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

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

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.

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File URL: http://hdl.handle.net/10810/5573
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Paper provided by Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística) in its series BILTOKI with number 2010-01.

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Date of creation: 2010
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Handle: RePEc:ehu:biltok:201001
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Order Information: Postal: Dpto. de Econometría y Estadística, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
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  1. 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, 03.
  2. Kaye-Blake, William & Abell, Walter L. & Zellman, Eva, 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), December.
  3. 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, Foundation for the European Review of Agricultural Economics, vol. 36(2), pages 151-174, June.
  4. 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.
  5. 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.
  6. 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.
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