Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity

Using multiple choice tasks per respondent in discrete choice experiment studies increases the amount of available information. However, respondents' learning and fatigue may lead to changes in observed utility function preference (taste) parameters, as well as the variance in its error term (s...

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Main Authors: Czajkowski, M., Giergiczny, M., Greene, William
Format: Journal Article
Published: 2014
Online Access:http://hdl.handle.net/20.500.11937/21277
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author Czajkowski, M.
Giergiczny, M.
Greene, William
author_facet Czajkowski, M.
Giergiczny, M.
Greene, William
author_sort Czajkowski, M.
building Curtin Institutional Repository
collection Online Access
description Using multiple choice tasks per respondent in discrete choice experiment studies increases the amount of available information. However, respondents' learning and fatigue may lead to changes in observed utility function preference (taste) parameters, as well as the variance in its error term (scale); they need to be controlled to avoid potential bias. A sizable body of empirical research offers mixed evidence in terms of whether these ordering effects are observed. We point to a significant component in explaining these differences; we show how accounting for unobservable preference and scale heterogeneity can influence the magnitude of observed ordering effects. © 2014 by the Board of Regents of the University of Wisconsin System.
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spelling curtin-20.500.11937-212772017-01-30T12:24:16Z Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity Czajkowski, M. Giergiczny, M. Greene, William Using multiple choice tasks per respondent in discrete choice experiment studies increases the amount of available information. However, respondents' learning and fatigue may lead to changes in observed utility function preference (taste) parameters, as well as the variance in its error term (scale); they need to be controlled to avoid potential bias. A sizable body of empirical research offers mixed evidence in terms of whether these ordering effects are observed. We point to a significant component in explaining these differences; we show how accounting for unobservable preference and scale heterogeneity can influence the magnitude of observed ordering effects. © 2014 by the Board of Regents of the University of Wisconsin System. 2014 Journal Article http://hdl.handle.net/20.500.11937/21277 restricted
spellingShingle Czajkowski, M.
Giergiczny, M.
Greene, William
Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
title Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
title_full Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
title_fullStr Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
title_full_unstemmed Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
title_short Learning and fatigue effects revisited: Investigating the effects of accounting for unobservable preference and scale heterogeneity
title_sort learning and fatigue effects revisited: investigating the effects of accounting for unobservable preference and scale heterogeneity
url http://hdl.handle.net/20.500.11937/21277