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Key Issues in Local Job Accessibility Measurement: Different Models Mean Different Results

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  • M. Bunel

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • E. Tovar

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

Abstract

This methodological paper shows that using different local job accessibility models (LJAs) leads to significantly different empirical appreciations of job accessibility. Matching several exhaustive micro data sources on the Paris region municipalities, the paper benchmarks a representative set of LJA measurement models used in the recent literature and an original model where job availability is fully estimated according to a set of individual characteristics, job competition is fully modelled on the local labour market and frontier effects are controlled for. We show that the model-induced empirical differences are spatially differentiated across the Paris region municipalities, and that failing to fully estimate job availability may lead to overestimation of the job accessibility levels of underprivileged municipalities.

Suggested Citation

  • M. Bunel & E. Tovar, 2014. "Key Issues in Local Job Accessibility Measurement: Different Models Mean Different Results," Post-Print halshs-00867924, HAL.
  • Handle: RePEc:hal:journl:halshs-00867924
    DOI: 10.1177/0042098013495573
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00867924
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    Cited by:

    1. Viguié, Vincent & Liotta, Charlotte & Pfeiffer, Basile & Coulombel, Nicolas, 2023. "Can public transport improve accessibility for the poor over the long term? Empirical evidence in Paris, 1968–2010," Journal of Transport Geography, Elsevier, vol. 106(C).
    2. Ioannis Baraklianos & Louafi Bouzouina & Patrick Bonnel & Hind Aissaoui, 2020. "Does the accessibility measure influence the results of residential location choice modelling?," Transportation, Springer, vol. 47(3), pages 1147-1176, June.
    3. Fredrik Andersson & John C. Haltiwanger & Mark J. Kutzbach & Henry O. Pollakowski & Daniel H. Weinberg, 2018. "Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 203-218, May.
    4. Changdong Ye & Qiluan He & Wanlin Huang & Haitao Ma, 2022. "Analysis of the Spatial Distribution Characteristics of Residences and Workplaces under the Influence of Metro Transportation in Metropolises from the Perspectives of Accessibility and Travelers’ Indu," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    5. Evelyn Blumenberg & Fariba Siddiq, 2023. "Commute distance and jobs-housing fit," Transportation, Springer, vol. 50(3), pages 869-891, June.
    6. Ahmed, Tanjeeb & Hyland, Michael & Sarma, Navjyoth J.S. & Mitra, Suman & Ghaffar, Arash, 2020. "Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 221-247.
    7. Singer, Matan E. & Cohen-Zada, Aviv L. & Martens, Karel, 2022. "Core versus periphery: Examining the spatial patterns of insufficient accessibility in U.S. metropolitan areas," Journal of Transport Geography, Elsevier, vol. 100(C).
    8. Anzhelika Antipova, 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    9. Antonio Di Paolo & Anna Matas & Josep Lluís Raymond, 2014. "“Job Accessibility, Employment and Job-Education Mismatch in the Metropolitan Area of Barcelona”," IREA Working Papers 201419, University of Barcelona, Research Institute of Applied Economics, revised May 2014.
    10. Ioannis BARAKLIANOS & Louafi BOUZOUINA & Patrick BONNEL, 2018. "The impact of accessibility on the location choices of the business services. Evidence from Lyon urban area," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 48, pages 85-104.
    11. Janeria Easley, 2018. "Spatial mismatch beyond black and white: Levels and determinants of job access among Asian and Hispanic subpopulations," Urban Studies, Urban Studies Journal Limited, vol. 55(8), pages 1800-1820, June.
    12. Mengying Cui & David Levinson, 2019. "Measuring Full Cost Accessibility by Auto," Working Papers 2019-02, University of Minnesota: Nexus Research Group.
    13. Steven C Bourassa & Martin Hoesli & Louis Merlin & John Renne, 2021. "Big data, accessibility and urban house prices," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3176-3195, November.
    14. Stephan Brunow & Ramona Jost, 2023. "Being a long distance out-commuter or home employee in a rather peripheral region evidence of a German federal state," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(2), pages 317-342, August.
    15. Mengying Cui & David Levinson, 2020. "Primal and Dual Access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    16. Martín-Barroso, David & Núñez-Serrano, Juan A. & Velázquez, Francisco J., 2017. "Firm heterogeneity and the accessibility of manufacturing firms to labour markets," Journal of Transport Geography, Elsevier, vol. 60(C), pages 243-256.
    17. Hyunjoo Eom, 2022. "Does Job Accessibility Matter in the Suburbs? Black Suburbia, Job Accessibility, and Employment Outcomes," Land, MDPI, vol. 11(11), pages 1-21, November.
    18. Fredrik Andersson & John C. Haltiwanger & Mark J. Kutzbach & Henry O. Pollakowski & Daniel H. Weinberg, 2018. "Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 203-218, May.
    19. Tobias Theys & Nick Deschacht & Stef Adriaenssens & Dieter Verhaest, 2019. "The evolution of inter-regional spatial mismatch in the USA: The role of skills and spatial structure," Urban Studies, Urban Studies Journal Limited, vol. 56(13), pages 2654-2669, October.
    20. Merlin, Louis A. & Hu, Lingqian, 2017. "Does competition matter in measures of job accessibility? Explaining employment in Los Angeles," Journal of Transport Geography, Elsevier, vol. 64(C), pages 77-88.
    21. Kelobonye, Keone & Zhou, Heng & McCarney, Gary & Xia, Jianhong (Cecilia), 2020. "Measuring the accessibility and spatial equity of urban services under competition using the cumulative opportunities measure," Journal of Transport Geography, Elsevier, vol. 85(C).

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    Keywords

    geo-referenced micro-data; Paris region; job accessibility measurement;
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