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

Hong Il Yoo and Denise Doiron ()

No 2012-16, Discussion Papers from School of Economics, The University of New South Wales

Abstract: We analyse stated preference data over nursing jobs collected from two leading types of best-worst discrete choice experiments (DCEs): a traditional DCE involving choice over alternative jobs (BWL) and a newly-developed DCE where respondents choose best and worst job attributes (BWT). The latter allows identi cation 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 traditional DCE. Rather than caused by the use of heuristics in BWL, we nd that respondents nd it dicult and/or are reluctant to directly compare money with other attributes in BWT.

Keywords: complex discrete choice experiments; preference elicitation; rank-ordered data; latent classes; heteroskedastic logits; maximum-di erence models. (search for similar items in EconPapers)
JEL-codes: C23 C25 C81 J44 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2012-02
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Journal Article: The use of alternative preference elicitation methods in complex discrete choice experiments (2013)
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