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Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model

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  • Golob, Thomas F.
  • Regan, A C
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    Abstract

    The objective of this research is to understand the demand for information technology among trucking companies. A multivariate discrete choice model is estimated on data from a large-scale survey of the trucking industry in California. This model is designed to identify the influences of each of twenty operational characteristics on the propensity to adopt each of seven different information technologies, while simultaneously allowing the seven error terms to be freely correlated. Results showed that the distinction between for-hire and private fleets is paramount, as is size of the fleet and the provision of intermodal maritime and air services.

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    File URL: http://www.escholarship.org/uc/item/9w1988t7.pdf;origin=repeccitec
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    Bibliographic Info

    Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt9w1988t7.

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    Date of creation: 01 Sep 2002
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    Handle: RePEc:cdl:uctcwp:qt9w1988t7

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    Related research

    Keywords: Information technology; Commercial Vehicle Operations; Freight Transportation; Trucking Operations; Intermodal operations; Intelligent Transportation Systems; Discrete Choice Models; Multivariate Probit; Social and Behavioral Sciences;

    References

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    1. Regan, Amelia C. & Golob, Thomas F., 2000. "Trucking industry perceptions of congestion problems and potential solutions in maritime intermodal operations in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(8), pages 587-605, November.
    2. Ulf Olsson, 1979. "Maximum likelihood estimation of the polychoric correlation coefficient," Psychometrika, Springer, vol. 44(4), pages 443-460, December.
    3. Golob, Thomas F. & Regan, Amelia C., 1999. "Freight industry attitudes towards policies to reduce congestion," University of California Transportation Center, Working Papers qt3fq6x2sq, University of California Transportation Center.
    4. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    5. Keane, Michael & Moffitt, Robert, 1998. "A Structural Model of Multiple Welfare Program Participation and Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 553-89, August.
    6. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-32, November.
    7. Hall, Randolph W. & Intihar, Chris, 1997. "Commercial Vehicle Operations: Government Interfaces And Intelligent Transportation Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9p272488, Institute of Transportation Studies, UC Berkeley.
    8. Golob, Thomas F. & Regan, A C, 1999. "Freight Industry Attitudes Towards Policies to Reduce Congestion," University of California Transportation Center, Working Papers qt57r4d3fd, University of California Transportation Center.
    9. van Wissen, Leo J. & Golob, Thomas F., 1990. "Simultaneous Equation Systems Involving Binary Choice Variables," University of California Transportation Center, Working Papers qt5t28k04n, University of California Transportation Center.
    10. McFadden, Daniel & Ruud, Paul A, 1994. "Estimation by Simulation," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 591-608, November.
    11. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-57, September.
    12. van Wissen, Leo J., 1990. "Simultaneous Equation Systems Involving Binary Choice Variables," University of California Transportation Center, Working Papers qt339562gx, University of California Transportation Center.
    13. P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer, vol. 48(4), pages 493-517, December.
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    Cited by:
    1. Golob, Thomas F. & Regan, Amelia C., 2002. "Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling," University of California Transportation Center, Working Papers qt9q4232hz, University of California Transportation Center.
    2. Golob, Thomas F. & Regan, A C, 2003. "Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling," University of California Transportation Center, Working Papers qt74z234n4, University of California Transportation Center.
    3. Belderbos, Rene & Carree, Martin & Diederen, Bert & Lokshin, Boris & Veugelers, Reinhilde, 2004. "Heterogeneity in R&D cooperation strategies," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1237-1263, November.
    4. Brian Smalkoski & David Levinson, 2005. "Value of Time for Commercial Vehicle Operators," Working Papers 200501, University of Minnesota: Nexus Research Group.
    5. Allen, W. David, 2009. "Interview effects in the reporting of domestic violence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 288-300, March.

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