We develop a pure characteristics equilibrium sorting model to recover estimates of willingness to pay (WTP) for both marginal and non-marginal changes in urban noise exposure. Using data from Vienna, Austria, we provide several new insights in the urban noise literature. First, we demonstrate the importance of considering general equilibrium feedback effects following large changes in noise levels. We document impacts to residents in policy targeted and non-targeted locations due to changes in both noise and equilibrium prices. Second, we confirm evidence of the importance of noise thresholds with significant and increasing negative impacts associated with increases in area covered by high levels of noise at 50 dB and 60 dB thresholds, respectively. Finally, we use an equilibrium sorting model to predict new price patterns and welfare implications following hypothetical policy changes that alter the distribution and intensity of nighttime noise in Vienna and are relevant to other urban settings seeking to reduce noise levels. Our work additionally provides a roadmap for conducting similar equilibrium sorting work in data limited settings outside the U.S.

我们开发了一个纯特征均衡分类模型，以恢复城市噪声暴露的边际和非边际变化的支付意愿（WTP）估计值。利用奥地利维也纳的数据，我们提供了有关城市噪声文献的一些新见解。首先，我们证明了在噪声水平发生较大变化后考虑一般平衡反馈效应的重要性。由于噪声和均衡价格的变化，我们记录了对政策目标地区和非目标地区居民的影响。其次，我们确认了噪声阈值的重要性，这些噪声阈值分别具有在50 dB和60 dB阈值的高噪声水平所覆盖的面积所带来的显着且不断增加的负面影响。最后，在假设的政策变化会改变维也纳夜间噪声的分布和强度之后，我们使用均衡排序模型来预测新的价格模式和对福利的影响，这些变化会改变维也纳夜间噪声的分布和强度，并与寻求降低噪声水平的其他城市环境相关。我们的工作还提供了一个路线图，用于在美国以外的数据受限环境中进行类似的平衡排序工作