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Access to employment and property values in Mexico

Author

Listed:
  • Atuesta,Laura H.
  • Ibarra-Olivo,J. Eduardo
  • Lozano Gracia,Nancy
  • Deichmann,Uwe

Abstract

Location is one of the main characteristics households consider when buying a property or deciding where to live, since it determines accessibility to employment subcenters and public transport stations. Using a geographically-referenced data set on new housing developments, this paper estimates how households value accessibility in Mexico City. The results are shown considering road accessibility to formal employment subcenters (private accessibility) and distance to the main public transport stations in the city (public accessibility). The results suggest that accessibility to employment subcenters is considered an amenity for households, while being closer to a Metro station is perceived as a dis-amenity. Moreover, households located in neighborhoods with a greater proportion of informal workers and lower education levels give a lower value to private accessibility than households located in neighborhoods with a lower proportion of informal workers or in high-educated neighborhoods. These results are evidence of the existence of spatial segregation in the city, where disadvantaged households are segregated not only because of their economic conditions, but also because they are located farther away from employment opportunities.

Suggested Citation

  • Atuesta,Laura H. & Ibarra-Olivo,J. Eduardo & Lozano Gracia,Nancy & Deichmann,Uwe, 2018. "Access to employment and property values in Mexico," Policy Research Working Paper Series 8383, The World Bank.
    • Handle: RePEc:wbk:wbrwps:8383
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    Cited by:

    1. Andrés Gómez-Lobo & Daniel Oviedo, 2023. "Spatial Inequalities in Latin America: Mapping Aggregate to Micro-Level Disparities," LIS Working papers 869, LIS Cross-National Data Center in Luxembourg.
    2. Nakamura, Shohei & Avner, Paolo, 2021. "Spatial distributions of job accessibility, housing rents, and poverty: The case of Nairobi," Journal of Housing Economics, Elsevier, vol. 51(C).
    3. Gómez-Lobo, Andrés & Oviedo, Daniel, 2023. "Spatial inequalities in Latin America: mapping aggregate to micro-level disparities," LSE Research Online Documents on Economics 120691, London School of Economics and Political Science, LSE Library.
    4. Talat Munshi, 2020. "Accessibility, Infrastructure Provision and Residential Land Value: Modelling the Relation Using Geographic Weighted Regression in the City of Rajkot, India," Sustainability, MDPI, vol. 12(20), pages 1-16, October.

    More about this item

    Keywords

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    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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