Because of their nonmarket characteristics, coastal habitats are often valued using stated preference methods. An extensive literature cautions the confounding influence of both choice complexity and hypothetical bias in these types of analyses. In response, researchers have developed a variety of ex post controls to reduce the influence of potential biases. This study utilizes a discrete choice experiment with the goal of measuring users’ willingness to pay for estuarine habitat and access in the Sarasota Bay estuary. Our application examines model calibration to address (1) reported choice certainty and (2) stated attribute non-attendance. Our results indicate that accounting for attribute non-attendance and choice certainty has minor effects on coefficient estimates, generally leading to small changes in the marginal utilities for coastal habitat and income. The more apparent influence of these approaches comes via smaller standard errors, suggesting that ex post methods may ameliorate hypothetical bias and provide more precise estimates.

中文翻译：

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在选择实验中结合确定性和属性不参与：在沿海栖息地评估中的应用

由于其非市场特征，沿海栖息地通常使用规定的偏好方法进行评估。大量文献警告在这些类型的分析中选择复杂性和假设偏差的混杂影响。作为回应，研究人员开发了各种事后控制，以减少潜在偏见的影响。本研究利用离散选择实验，目的是衡量用户为萨拉索塔湾河口的河口栖息地和通道付费的意愿。我们的应用程序检查模型校准以解决 (1) 报告的选择确定性和 (2) 声明的属性不出席。我们的结果表明，考虑属性不出席和选择确定性对系数估计的影响很小，通常会导致沿海栖息地和收入的边际效用发生微小变化。这些方法通过较小的标准误差产生更明显的影响，这表明事后方法可以改善假设偏差并提供更精确的估计。