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Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece

机译:扩展陈述选择分析以识别双边群体谈判和选择中特定于代理的属性内生性:一个思考

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This paper is a think piece on variations in the structure of stated preference studies when modelling the joint preferences of interacting agents who have the power to influence the attribute levels on offer. The approach proposed is an extension of standard stated choice methods, known as 'stated endogenous attribute level' (SEAL) analysis. It allows for interactive agents to adjust attribute levels off a base stated choice specification that are within their control, in an effort to reach agreement in an experimental setting. This accomplishes three goals: (1) the ability to place respondents in an environment that more closely matches interactive settings in which some attribute levels are endogenous to a specific agent, should the modeller wish to capture such behaviour; (2) the improved ability of the modeller to capture the behaviour in such settings, including a greater wealth of information on the related interaction processes, rather than simply outcomes; and (3) the expansion of the set of situations that the modeller can investigate using experimental data.
机译:当对具有影响力的属性水平的交互主体的联合偏好进行建模时,本文是关于陈述的偏好研究的结构变化的思想文章。提出的方法是标准陈述选择方法的扩展,称为“陈述内生属性水平”(SEAL)分析。它允许交互式代理根据其控制范围内的基本指定选择规范来调整属性级别,以期在实验环境中达成共识。这实现了三个目标:(1)如果建模者希望捕获这样的行为,则能够将受访者置于与某些特定代理固有的某些属性级别是交互式的交互设置更为匹配的环境中; (2)建模者在这种情况下捕捉行为的能力得到了提高,其中包括有关交互过程的更多信息,而不仅仅是结果; (3)扩展建模者可以使用实验数据进行调查的一组情境。

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