The use of alternative preference elicitation methods in complex discrete choice experiments

Hong Il Yoo and Denise Doiron ()

Journal of Health Economics, 2013, vol. 32, issue 6, 1166-1179

Abstract: We analyse stated preference data over nursing jobs collected from two different discrete choice experiments: a multi-profile case best-worst scaling experiment (BWS) prompting selection of the best and worst among alternative jobs, and a profile case BWS wherein the respondents choose the best and worst job attributes. The latter allows identification of additional utility parameters and is believed to be cognitively easier. Results suggest that respondents place greater value on pecuniary over non-pecuniary gains in the multi-profile case. There is little evidence that this discrepancy is induced by the extra cognitive burden of processing several profiles at once in the multi-profile case. We offer thoughts on other likely mechanisms.

Keywords: Discrete choice experiment; Preference elicitation; Rank-ordered data; Latent class logit; Best-worst scaling; Maximum-difference model (search for similar items in EconPapers)
JEL-codes: C23 C25 C81 J44 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (14)

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Working Paper: The use of alternative preference elicitation methods in complex discrete choice experiments (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jhecon:v:32:y:2013:i:6:p:1166-1179

DOI: 10.1016/j.jhealeco.2013.09.009

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