Addressing elimination and selection by aspects decision rules in discrete choice experiments: does it matter?

Priorities for public health innovations are typically not considered equally by all members of the public. When faced with a choice between various innovation options, it is, therefore, possible that some respondents eliminate and/or select innovations based on certain characteristics. This paper proposes a flexible method for exploring and accommodating situations where respondents exhibit such behaviours, whilst addressing preference heterogeneity. We present an empirical case study on the public’s preferences for health service innovations. We show that allowing for elimination-by-aspects and/or selection-by-aspects behavioural rules leads to substantial improvements in model fit and, importantly, has implications for willingness to pay estimates and scenario analysis.


Issue Date:
2014
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/169839
Total Pages:
30
Series Statement:
4803




 Record created 2017-04-01, last modified 2017-08-22

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