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Comparing the performance of different approaches to deal with attribute non-attendance in discrete choice experiments: a simulation experiment

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  • Hoyos Ramos, David
  • Mariel Chladkova, Petr
  • Meyerhoff, Jürgen

Abstract

There is a growing body of literature acknowledging that respondents to DCE often use simplifying strategies, like ignoring one or several attributes to provide with their choices. Two main approaches have appeared to analyse the impact of attribute non-attendance on welfare estimates: the stated non-attendance (SNA) approach and the analytical non-attendance (ANA) approach. Using simulation experiments, this paper investigates the results and reliability of the approaches developed in the recent years in order to deal with attribute non-attendance. The simulation results indicate that the treatments so far proposed are not in all cases suitable. In the absence of correlated errors, the SNA approach seems to provide with unbiased welfare estimates but the ANA approach fails to do so. On the other hand, in the presence of correlated errors, none of the approaches seems to provide with unbiased WTP estimates in all cases.

Suggested Citation

  • Hoyos Ramos, David & Mariel Chladkova, Petr & Meyerhoff, Jürgen, 2010. "Comparing the performance of different approaches to deal with attribute non-attendance in discrete choice experiments: a simulation experiment," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    • Handle: RePEc:ehu:biltok:5573
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    File URL: https://addi.ehu.es/handle/10810/5573
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    References listed on IDEAS

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    1. David A. Hensher, 2008. "Joint Estimation of Process and Outcome in Choice Experiments and Implications for Willingness to Pay," Journal of Transport Economics and Policy, University of Bath, vol. 42(2), pages 297-322, May.
    2. Danny Campbell & W. Hutchinson & Riccardo Scarpa, 2008. "Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 401-417, November.
    3. Riccardo Scarpa & Mara Thiene & David A. Hensher, 2010. "Monitoring Choice Task Attribute Attendance in Nonmarket Valuation of Multiple Park Management Services: Does It Matter?," Land Economics, University of Wisconsin Press, vol. 86(4), pages 817-839.
    4. William Henry Kaye-Blake & Walt L. Abell & Eva Zellman, 2009. "Respondents' ignoring of attribute information in a choice modelling survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 547-564, October.
    5. Puckett, Sean M. & Hensher, David A., 2009. "Revealing the extent of process heterogeneity in choice analysis: An empirical assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 117-126, February.
    6. David A. Hensher & Stewart Jones & William H. Greene, 2007. "An Error Component Logit Analysis of Corporate Bankruptcy and Insolvency Risk in Australia," The Economic Record, The Economic Society of Australia, vol. 83(260), pages 86-103, March.
    7. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    8. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
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    Cited by:

    1. David Hensher, 2014. "Attribute processing as a behavioural strategy in choice making," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 12, pages 268-289, Edward Elgar Publishing.
    2. Yangui, A. & Akaichi, F. & Gil, J.M., 2018. "Investigating attribute non-attendance effects in conjoint analysis methods performance: Choice experiment, ranking conjoint analysis and best worst scaling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275989, International Association of Agricultural Economists.

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