Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/11534
Appears in Collections:Economics Conference Papers and Proceedings
Authors: Campbell, Danny
Boeri, Marco
Doherty, Edel
Hutchinson, W George
Contact Email: danny.campbell@stir.ac.uk
Title: Learning and fatigue in discrete choice experiments: addressing preference and variance instability
Citation: Campbell D, Boeri M, Doherty E & Hutchinson WG Learning and fatigue in discrete choice experiments: addressing preference and variance instability In: . 18th Annual Conference of the European Association of Environmental Economists Conference, 2011, 29.6.2011 - 2.7.2011, Rome, Italy.
Issue Date: 29-Jun-2011
Conference Name: 18th Annual Conference of the European Association of Environmental Economists Conference, 2011
Conference Dates: 2011-06-29T00:00:00Z
Conference Location: Rome, Italy
Abstract: In a typical discrete choice experiment respondents are asked to make choices over a series of choice tasks. While the repeated nature of these choices is advantageous from a sampling eciency perspective, discrete choice analysts have, for the most part, neglected the fact that there may be systematic dierences across the tasks as a result of learning and/or fatigue. The few studies that have focused on the topic have assumed that all respondents follow the same pattern of learning and fatigue. Using a latent class modelling approach, we demonstrate that this may not be the case and that patterns of learning and fatigue may actually only be exhibited by a small subset of respondents. Moreover, unlike previous studies that have approached the issue of learning and fatigue from the viewpoint that it influences either the stability in preferences or variances, in this paper we implement a scale-adjusted latent class model to uncover both types of instability simultaneously. Findings from this model highlight the advantages, in terms of model fit and interpretation, that can be achieved when both types of instability are addressed concurrently. We utilise data collected to estimate the existence value of rare and endangered fish species in Ireland as our empirical case-study.
Type: Conference Paper
Status: Publisher version
Rights: The publisher has not responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
URI: http://hdl.handle.net/1893/11534
URL: http://www.webmeets.com/EAERE/2011/prog/viewpaper.asp?pid=1198
Affiliation: Economics
Queen's University Belfast
Queen's University Belfast
Queen's University Belfast

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