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Exploring a multilevel approach with spatial effects to model housing price in San José, Costa Rica

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  • Eduardo Pérez-Molina

Abstract

A multilevel model of the housing market for San José Metropolitan Region (Costa Rica) was developed, including spatial effects. The model is used to explore two main questions: the extent to which contextual (of the surroundings) and compositional (of the property itself) effects explain variation of housing prices and how does the relation between price and key covariates change with the introduction of multilevel effects. Hierarchical relations (lower level units nested into higher level) were modeled by specifying multilevel models with random intercepts and a conditional autoregressive term to include spatial effects from neighboring units at the higher level (districts). The random intercepts and conditional autoregressive models presented the best fit to the data. Variation at the higher level accounted for 16% of variance in the random intercepts model and 28% in the conditional autoregressive model. The sign and magnitude of regression coefficients proved remarkably stable across model specifications. Travel time to the city center, which presented a non-linear relation to price, was found to be the most important determinant. Multilevel and conditional autoregressive models constituted important improvements in modeling housing price, despite most of the variation still occurring at the lower level, by improving the overall model fit. They were capable of representing the regional structure and of reducing sampling bias in the data. However, the conditional autoregressive specification only represented a limited advance over the random intercepts formulation.

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  • Eduardo Pérez-Molina, 2022. "Exploring a multilevel approach with spatial effects to model housing price in San José, Costa Rica," Environment and Planning B, , vol. 49(3), pages 987-1004, March.
    • Handle: RePEc:sae:envirb:v:49:y:2022:i:3:p:987-1004
    DOI: 10.1177/23998083211041122
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    1. Lucia Paci & Alan E. Gelfand & and María Asunción Beamonte & Pilar Gargallo & Manuel Salvador, 2020. "Spatial hedonic modelling adjusted for preferential sampling," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 169-192, January.
    2. Grieson, Ronald E. & White, James R., 1989. "The existence and capitalization of neighborhood externalities: A reassessment," Journal of Urban Economics, Elsevier, vol. 25(1), pages 68-76, January.
    3. Nan Liu & Deborah Roberts, 2012. "Do Incomers Pay More for Rural Housing?," Environment and Planning A, , vol. 44(8), pages 1986-2005, August.
    4. David M. Henneberry & Richard L. Barrows, 1990. "Capitalization of Exclusive Agricultural Zoning into Farmland Prices," Land Economics, University of Wisconsin Press, vol. 66(3), pages 249-258.
    5. Guanpeng Dong & Jing Ma & Richard Harris & Gwilym Pryce, 2016. "Spatial Random Slope Multilevel Modeling Using Multivariate Conditional Autoregressive Models: A Case Study of Subjective Travel Satisfaction in Beijing," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(1), pages 19-35, January.
    6. Liv Osland & Ingrid Sandvig Thorsen & Inge Thorsen, 2016. "Accounting For Local Spatial Heterogeneities In Housing Market Studies," Journal of Regional Science, Wiley Blackwell, vol. 56(5), pages 895-920, November.
    7. Gelfand, Alan E. & Banerjee, Sudipto & Sirmans, C.F. & Tu, Yong & Eng Ong, Seow, 2007. "Multilevel modeling using spatial processes: Application to the Singapore housing market," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3567-3579, April.
    8. Sturtz, Sibylle & Ligges, Uwe & Gelman, Andrew, 2005. "R2WinBUGS: A Package for Running WinBUGS from R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i03).
    9. Brueckner, Jan K., 1983. "The economics of urban yard space: An "implicit-market" model for housing attributes," Journal of Urban Economics, Elsevier, vol. 13(2), pages 216-234, March.
    10. Guanpeng Dong & Richard Harris & Kelvyn Jones & Jianhui Yu, 2015. "Multilevel Modelling with Spatial Interaction Effects with Application to an Emerging Land Market in Beijing, China," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-18, June.
    11. Viggo Nordvik & Liv Osland & Inge Thorsen & Ingrid Sandvig Thorsen, 2019. "Capitalization of neighbourhood diversity and segregation," Environment and Planning A, , vol. 51(8), pages 1775-1799, November.
    12. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    13. Coro Chasco & Julie Le Gallo, 2012. "Hierarchy and spatial autocorrelation effects in hedonic models," Economics Bulletin, AccessEcon, vol. 32(2), pages 1474-1480.
    14. Boeing, Geoff, 2017. "New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings," SocArXiv v54w4, Center for Open Science.
    15. Glaeser, Edward L., 2008. "Cities, Agglomeration, and Spatial Equilibrium," OUP Catalogue, Oxford University Press, number 9780199290444.
    16. Luc Anselin & Nancy Lozano-Gracia, 2009. "Spatial Hedonic Models," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 26, pages 1213-1250, Palgrave Macmillan.
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