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Influence of rudimentary attribute non-attendance (ANA) on choice experiment parameter estimates and design efficiency: A Monte Carlo Simulation analysis

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  • Kravchenko, Alex

Abstract

The issue of attribute non-attendance (ANA) has been gaining increasing attention in the field of choice modeling. While the modeling issues, effects on parameter estimation, and, to a lesser degree, causes of ANA have been the main concern of research in this area, to date few studies have produced generalizable results about the effects of ANA on parameter estimates and little attention has been paid to the efficiency of experimental design in the face of ANA. This paper looks at these issues and also introduces a distinction between random and systematic ANA, which is defined to be ANA that is persistent in the face of choice task and/or attribute order randomization. As part of this study, Monte Carlo simulations are run to examine the effects of ANA on parameter estimation, under the conditions of random and systematic ANA. Simulations with respondent heterogeneity are also carried out to test the efficiency of latent class model estimations. The models perform well, but it is argued that the underlying assumption of serial ANA is indistinguishable from zero preferences with respondent heterogeneity, and such ANA is inconsequential to the choice made (i.e. the same choice is made whether or not the attribute is being attended to). In contrast, when a non-zero preference attribute is ignored, the latent model does not pick up the effects of ANA and additional data is required. Not incorporating ANA data significantly biases estimates of all parameters, especially when the marginal effects of the ignored attribute are relatively large. Finally, it is shown that orthogonal design is significantly disturbed by systematic ANA, and there is scope to improve it by using a D-efficient design.

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  • Kravchenko, Alex, 2014. "Influence of rudimentary attribute non-attendance (ANA) on choice experiment parameter estimates and design efficiency: A Monte Carlo Simulation analysis," Journal of choice modelling, Elsevier, vol. 11(C), pages 57-68.
    • Handle: RePEc:eee:eejocm:v:11:y:2014:i:c:p:57-68
    DOI: 10.1016/j.jocm.2014.02.002
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    References listed on IDEAS

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    1. Kragt, Marit Ellen, 2012. "Attribute attendance in choice experiments: Exploring issues of scale and attribute farming," Working Papers 161635, University of Western Australia, School of Agricultural and Resource Economics.
    2. 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.
    3. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, October.
    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. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    6. David Hensher & William Greene, 2010. "Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification," Empirical Economics, Springer, vol. 39(2), pages 413-426, October.
    7. Ball, Christopher, 1997. "A Comparison of Single-Step and Multiple-Step Transition Analyses of Multiattribute Decision Strategies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 195-204, March.
    8. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    9. Campbell, Danny & Lorimer, Victoria & Aravena, Claudia & Hutchinson, W. George, 2010. "Attribute processing in environmental choice analysis: implications for willingness to pay," 84th Annual Conference, March 29-31, 2010, Edinburgh, Scotland 91718, Agricultural Economics Society.
    10. Rolfe, John & Bennett, Jeff, 2009. "The impact of offering two versus three alternatives in choice modelling experiments," Ecological Economics, Elsevier, vol. 68(4), pages 1140-1148, February.
    11. repec:cup:judgdm:v:3:y:2008:i:8:p:641-658 is not listed on IDEAS
    12. 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.
    13. Hensher, David A. & Rose, John M., 2009. "Simplifying choice through attribute preservation or non-attendance: Implications for willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 583-590, July.
    14. repec:ags:uwauwp:123276 is not listed on IDEAS
    15. Puckett, Sean M. & Hensher, David A., 2008. "The role of attribute processing strategies in estimating the preferences of road freight stakeholders," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 379-395, May.
    16. 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.
    Full references (including those not matched with items on IDEAS)

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