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Measuring Commuting in the American Time Use Survey

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  • Kimbrough, Gray

Abstract

Research into the relationships between commuting and other activities has been hampered by the lack of suitably comprehensive datasets. This paper identifies a possible source of detailed information for such studies, the American Time Use Survey (ATUS). This paper surveys approaches used by researchers to analyze commuting in the ATUS and outlines a method of measuring commuting in a clear and consistent way. This analysis details the advantages of this method over other approaches. Commuting measured in the ATUS using this methodology is shown to be consistent with commuting measures in other large, nationally representative studies. The proposed methodology makes possible a range of analyses exploiting the unique information in the ATUS.

Suggested Citation

  • Kimbrough, Gray, 2019. "Measuring Commuting in the American Time Use Survey," MPRA Paper 93239, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:93239
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    References listed on IDEAS

    as
    1. Stephen DeLoach & Thomas Tiemann, 2012. "Not driving alone? American commuting in the twenty-first century," Transportation, Springer, vol. 39(3), pages 521-537, May.
    2. Gimenez-Nadal, J. Ignacio & Molina, José Alberto & Velilla, Jorge, 2016. "Spatial Distribution of US Employment in an Urban Wage-Efficiency Setting," IZA Discussion Papers 9720, Institute of Labor Economics (IZA).
    3. Ignacio Gimenez-Nadal, J. & Molina, Jose Alberto & Velilla, Jorge, 2018. "The commuting behavior of workers in the United States: Differences between the employed and the self-employed," Journal of Transport Geography, Elsevier, vol. 66(C), pages 19-29.
    4. Karen S. Hamrick & David Hopkins, 2012. "The time cost of access to food – Distance to the grocery store as measured in minutes," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 9(1), pages 28-58, November.
    5. Kimbrough, Gray, 2016. "What Drives Gender Differences in Commuting Behavior: Evidence from the American Time Use Survey," UNCG Economics Working Papers 16-4, University of North Carolina at Greensboro, Department of Economics, revised 10 Jun 2016.
    6. Gray Kimbrough, 2016. "What Drives Gender Differences in Commuting? Evidence from the American Time Use Survey," 2016 Papers pki275, Job Market Papers.
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    Cited by:

    1. Ignacio Gimenez-Nadal, J. & Molina, Jose Alberto & Velilla, Jorge, 2018. "The commuting behavior of workers in the United States: Differences between the employed and the self-employed," Journal of Transport Geography, Elsevier, vol. 66(C), pages 19-29.
    2. Pabilonia, Sabrina Wulff & Vernon, Victoria, 2020. "Telework and Time Use in the United States," GLO Discussion Paper Series 546, Global Labor Organization (GLO).
    3. Kimbrough, Gray, 2016. "What Drives Gender Differences in Commuting Behavior: Evidence from the American Time Use Survey," UNCG Economics Working Papers 16-4, University of North Carolina at Greensboro, Department of Economics, revised 10 Jun 2016.
    4. Gray Kimbrough, 2016. "What Drives Gender Differences in Commuting? Evidence from the American Time Use Survey," 2016 Papers pki275, Job Market Papers.
    5. Pabilonia, Sabrina Wulff & Vernon, Victoria, 2021. "Telework, Wages, and Time Use in the United States," GLO Discussion Paper Series 546 [rev.], Global Labor Organization (GLO).

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    More about this item

    Keywords

    commuting; time use data; travel classification; American Time Use Survey;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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