Development Bank.
    13. 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.
    14. 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.
    15. 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.
    16. 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.

    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. John K. Dagsvik & Steinar StrØm, 2006. "Sectoral labour supply, choice restrictions and functional form," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 803-826, September.
    2. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
    3. John K. Dagsvik & Zhiyang Jia, 2016. "Labor Supply as a Choice Among Latent Jobs: Unobserved Heterogeneity and Identification," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 487-506, April.
    4. John K. Dagsvik & Zhiyang Jia, 2008. "An Alternative Approach to Labor Supply Modeling. Emphasizing Job-type as Choice Variable," Discussion Papers 550, Statistics Norway, Research Department.
    5. Rolf Aaberge & Ugo Colombino & Erling Holmøy & Birger Strøm & Tom Wennemo, 2004. "Population ageing and fiscal sustainability: An integrated micro-macro analysis of required tax changes," Discussion Papers 367, Statistics Norway, Research Department.
    6. Kanchanaroek, Yingluk & Termansen, Mette & Quinn, Claire, 2013. "Property rights regimes in complex fishery management systems: A choice experiment application," Ecological Economics, Elsevier, vol. 93(C), pages 363-373.
    7. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    8. John K. Dagsvik & Zhiyang Jia, 2014. "Labor supply as a discrete choice among latent jobs: Unobserved heterogeneity and identification," Discussion Papers 786, Statistics Norway, Research Department.
    9. R. Aaberge & U. Colombino & T. Wennemo, 2009. "Evaluating Alternative Representations Of The Choice Sets In Models Of Labor Supply," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 586-612, July.
    10. Dagsvik, John K. & Strøm, Steinar & Locatelli, Marilena, 2013. "Compensated Discrete Choice with Particular Reference to Labor Supply," Memorandum 20/2013, Oslo University, Department of Economics.
    11. Marley, A. A. J., 2002. "Random utility models and their applications: recent developments," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 289-302, July.
    12. Dagsvik John K., 2010. "Making Amartya Sen’s Capability Approach Operational: A Random Scale Framework for Empirical Modeling," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201005, University of Turin.
    13. Gian Maria Tomat, 2005. "Prices, Product Differentiation And Quality Measurement: A Comparison Between Hedonic And Matched Model Methods," Temi di discussione (Economic working papers) 547, Bank of Italy, Economic Research and International Relations Area.
    14. M. Fort & N. Schneeweis & R. Winter-Ebmer, 2011. "More Schooling, More Children: Compulsory Schooling Reforms and Fertility in Europe," Working Papers wp787, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Dagsvik, John K., 2018. "Invariance axioms and functional form restrictions in structural models," Mathematical Social Sciences, Elsevier, vol. 91(C), pages 85-95.
    16. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    17. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    18. Aaberge, Rolf & Flood, Lennart, 2008. "Evaluation of an In-Work Tax Credit Reform in Sweden: Effects on Labor Supply and Welfare Participation of Single Mothers," IZA Discussion Papers 3736, Institute of Labor Economics (IZA).
    19. Colombino, Ugo, 2010. "Equilibrium Policy Simulations with Random Utility Models of Labour Supply," IZA Discussion Papers 5262, Institute of Labor Economics (IZA).
    20. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.

    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:eee:chieco:v:21:y:2010:i:2:p:355-376. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

    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.