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Modelling heterogeneity in response behaviour towards a sequence of discrete choice questions: a latent class approach

机译:模拟一系列离散选择问题的响应行为的异质性:一种潜在的方法

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摘要

There is a growing body of evidence in the non-market valuation literature suggesting that responses to a sequence of discrete choice questions tend to violate the assumptions typically made by analysts regarding independence of responses and stability of preferences. Heuristics such as value learning and strategic misrepresentation have been offered as explanations for these results. While a few studies have tested these heuristics as competing hypotheses, none have investigated the possibility that each explains the response behaviour of a subgroup of the population. In this paper, we make a contribution towards addressing this research gap by presenting an equality-constrained latent class model designed to estimate the proportion of respondents employing each of the proposed heuristics. We demonstrate the model on binary and multinomial choice data sources and find three distinct types of response behaviour. The results suggest that accounting for heterogeneity in response behaviour may be a better way forward than attempting to identify a single heuristic to explain the behaviour of all respondents.
机译:非市场估值文献中越来越多的证据表明,对一系列离散选择问题的回答往往会违反分析师通常做出的关于回答的独立性和偏好稳定性的假设。提供了诸如价值学习和策略性失实陈述之类的启发式方法来解释这些结果。尽管有少数研究将这些启发式方法作为竞争性假设进行了检验,但没有研究调查每种方法都能解释人口子群的响应行为的可能性。在本文中,我们通过提出一个等式约束的潜在类模型来估计这一问题,该模型旨在估计采用每种提议的启发式方法的受访者的比例。我们在二进制和多项式选择数据源上演示了该模型,并发现了三种不同的响应行为类型。结果表明,考虑到响应行为的异质性可能比尝试识别单个试探法来解释所有受访者的行为更好。

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