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

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  • Ahlfeldt, Gabriel M.
  • Wendland, Nicolai

Abstract

We show that an employment potential capitalisation model, which establishes a spatial relationship between the price of land and the spatial distribution of employment through a transport matrix, produces estimates of the spatial decay in bilateral commuting probabilities that are very close to the decay observed in commuting data.

Suggested Citation

  • Ahlfeldt, Gabriel M. & Wendland, Nicolai, 2015. "The spatial decay in commuting probabilities: employment potential vs. commuting gravity," LSE Research Online Documents on Economics 65023, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:65023
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    File URL: http://eprints.lse.ac.uk/65023/
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    References listed on IDEAS

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    2. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2012. "The Costs of Agglomeration: Land Prices in French Cities," IZA Discussion Papers 7027, Institute of Labor Economics (IZA).
    3. Liv Osland & Inge Thorsen, 2008. "Effects on Housing Prices of Urban Attraction and Labor-Market Accessibility," Environment and Planning A, , vol. 40(10), pages 2490-2509, October.
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    5. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
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    7. Wrede, Matthias, 2015. "A continuous spatial choice logit model of a polycentric city," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 68-73.
    8. Camarero, Mariam & Gómez, Estrella & Tamarit, Cecilio, 2014. "Is the ‘euro effect’ on trade so small after all? New evidence using gravity equations with panel cointegration techniques," Economics Letters, Elsevier, vol. 124(1), pages 140-142.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Mathilde Poulhes, 2017. "From Latin Quarter to Montmartre Investigating Parisian Real-Estate Prices," Working Papers 2017-13, Center for Research in Economics and Statistics.
    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. KONDO Keisuke, 2020. "A Structural Estimation of the Disutility of Commuting," Discussion papers 20031, Research Institute of Economy, Trade and Industry (RIETI).

    More about this item

    Keywords

    accessibility; commuting; employment; gravity; potential;

    JEL classification:

    • 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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