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首页> 外文期刊>American Journal of Agricultural Economics >Modeling Starting Point Bias as Unobserved Heterogeneity in Contingent Valuation Surveys: An Application to Air Pollution
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Modeling Starting Point Bias as Unobserved Heterogeneity in Contingent Valuation Surveys: An Application to Air Pollution

机译:在偶然性评估调查中将起点偏差建模为未观察到的异质性:在空气污染中的应用

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摘要

Up to now, the starting point bias has generally been considered to be a homogeneous phenomenon. In this article, we treat anchoring as an unobserved heterogeneous phenomenon. Our contribution is twofold. First, we show analytically and by way of simulations that assuming homogeneous anchoring can be hazardous and lead to misspecifications. Second, we propose an econometric model that starts with a dichotomous question and then uses an open-ended question. We finally apply our model to a contingent valuation survey on air quality. Our results suggest that how anchoring is modeled in empirical studies deserves more attention.
机译:到目前为止,通常将起点偏差视为均匀现象。在本文中,我们将锚定视为未观察到的异质现象。我们的贡献是双重的。首先,我们通过分析和模拟的方式表明,假设均质锚固可能是危险的,并会导致规格不正确。其次,我们提出一个计量经济学模型,该模型以二分式问题开头,然后使用开放式问题。最后,我们将模型应用于空气质量评估评估。我们的结果表明,在经验研究中如何对锚定进行建模应引起更多关注。

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