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House values, incomes, and industrial pollution

机译:房屋价值,收入和工业污染

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This paper analyzes the effect of polluting manufacturing facilities on the economic characteristics of nearby neighborhoods. It tests the hypothesis that communities exposed to high levels of pollution will have lower house prices and poorer residents than cleaner locations. The econometric model treats pollution and income as simultaneously determined variables. The multiple-equation, fixed effects model attempts to account for cross-section and time-varying biases. It uses Toxics Release Inventory (TRI) and census data from the 1980s for the six New England states. I employ a new measure of the change in exposure to pollution over the 1980s for census tracts. The estimates suggest that being a mile closer to a polluting manufacturing plant reduces house values by 1.9%, which is smaller than estimates from existing studies. However, the equivalent single-equation estimate suggests, misleadingly, that pollution has a positive effect on house values.
机译:本文分析了污染的制造设施对附近社区经济特征的影响。它检验了以下假设:与清洁地点相比,遭受高污染水平的社区的房价将更低,居民的贫困状况也将更佳。计量经济学模型将污染和收入视为同时确定的变量。多方程固定效应模型试图考虑横截面和时变偏差。它使用了有毒物质排放清单(TRI)和1980年代新英格兰6个州的人口普查数据。对于人口普查区域,我采用了一种新的方法来衡量1980年代污染暴露的变化。估算表明,距污染工厂一英里远会使房屋价值降低1.9%,这比现有研究的估算值要小。但是,等效的单方程估算值有误导性,表明污染对房屋价值产生积极影响。

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