Skip to main content

Attribute Specific Impacts of Stated Non-Attendance in Choice Experiments

Mohanty, Suva Kanta, Balcombe, Kelvin, Bennett, Richard, Nocella, Giuseppe, Fraser, Iain (2018) Attribute Specific Impacts of Stated Non-Attendance in Choice Experiments. Journal of Agricultural Economics, 70 (3). pp. 686-704. ISSN 0021-857X. (doi:10.1111/1477-9552.12311) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:71715)

PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only until 15 November 2020.
Contact us about this Publication
Official URL
https://doi.org/10.1111/1477-9552.12311

Abstract

In this paper, we generalise existing approaches to the treatment of stated attribute non‐attendance data in discrete choice experiments by allowing attribute specific impacts. We implement this approach by employing an extended hierarchical Bayes logit model specification. To illustrate this approach, we consider data collected to examine Indian consumers’ preferences for traditional aromatic rice varieties. Our results regarding stated attribute non‐attendance reveal that, our new approach shrinks marginal utilities of non‐attenders substantially compared to stated attenders, with significant differences in the shrinkage between some of the attributes. In addition, our results reveal the way in which non‐attendance of attributes interact with each other and the impact that this has on the distribution of willingness to pay estimates.

Item Type: Article
DOI/Identification number: 10.1111/1477-9552.12311
Uncontrolled keywords: Discrete choice experiment, stated attribute non-attendance, aromatic rice
Divisions: Faculties > Social Sciences > School of Economics
Depositing User: Iain Fraser
Date Deposited: 18 Jan 2019 16:00 UTC
Last Modified: 07 Sep 2020 10:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/71715 (The current URI for this page, for reference purposes)
Fraser, Iain: https://orcid.org/0000-0002-4689-6020
  • Depositors only (login required):