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Modeling Non-Ignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling

Author

Listed:
  • Brownstone, D.
  • Golob, T.F.
  • Kazimi, C.

Abstract

Modern panel surveys frequently suffer from high and non-ignorable attrition, and transportation surveys suffer from poor travel estimates. We illustrate the impact of attrition and measurement error on a standard conditional logit model of commuters' mode choice (solo drive in free lanes, pay to solo drive in the carpool lanes, or carpool for free in carpool lanes).

Suggested Citation

  • Brownstone, D. & Golob, T.F. & Kazimi, C., 1999. "Modeling Non-Ignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling," Papers 99-00-06, California Irvine - School of Social Sciences.
    • Handle: RePEc:fth:calirv:99-00-06
    as

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    References listed on IDEAS

    as
    1. Imbens, Guido W, 1992. "An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling," Econometrica, Econometric Society, vol. 60(5), pages 1187-1214, September.
    2. Calfee, John & Winston, Clifford, 1998. "The value of automobile travel time: implications for congestion policy," Journal of Public Economics, Elsevier, vol. 69(1), pages 83-102, July.
    3. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
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    Citations

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    Cited by:

    1. Steimetz, Seiji S.C. & Brownstone, David, 2005. "Estimating commuters' "value of time" with noisy data: a multiple imputation approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 865-889, December.
    2. Small, Kenneth A. & Yan, Jia, 2001. "The Value of "Value Pricing" of Roads: Second-Best Pricing and Product Differentiation," Journal of Urban Economics, Elsevier, vol. 49(2), pages 310-336, March.
    3. Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
    4. David Brownstone & Robert Valletta, 2001. "The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 129-141, Fall.
    5. Golob, Thomas F., 1999. "Joint Models of Attitudes and Behavior in Evaluation of the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt0zs0z136, University of California Transportation Center.
    6. Steimetz, Siji S.C. & Brownstone, David, 2004. "Estimating Commuters' "Value of Time" and Noisy Data: a Multiple Imputation Approach," University of California Transportation Center, Working Papers qt4qh7m2d0, University of California Transportation Center.
    7. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.
    8. Shi, Miaoying & Yin, Runsheng & Lv, Hongdi, 2017. "An empirical analysis of the driving forces of forest cover change in northeast China," Forest Policy and Economics, Elsevier, vol. 78(C), pages 78-87.
    9. Golob, Thomas F., 1999. "Joint Models of Attitudes and Behavior in Evaluation of the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt16q7w28k, University of California Transportation Center.

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    More about this item

    Keywords

    SURVEYS ; ECONOMIC MODELS ; FORECASTS;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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