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Measurement Biases in Panel Data

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  • Meurs, Henk
  • Van Wissen, Leo
  • Visser, Jacqueline

Abstract

The objective of this paper is to examine reporting errors in panel data obtained from multi-day travel diaries. A distinction is made between within and between wave biases. The former leads to an increase in under-reporting associated with the number of days the diary is kept. The latter is related to the number of waves respondents have been participating, so-called panel experience. These biases imply that observed mobility changes between waves are partly due to reporting errors: without controlling for them, changes in mobility can not be inferred from the data. An important cause of these measurement errors is the increase in the number of days on which no trips at all were reported. In addition, shorter trips and less complex chains are more susceptible to underreporting. The methodology used in this paper provides a means of dealing with these problems. Attrition is taken into account by a rather simple measure. The paper concludes with a number of suggestions for sample and survey design.

Suggested Citation

  • Meurs, Henk & Van Wissen, Leo & Visser, Jacqueline, 1989. "Measurement Biases in Panel Data," University of California Transportation Center, Working Papers qt00q1x266, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt00q1x266
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    Cited by:

    1. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt1676t0bp, University of California Transportation Center.
    2. Golob, Thomas F. & Golob, Jacqueline M., 1989. "Practical Considerations in the Development of a Transit Users Panel," University of California Transportation Center, Working Papers qt2053v9mz, University of California Transportation Center.
    3. Bach, Ruben & Eckman, Stephanie, 2017. "Does participating in a panel survey change respondents' labor market behavior?," IAB Discussion Paper 201715, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Andrew Halpern-Manners & John Warren, 2012. "Panel Conditioning in Longitudinal Studies: Evidence From Labor Force Items in the Current Population Survey," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1499-1519, November.
    5. Golob, Thomas F. & Golob, Jacqueline M., 1989. "Practical Consideration in the Development of a Transit Users Panel," University of California Transportation Center, Working Papers qt56q060sc, University of California Transportation Center.
    6. Alice Barth, 2016. "The changing nature of attitude constructs: an application of multiple correspondence analysis on gender role attitudes," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(4), pages 1507-1523, July.
    7. Das, J.W.M. & Toepoel, V. & van Soest, A.H.O., 2007. "Can I use a Panel? Panel Conditioning and Attrition Bias in Panel Surveys," Other publications TiSEM 9407cc7a-23f1-49b9-990d-8, Tilburg University, School of Economics and Management.
    8. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt2t18b4q9, University of California Transportation Center.
    9. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.
    10. Toepoel, V. & Das, J.W.M. & van Soest, A.H.O., 2008. "Design Effects in Web Surveys : Comparing Trained and Fresh Respondents," Other publications TiSEM 4c8b40aa-7557-4844-9474-b, Tilburg University, School of Economics and Management.
    11. Kitamura, Ryuichi, 1990. "Panel Analysis in Transportation Planning: An Overview," University of California Transportation Center, Working Papers qt86v0f7zh, University of California Transportation Center.
    12. La Paix Puello, Lissy & Olde-Kalter, Marie-José & Geurs, Karst T., 2017. "Measurement of non-random attrition effects on mobility rates using trip diaries data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 51-64.

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    Social and Behavioral Sciences;

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