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The spatial decay in commuting probabilities: Employment potential vs. commuting gravity

Author

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  • Ahlfeldt, Gabriel M.
  • Wendland, Nicolai

Abstract

We show that an employment potential capitalisation model produces estimates of the spatial decay in employment impact on land prices that are very close to the decay observed in commuting data.

Suggested Citation

  • Ahlfeldt, Gabriel M. & Wendland, Nicolai, 2016. "The spatial decay in commuting probabilities: Employment potential vs. commuting gravity," Economics Letters, Elsevier, vol. 143(C), pages 125-129.
    • Handle: RePEc:eee:ecolet:v:143:y:2016:i:c:p:125-129
    DOI: 10.1016/j.econlet.2016.04.004
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    Cited by:

    1. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
    2. Kala Seetharam Sridhar & Shivakumar Nayka, 2022. "Determinants of Commute Time in an Indian City," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 16(1), pages 49-75, February.
    3. Riukula, Krista & Väänänen, Touko, 2025. "Who Gains from Agglomeration? The Wage, Productivity, and Cost Effects of Transport Improvements on Firms and Workers," IZA Discussion Papers 18103, Institute of Labor Economics (IZA).
    4. Morgan Ubeda, 2020. "Local Amenities, Commuting Costs and Income Disparities Within Cities," Working Papers halshs-03082448, HAL.
    5. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    6. Keisuke KONDO, 2020. "A Structural Estimation of the Disutility of Commuting," Discussion papers 20031, Research Institute of Economy, Trade and Industry (RIETI).
    7. Peter Haller & Daniel F. Heuermann, 2020. "Opportunities and competition in thick labor markets: Evidence from plant closures," Journal of Regional Science, Wiley Blackwell, vol. 60(2), pages 273-295, March.
    8. Moises Lenyn Obaco Alvarez & Vicente Royuela & Xavier Vítores, 2016. "Computing functional urban areas using a hierarchical travel time approach," ERSA conference papers ersa16p238, European Regional Science Association.
    9. Mathilde Poulhes, 2017. "From Latin Quarter to Montmartre Investigating Parisian Real-Estate Prices," Working Papers 2017-13, Center for Research in Economics and Statistics.
    10. Seidel, Tobias & Wickerath, Jan, 2020. "Rush hours and urbanization," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    11. Moreno-Monroy, Ana I. & Schiavina, Marcello & Veneri, Paolo, 2021. "Metropolitan areas in the world. Delineation and population trends," Journal of Urban Economics, Elsevier, vol. 125(C).
    12. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.

    More about this item

    Keywords

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    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R28 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Government Policy
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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