Housing demand in Shanghai: A discrete choice approach
AbstractIn 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal China Economic Review.
Volume (Year): 21 (2010)
Issue (Month): 2 (June)
Contact details of provider:
Web page: http://www.elsevier.com/locate/chieco
Housing demand Random utility Latent choice set;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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 403-22, July-Aug..
- Dagsvik, John K. & Strøm, Steinar, 2004.
"Sectoral labor supply, choice restrictions and functional form,"
13/2004, Oslo University, Department of Economics.
- Steinar Str�m & John K. Dagsvik, 2006. "Sectoral labour supply, choice restrictions and functional form," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 803-826.
- John K. Dagsvik & Steinar Strøm, 2004. "Sectoral Labor Supply, Choice Restrictions and Functional Form," Discussion Papers 388, Research Department of Statistics Norway.
- 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.
- 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.
- Aaberge, Rolf & Dagsvik, John K & Strom, Steinar, 1995. " Labor Supply Responses and Welfare Effects of Tax Reforms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 97(4), pages 635-59, December.
- 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.
- Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132.
- Ren, Yu & Xiong, Cong & Yuan, Yufei, 2012. "House price bubbles in China," China Economic Review, Elsevier, vol. 23(4), pages 786-800.
- Yuan Cheng & Xuehui Han, 2013. "Does large volatility help?—stochastic population forecasting technology in explaining real estate price process," Journal of Population Economics, Springer, vol. 26(1), pages 323-356, January.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.