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Sample Selection Bias in Models of Commuting Time

Author

Listed:
  • Thomas J. Cooke

    (Department of Geography, University of Connecticut, Storrs, CT06269, USA, tcooke@uconn.edu)

  • Stephen L. Ross

    (Department of Economics, University of Connecticut, Storrs, CT 06269, USA, ross@jayhawk.econ.uconn.edu)

Abstract

This research conceptualises, measures and evaluates the effects of sample selection bias on models of commuting time. Data are drawn from the Public Use Microdata Sample of the 1990 US Census for the Boston metropolitan area. The major finding of the analysis is that the process that determines entry into employment introduces sample selection bias into the estimates of commuting-time models. The degree of sample selection bias observed differs by race/ethnicity and gender on such key variables as marital and parental status and reliance on public transport, because the influence of these variables on employment differs by race/ethnicity and gender. These variables are important for evaluating both the spatial mismatch and the spatial entrapment hypotheses and therefore the contribution of previous analyses should be reconsidered.

Suggested Citation

  • Thomas J. Cooke & Stephen L. Ross, 1999. "Sample Selection Bias in Models of Commuting Time," Urban Studies, Urban Studies Journal Limited, vol. 36(9), pages 1597-1611, August.
    • Handle: RePEc:sae:urbstu:v:36:y:1999:i:9:p:1597-1611
    DOI: 10.1080/0042098992944
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    References listed on IDEAS

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    1. Zax, Jeffrey S. & Kain, John F., 1991. "Commutes, quits, and moves," Journal of Urban Economics, Elsevier, vol. 29(2), pages 153-165, March.
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    9. Gabriel, Stuart A. & Rosenthal, Stuart S., 1996. "Commutes, Neighborhood Effects, and Earnings: An Analysis of Racial Discrimination and Compensating Differentials," Journal of Urban Economics, Elsevier, vol. 40(1), pages 61-83, July.
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    Cited by:

    1. Maarten van Ham & Clara H. Mulder & Pieter Hooimeijer, 2001. "Local Underemployment and the Discouraged Worker Effect," Urban Studies, Urban Studies Journal Limited, vol. 38(10), pages 1733-1751, September.
    2. Kiril Stanilov, 2003. "Accessibility and Land Use: The Case of Suburban Seattle, 1960-1990," Regional Studies, Taylor & Francis Journals, vol. 37(8), pages 783-794.
    3. Valerie Preston & Sara McLafferty, 1999. "articles: Spatial mismatch research in the 1990s: progress and potential," Papers in Regional Science, Springer;Regional Science Association International, vol. 78(4), pages 387-402.
    4. Devajyoti Deka, 2014. "The Living, Moving and Travel Behaviour of the Growing American Solo: Implications for Cities," Urban Studies, Urban Studies Journal Limited, vol. 51(4), pages 634-654, March.
    5. John Östh, 2011. "Introducing a Method for the Computation of Doubly Constrained Accessibility Models in Larger Datasets," Networks and Spatial Economics, Springer, vol. 11(4), pages 581-620, December.
    6. Hazans, Mihails, 2003. "Commuting in the Baltic States: Patterns, determinants and gains," ZEI Working Papers B 02-2003, University of Bonn, ZEI - Center for European Integration Studies.
    7. 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.
    8. Deka, Devajyoti, 2013. "An explanation of the relationship between adults’ work trip mode and children’s school trip mode through the Heckman approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 54-63.
    9. Hazans, Mihails, 2002. "Social returns to commuting in the Baltic states," ERSA conference papers ersa02p232, European Regional Science Association.

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