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

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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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    1. Patricia Mokhtarian & Ilan Salomon & Sangho Choo, 2005. "Measuring the Measurable: Why can’t we Agree on the Number of Telecommuters in the U.S.?," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(4), pages 423-452, August.
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    4. Walls, Margaret & Safirova, Elena, 2004. "A Review of the Literature on Telecommuting and Its Implications for Vehicle Travel and Emissions," Discussion Papers 10492, Resources for the Future.
    5. Tang, Wei & Mokhtarian, Patricia L & Handy, Susan L, 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 qt13x2q3rb, Institute of Transportation Studies, UC Davis.
    6. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
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    8. Mokhtarian, Patricia L. & Salomon, Ilan, 1996. "Modeling the Choice of Telecommuting 2: A Case of the Preferred Impossible Alternative," University of California Transportation Center, Working Papers qt7br7039r, University of California Transportation Center.
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    Cited by:

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    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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