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Specification issues in a generalised random parameters attribute nonattendance model

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  • Collins, Andrew T.
  • Rose, John M.
  • Hensher, David A.

Abstract

An extensive literature has recognised that when travel choices are made, only a subset of the attributes of the choice alternatives may be considered or attended to by each decision maker. Numerous econometric approaches have been employed to identify attribute nonattendance (ANA), with the most prevalent in the literature being an adaptation of the latent class model. However, the two latent class structures so far employed either incur a potentially very high parametric cost, or rely on an assumption that nonattendance is independent across all attributes. We present a generalised model that allows for an arbitrary degree of correlation of nonattendance across attributes. In the presented stated choice study investigating short haul flights, this generalised model outperforms the existing approaches. Like two recent papers, the model handles both ANA and preference heterogeneity by combining continuously distributed random parameters with latent classes. However, we present recommendations regarding a number of identification issues stemming from the combination of these two forms of random parameters not covered in those papers. Further, covariates can be introduced into our generalised model to allow insights to be gained into ANA behaviour. We investigate stated ANA as a covariate, and find inferred ANA rates to be more aligned with stated ANA responses than alternative methods.

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  • Collins, Andrew T. & Rose, John M. & Hensher, David A., 2013. "Specification issues in a generalised random parameters attribute nonattendance model," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 234-253.
  • Handle: RePEc:eee:transb:v:56:y:2013:i:c:p:234-253
    DOI: 10.1016/j.trb.2013.08.001
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    References listed on IDEAS

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    7. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    8. 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.
    9. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach," Tinbergen Institute Discussion Papers 20-061/III, Tinbergen Institute.
    10. Dalemans, Floris & Muys, Bart & Verwimp, Anne & Van den Broeck, Goedele & Bohra, Babita & Sharma, Navin & Gowda, Balakrishna & Tollens, Eric & Maertens, Miet, 2018. "Redesigning oilseed tree biofuel systems in India," Energy Policy, Elsevier, vol. 115(C), pages 631-643.
    11. Dam, Thi Huyen Trang & Tur-Cardona, Juan & Speelman, Stijn & Amjath-Babu, T.S. & Sam, Anu Susan & Zander, Peter, 2021. "Incremental and transformative adaptation preferences of rice farmers against increasing soil salinity - Evidence from choice experiments in north central Vietnam," Agricultural Systems, Elsevier, vol. 190(C).
    12. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Is there a systematic relationship between random parameters and process heuristics?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 160-177.
    13. Gelaw, Fekadu & Speelman, Stijn & Van Huylenbroeck, Guido, 2016. "Farmers’ marketing preferences in local coffee markets: Evidence from a choice experiment in Ethiopia," Food Policy, Elsevier, vol. 61(C), pages 92-102.
    14. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    15. Daniel R. Petrolia & Matthew G. Interis & Joonghyun Hwang, 2018. "Single-Choice, Repeated-Choice, and Best-Worst Scaling Elicitation Formats: Do Results Differ and by How Much?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 365-393, February.
    16. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2020. "Inferring attribute non-attendance using eye tracking in choice-based conjoint analysis," Journal of Business Research, Elsevier, vol. 111(C), pages 290-304.
    17. Weller, Priska & Oehlmann, Malte & Mariel, Petr & Meyerhoff, Jürgen, 2014. "Stated and inferred attribute non-attendance in a design of designs approach," Journal of choice modelling, Elsevier, vol. 11(C), pages 43-56.

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