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The impact of spatial clustering of occupation on commuting time and employment status

Author

Listed:
  • Tamás Bakó

    (Institute of Economics, Centre for Economic and Regional Studies,Budapest, Hungary andBudapest Metropolitan University, Hungary)

  • Judit Kálmán

    (Institute of Economics, Centre for Economic and Regional Studies,Budapest, Hungary andCorvinus University Budapest, Hungary)

Abstract

In this study we reveal the impact of spatial clustering of occupations on the probability of employment and commuting time, with particular emphasis on differences between genders and household types. Based on Hungarian 2011 census data our research confirmed previous results of some USA studies according to which women work in less spatially clustered occupations compared to men. Our most important result is that more clustered the occupation, the longer the commuting time, and the lower the probability of employment. The effect of occupational clustering on commuting time is larger for women regardless of household type and for those living in a relationship compared to singles. Our further result is that the greater the occupational diversity of the place of residence, the shorter the commuting time and higher the probability of employment, and the occupational diversity of the place of residence modifies the effect of occupational clustering on commuting time.

Suggested Citation

  • Tamás Bakó & Judit Kálmán, 2022. "The impact of spatial clustering of occupation on commuting time and employment status," CERS-IE WORKING PAPERS 2206, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:discpr:2206
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    References listed on IDEAS

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    3. Stuart S. Rosenthal & William C. Strange, 2012. "Female Entrepreneurship, Agglomeration, and a New Spatial Mismatch," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 764-788, August.
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    5. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    6. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Commuting time; occupations; employment probabilities;
    All these keywords.

    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)
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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