IDEAS home Printed from https://ideas.repec.org/a/bla/pacecr/v19y2014i2p237-253.html
   My bibliography  Save this article

Real Estate Market Policy and Household Demand for Housing

Author

Listed:
  • Yuan Cheng
  • John K. Dagsvik
  • Xuehui Han

Abstract

This paper used an estimated mixed multinomial logit model of household housing demand to examine the impact of four housing market-related policies on a stated preference survey sample. The estimated demand probability function suggested that household choice behaviour does show huge heterogeneity. The estimated results were then employed to examine the effects of the policies. We estimated the potential disequilibrium between demand and supply under the construction-size-limitation policy, demonstrated that the efficient movers' subsidy increases along with the household income, and simulated the changes in housing demand when tax policy is changed. We demonstrate the potential usefulness of our modelling framework in assisting policy-making decisions. Our model also partially explains the failures and controversies of the latest real-estate intervention policies in China.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:pacecr:v:19:y:2014:i:2:p:237-253
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1468-0106.12062
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Hanushek Eric A & Sarpça Sinan & Yilmaz Kuzey, 2011. "Private Schools and Residential Choices: Accessibility, Mobility, and Welfare," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-34, August.
    2. Nechyba, Thomas J. & Strauss, Robert P., 1998. "Community choice and local public services: A discrete choice approach," Regional Science and Urban Economics, Elsevier, vol. 28(1), pages 51-73, January.
    3. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Hausman, Jerry A. & Ruud, Paul A., 1987. "Specifying and testing econometric models for rank-ordered data," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 83-104.
    6. Han, Xuehui, 2010. "Housing demand in Shanghai: A discrete choice approach," China Economic Review, Elsevier, vol. 21(2), pages 355-376, June.
    7. Charles Ka Yui Leung, 2003. "Economic Growth And Increasing House Prices," Pacific Economic Review, Wiley Blackwell, vol. 8(2), pages 183-190, June.
    8. Lok Sang Ho & Gary Wong, 2008. "Nexus Between Housing And The Macro Economy: The Hong Kong Case," Pacific Economic Review, Wiley Blackwell, vol. 13(2), pages 223-239, May.
    9. Barrow, Lisa, 2002. "School choice through relocation: evidence from the Washington, D.C. area," Journal of Public Economics, Elsevier, vol. 86(2), pages 155-189, November.
    10. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    11. Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
    12. Hanushek, Eric & Yilmaz, Kuzey, 2007. "The complementarity of Tiebout and Alonso," Journal of Housing Economics, Elsevier, vol. 16(2), pages 243-261, June.
    13. Hall, Jane & Viney, Rosalie & Haas, Marion & Louviere, Jordan, 2004. "Using stated preference discrete choice modeling to evaluate health care programs," Journal of Business Research, Elsevier, vol. 57(9), pages 1026-1032, September.
    14. Charles Ka Yui Leung & Wei Wang, 2007. "An Examination of the Chinese Housing Market through the Lens of the DiPasquale- Wheaton Model: a Graphical Attempt," International Real Estate Review, Global Social Science Institute, vol. 10(2), pages 131-165.
    15. Keiko Nosse Hirono, 2010. "Housing Policy For Utilization Of Existing Housing," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 697-707, December.
    16. Keiko Nosse Hirono, 2009. "Housing Policy For The Elderly: A Policy To Build Barrier‐Free Rental Housing," Pacific Economic Review, Wiley Blackwell, vol. 14(5), pages 694-704, December.
    17. repec:bla:pacecr:v:8:y:2003:i:1:p:31-45 is not listed on IDEAS
    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. Izabela Racka, 2021. "Drivers of Subregional Housing Markets in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 810-834.
    2. Wei-Ling Tsou & Chen-Yi Sun, 2021. "Consumers’ Choice between Real Estate Investment and Consumption: A Case Study in Taiwan," Sustainability, MDPI, vol. 13(21), pages 1-13, October.
    3. 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.
    4. Brzezicka, Justyna & Wisniewski, Radoslaw & Figurska, Marta, 2018. "Disequilibrium in the real estate market: Evidence from Poland," Land Use Policy, Elsevier, vol. 78(C), pages 515-531.

    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. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2022. "Understanding migration aversion using elicited counterfactual choice probabilities," Journal of Econometrics, Elsevier, vol. 231(1), pages 123-147.
    2. Jonathan Eyer, 2018. "Does School Quality Matter? A Travel Cost Approach," Education Finance and Policy, MIT Press, vol. 13(2), pages 149-167, Spring.
    3. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    4. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    5. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "Residential Segregation in General Equilibrium," Working Papers 885, Economic Growth Center, Yale University.
    6. Crystal Zhan, 2015. "School and neighborhood: residential location choice of immigrant parents in the Los Angeles Metropolitan area," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(3), pages 737-783, July.
    7. Leung, Charles Ka Yui & Chow, Kenneth & Yiu, Matthew & Tam, Dickson, 2010. "House Market in Chinese Cities: Dynamic Modeling, In-Sampling Fitting and Out-of-Sample Forecasting," MPRA Paper 27367, University Library of Munich, Germany.
    8. Godager, Geir, 2012. "Birds of a feather flock together: A study of doctor–patient matching," Journal of Health Economics, Elsevier, vol. 31(1), pages 296-305.
    9. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
    10. Ben Aoki-Sherwood & Catherine Bregou & David Liben-Nowell & Kiran Tomlinson & Thomas Zeng, 2024. "Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models," Papers 2401.11016, arXiv.org.
    11. Kockelman, Kara M. & Podgorski, Kaethe & Bina, Michelle & Gadda, Shashank, 2009. "Public Perceptions of Pricing Existing Roads and Other Transportation Policies: The Texas Perspective," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 48(3).
    12. Hong il Yoo, 2012. "The perceived unreliability of rank-ordered data: an econometric origin and implications," Discussion Papers 2012-46, School of Economics, The University of New South Wales.
    13. Schmidheiny, Kurt & Brülhart, Marius, 2011. "On the equivalence of location choice models: Conditional logit, nested logit and Poisson," Journal of Urban Economics, Elsevier, vol. 69(2), pages 214-222, March.
    14. Denise Doiron & Hong Il Yoo, 2020. "Stated preferences over job characteristics: A panel study," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(1), pages 43-82, February.
    15. Yoojin Yi & Euijune Kim & Eunjin Choi, 2017. "Linkage among School Performance, Housing Prices, and Residential Mobility," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    16. Patrick Bayer & Robert McMillan, 2005. "Racial Sorting and Neighborhood Quality," NBER Working Papers 11813, National Bureau of Economic Research, Inc.
    17. Steven Glazerman & Dallas Dotter, "undated". "Market Signals: Evidence on the Determinants and Consequences of School Choice from a Citywide Lottery," Mathematica Policy Research Reports fb9c3ca046294636aa526d7c1, Mathematica Policy Research.
    18. Zheng, Qiujie & Wang, H. Holly, 2016. "Chinese preferences for sustainable attributes for food away from home: A rank-ordered model," China Economic Review, Elsevier, vol. 41(C), pages 148-158.
    19. Samare P. I. Huls & Emily Lancsar & Bas Donkers & Jemimah Ride, 2022. "Two for the price of one: If moving beyond traditional single‐best discrete choice experiments, should we use best‐worst, best‐best or ranking for preference elicitation?," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2630-2647, December.
    20. Lee, Paul H. & Yu, Philip L.H., 2010. "Distance-based tree models for ranking data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1672-1682, June.

    More about this item

    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:bla:pacecr:v:19:y:2014:i:2:p:237-253. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1361-374X .

    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.