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Are telecommuting and personal travel complements or substitutes?

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  • Pengyu Zhu

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  • Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    • Handle: RePEc:spr:anresc:v:48:y:2012:i:2:p:619-639
    DOI: 10.1007/s00168-011-0460-6
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    References listed on IDEAS

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    1. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 83-94, Spring.
    2. Ory, David T & Mokhtarian, Patricia L, 2005. "The Impact of Telecommuting on Commute Time, Distance, and Speed of State of California Workers," Institute of Transportation Studies, Working Paper Series qt8rg6h7gv, Institute of Transportation Studies, UC Davis.
    3. James J. Heckman & Thomas E. MaCurdy, 1985. "A Simultaneous Equations Linear Probability Model," Canadian Journal of Economics, Canadian Economics Association, vol. 18(1), pages 28-37, February.
    4. Patricia L Mokhtarian & Gustavo O Collantes & Carsten Gertz, 2004. "Telecommuting, Residential Location, and Commute-Distance Traveled: Evidence from State of California Employees," Environment and Planning A, , vol. 36(10), pages 1877-1897, October.
    5. Sangho Choo & Patricia Mokhtarian & Ilan Salomon, 2005. "Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S," Transportation, Springer, vol. 32(1), pages 37-64, January.
    6. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    7. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-298, May.
    8. Mokhtarian, Patricia L. & Handy, Susan L. & Salomon, Ilan, 1995. "Methodological issues in the estimation of the travel, energy, and air quality impacts of telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(4), pages 283-302, July.
    9. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    10. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    11. Patricia L. Mokhtarian, 1998. "A Synthetic Approach to Estimating the Impacts of Telecommuting on Travel," Urban Studies, Urban Studies Journal Limited, vol. 35(2), pages 215-241, February.
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    Keywords

    R41;

    JEL classification:

    • 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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