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Protesting and Justifying: A Latent Class Model for Contingent Valuation with Attitudinal Data

机译:抗议和论证:基于态度数据的或有价值评估的潜在类模型

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摘要

This article develops a latent class model for estimating willingness-to-pay (WTP) for public goods using simultaneously contingent valuation (CV) and attitudinal data to identify individuals with similar characteristics, such as WTP and protest attitudes. We find evidence that the answer to the CV question influences the responses to the attitudinal questions. In our case, this influence reflects rational behavior (budget constraint issues) and justification biases related to protest reasons, such as lack of trust in institutions or fairness issues with respect to the distribution of the burden of preservation. The results from our empirical application confirm the importance of accounting for those biases.
机译:本文开发了一个潜在类别模型,用于使用同时或有估值(CV)和态度数据来识别具有类似特征(例如WTP和抗议态度)的个人,以估计公共物品的支付意愿(WTP)。我们发现有证据表明,简历问题的答案会影响对态度问题的回答。在我们的案例中,这种影响反映了理性行为(预算约束问题)和与抗议原因有关的合理偏见,例如对机构的信任不足或在保存负担分配方面的公平问题。我们的经验应用结果证实了解决这些偏差的重要性。

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