Does attribute order influence attribute-information processing in discrete choice experiments?

Ivana Logar, Roy Brouwer and Danny Campbell ()

Resource and Energy Economics, 2020, vol. 60, issue C

Abstract: The existing empirical evidence shows that both contingent valuation and discrete choice experiment (DCE) methods are susceptible to various ordering effects. However, very few studies have analysed attribute-ordering effects in DCEs, and no study has investigated their potential influence on information-processing strategies, such as attribute non-attendance (ANA). This paper tests for attribute-ordering effects and examines whether the order of attributes describing the alternatives affects respondents’ propensity to attend to or ignore an attribute. A split-sample approach is used, where one sample received a DCE version in which the positions of the first and last non-monetary attributes are switched across the sequence of choice tasks compared with the other sample. The results show that attribute order does not affect welfare estimates in a significant way under the standard assumption of full attribute attendance, thus rejecting the notion of procedural bias. However, the welfare estimates for the attributes whose order was reversed and the share of respondents who ignored them differ significantly between the two attribute-ordering treatments once ANA behaviour is accounted for in the estimated choice models. These results highlight the important role of information-processing strategies in the design and evaluation of DCEs.

Keywords: Ordering effects; Information processing; Attribute non-attendance; Discrete choice experiment; Stated preferences; Convergent validity (search for similar items in EconPapers)
JEL-codes: C25 D12 Q25 Q51 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:resene:v:60:y:2020:i:c:s0928765518302409

DOI: 10.1016/j.reseneeco.2020.101164

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