The evolution of choice set formation in dwelling and location with rising prices: A decadal panel analysis in the Greater Toronto Area
Home location choice is based on both the characteristics of the dwelling (e.g., size, style, number of bedrooms) and the location (e.g., proximity to work, quality of schools, accessibility). Recent years have seen a steep increase in the price of housing in many major cities. In this research, we examine how these price increases are affecting the types of dwelling and locations considered by households. A large sample of real estate listings from 2006 and 2016 from the Greater Toronto Area is used to develop the empirical models. Two recently developed discrete choice models are used in the study: a nested logit model with latent class feedback (LCF) and a semi-compensatory independent availability logit (SCIAL) model. A method of alternative aggregation is proposed to overcome the computational hurdle that often impedes the estimation of choice set models. We find a significant increase in the probability of larger households considering townhouses and apartments over detached single-family dwellings between 2006 and 2016.
Alonso, W. (1960). A theory of the urban land market. Papers and Proceedings of the Regional Science Association, 6(3), 49–57. https://doi.org/10.1111/j.1435-5597.1960.tb01710.x
Badger, E., & Bui, Q. (2019, June 18). Cities start to question an American ideal: A house with a yard on every lot. New York Times. https://www.nytimes.com/interactive/2019/06/18/upshot/cities-across-america-question-single-family-zoning.html
Banister, D. (2005). Unsustainable transport: City transport in the new century. In Unsustainable transport: City transport in the new century. London: Routledge. https://doi.org/10.4324/9780203003886
Bhat, C. R. (2015). A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation. Transportation Research Part B: Methodological, 79, 161–188. https://doi.org/10.1016/j.trb.2015.05.021
Boehm, T. P. (1982). A hierarchical model of housing choice. Urban Studies, 19(1), 17–31. https://doi.org/10.1080/00420988220080021
Boustan, L., & Shertzer, A. (2013). Population trends as a counterweight to central city decline, 1950-2000. Demography, 50(1), 125–147. https://doi.org/10.1007/s
Brownstone, D., & Englund, P. (1991). The demand for housing in Sweden: Equilibrium choice of tenure and type of dwelling. Journal of Urban Economics, 29(3), 267–281. https://doi.org/10.1016/0094-1190(91)90001-N
CARB. (2020). Sustainable communities. Sacramento, CA: California Air Resource Board.
Caton, H. (2016, May 3). More families are choosing condo life over house in suburbs, study finds. Toronto.com. https://www.toronto.com/news-story/6525372-more-families-are-choosing-condo-life-over-house-in-suburbs-study-finds/
Curriero, F. C., Kulldorff, M., Boscoe, F. P., & Klassen, A. C. (2010). Using imputation to provide location information for nongeocoded addresses. PLoS ONE, 5(2), e8998. https://doi.org/10.1371/journal.pone.0008998
Florida, R. (2012). The rise of the creative class (2nd ed.). New York: Basic Books.
Fu, X., Bhat, C. R., Pendyala, R. M., Vadlamani, S., & Garikapati, V. M. (2015). Understanding the multiple dimensions of residential choice. Paper presented at the Transportation Research Board 94th Annual Meeting, Washington, DC.
Gaudry, M. J. I. (2018). The replacement of regressions of convenience by Box-Cox Likelihoods: Transport model evidence and link to Hume’s constant conjunction (AJD report no. 174). Montreal: University of Montreal. https://doi.org/10.13140/RG.2.2.27635.63527
Glaeser, E. (2012). Triumph of the city (1st ed.). London: Penguin Books.
Habib, K. N. (2019). Mode choice modelling for hailable rides: An investigation of the competition of Uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation. Transportation Research Part A: Policy and Practice, 129, 205–216. https://doi.org/10.1016/j.tra.2019.08.014
Habibi, S., Frejinger, E., & Sundberg, M. (2019). An empirical study on aggregation of alternatives and its influence on prediction in car type choice models. Transportation, 46(3), 563–582. https://doi.org/10.1007/s11116-017-9828-5
Henry, K. A., & Boscoe, F. P. (2008). Estimating the accuracy of geographical imputation. International Journal of Health Geographics, 7. https://doi.org/10.1186/1476-072X-7-3
Hortas-Rico, M. (2015). Sprawl, blight, and the role of urban containment policies: Evidence from U.S. Cities. Journal of Regional Science, 55(2), 298–323. https://doi.org/10.1111/jors.12145
Hossain, S., Hasnine, M. S., & Habib, K. N. (2020). A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton area. Transportation, 48, 1217–1239. https://doi.org/10.1007/s11116-020-10092-1
Hume, C. (2018, December 19). Family-sized condo units are changing Toronto’s real estate market. Storeys. https://storeys.com/family-sized-condo-units-are-changing-torontos-real-estate-market/
Hyra, D. (2015). The back-to-the-city movement: Neighbourhood redevelopment and processes of political and cultural displacement. Urban Studies Journal Limited, 52(10), 1753–1773. https://doi.org/10.1177/0042098014539403
Kalinowski, T. (2020, February 6). Toronto house prices are expected to soar by nearly 10 percent in 2020 — and rents will jump up too. Toronto Star. https://www.thestar.com/business/2020/02/06/toronto-house-prices-expected-to-climb-nearly-10-per-cent-in-2020.html#:~:text=too%20%7C%20The%20Star-,Toronto%20house%20prices%20are%20expected%20to%20soar%20by%20nearly%2010,rents%20will%20jump%20up%20too&text=Any%20lingering%20concerns%20that%20the,Real%20Estate%20Board%20(TRREB)
Kaplan, S., Bekhor, S., & Shiftan, Y. (2013). Hybrid compensatory–noncompensatory choice sets in semicompensatory models. Transportation Research Record: Journal of the Transportation Research Board, 2322(1), 10–19. https://doi.org/10.3141/2322-02
Kaplan, S., Shiftan, Y., & Bekhor, S. (2012). Development and estimation of a semi-compensatory model with a flexible error structure. Transportation Research Part B: Methodological, 46(2), 291–304. https://doi.org/10.1016/j.trb.2011.10.004
Klassen, A. C., & Platz, E. A. (2006). What can geography tell us about prostate cancer? American Journal of Preventive Medicine, 30(2S), S7–S15 https://doi.org/10.1016/j.amepre.2005.09.004
LeBlanc, D. (2018, September 20). Moving from a house to a condo proved to be the right choice for this Toronto couple. The Globe and Mail. https://www.theglobeandmail.com/real-estate/toronto/article-moving-from-a-house-to-a-condo-proved-to-be-the-right-choice-for-this/
Manski, C. F. (1977). The structure of random utility models. Theory and Decision, 8(3), 229–254. https://doi.org/10.1007/BF00133443
Martínez, F., Aguila, F., & Hurtubia, R. (2009). The constrained multinomial logit: A semi-compensatory choice model. Transportation Research Part B: Methodological, 43(3), 365–377.
Mercer Canada. (2019, June 26). Mercer Canada: 2019 cost of living survey. https://www.mercer.ca/en/newsroom/mercers-25th-annual-cost-of-living-survey.html
Moore, A. T., Staley, S. R., & Poole, R. W. (2010). The role of VMT reduction in meeting climate change policy goals. Transportation Research Part A: Policy and Practice, 44(8), 565–574. https://doi.org/10.1016/j.tra.2010.03.012
Platt Boustan, L., Bunten, D., & Hearey, O. (2013). Urbanization in the United States, 1800-2000. In L. Cain, P. Fishback, & P. Rhode (Eds.), The Oxford handbook of American economic history. Oxford, England: Oxford University Press. https://doi.org/10.1007/BF02800653
Quigley, J. M. (1985). Consumer choice of dwelling, neighborhood and public services. Regional Science and Urban Economics, 15(1), 41–63. https://doi.org/10.1016/0166-0462(85)90031-6
Smith, N. (2019). Toward a theory of gentrification. A back to the city movement by capital, not people. Suburban, 7(3), 65–86. https://doi.org/10.36900/suburban.v7i3.546
Statistics Canada. (2016). 2016 census highlights: Factsheet 14. https://www.fin.gov.on.ca/en/economy/demographics/census/cenhi16-14.html
Stieger, S., & Lewetz, D. (2016). Parent-child proximity and personality: Basic human values and moving distance. BMC Psychology, 4(1), 1–12. https://doi.org/10.1186/s40359-016-0132-5
Swait, J., & Ben-Akiva, M. (1987). Incorporating random constraints in discrete models of choice set generation. Transportation Research Part B, 21(2), 91–102. https://doi.org/10.1016/0191-2615(87)90009-9
Tu, Y., & Goldfinch, J. (1996). A two-stage housing choice forecasting model. Urban Studies, 33(3), 517–537. https://doi.org/10.1080/00420989650011898
Van Eggermond, M. A. B., Erath, A., & Axhausen, K. W. (2018). Residential search and location choice in Singapore. 2018 Transportation Research Board Annual Meeting Online. Washington, DC: TRB. https://doi.org/10.3929/ethz-b-000193146
Zolfaghari, A., Sivakumar, A., & Polak, J. (2013). Simplified probabilistic choice set formation models in a residential location choice context. Journal of Choice Modelling, 9, 3–13. https://doi.org/10.1016/j.jocm.2013.12.004
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