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A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency

Author

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  • Ipek N Sener

    (Texas Transportation Institute, Texas A & M University System, 1106 Clayton Ln, Suite 300E, Austin, TX 78723, USA)

  • Chandra R Bhat

    (Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 1 University Station, C1761, Austin, TX 78712-0278, USA)

Abstract

The objective of this study is to contribute to the telecommuting literature by jointly examining the propensity and frequency of workers to telecommute, using a rich set of individual demographics, work-related and industry characteristics, household demographics, and commute-trip/work-location characteristics. The data are drawn from the Chicago Regional Household Travel Inventory, collected between 2007 and 2008. From a methodological standpoint, the current study adopts a copula approach that allows the testing of several types of dependency structures between the telecommuting choice and frequency behavioral processes. To our knowledge, this is the first formulation and application in the econometric literature of a copula approach for the case of a binary self-selection mechanism with an ordered-response outcome. The results clearly indicate that telecommuting choice and the frequency of telecommuting are governed by quite different underlying behavioral processes. For instance, women are less likely to telecommute relative to men, though there is no statistically significant difference in telecommuting frequency propensity between men and women telecommuters. Similarly, full-time employed individuals (≥30 hours per week) are more likely to have a telecommuting arrangement than those working part-time (

Suggested Citation

  • Ipek N Sener & Chandra R Bhat, 2011. "A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency," Environment and Planning A, , vol. 43(1), pages 126-145, January.
    • Handle: RePEc:sae:envira:v:43:y:2011:i:1:p:126-145
    DOI: 10.1068/a43133
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    References listed on IDEAS

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    8. Tang, Wei & Mokhtarian, Patricia & Handy, Susan, 2008. "The Role of Neighborhood Characteristics in the Adoption and Frequency of Working at Home: Empirical Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt9rg8w9c4, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    2. de Abreu e Silva, João & Melo, Patrícia C., 2018. "Does home-based telework reduce household total travel? A path analysis using single and two worker British households," Journal of Transport Geography, Elsevier, vol. 73(C), pages 148-162.
    3. Shin, Eun Jin, 2019. "Self-employment and travel behavior: A case study of workers in central Puget Sound," Transport Policy, Elsevier, vol. 73(C), pages 101-112.

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