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Temporal dimensions and measurement of neighbourhood effects

机译:时间维度和邻域效应的度量

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We conduct a panel analysis quantifying the degree to which the mixture of low-income, middle-income, and high-income males in the neighbourhood affects the subsequent labour income of individuals, and test the degree to which these effects vary by timing (lagging up to three years), duration (one to four years), and cumulative amount of exposure and to what extent these effects are persistent. We employ a fixed-effects model to reduce the potential bias arising from unmeasured individual characteristics leading to neighbourhood selection. The empirical study applies individual-level data for the working-age population of the three largest cities in Sweden covering the period 1991 -2006. The analyses suggest that there are important temporal dimensions in the statistical effect of neighbourhood income mix: recent, continued, or cumulative exposure yields stronger associations than lagged, temporary ones, and there is a distinct time decay (though some persistence) in the potential effects after exposure ceases, though with some gender differences.
机译:我们进行面板分析,量化附近低收入,中等收入和高收入男性的混合影响个人随后的劳动收入的程度,并测试这些影响随时间变化的程度(滞后(最多三年),持续时间(一到四年)和累积暴露量,以及这些影响持续到何种程度。我们采用固定效应模型来减少因无法测量的个体特征导致邻域选择而引起的潜在偏差。实证研究将个人水平数据应用于瑞典三个最大城市的1991年至2006年的工作年龄人口。分析表明,邻里收入组合的统计影响中存在重要的时间维度:近期,持续或累积暴露比滞后,暂时的联系具有更强的关联,并且潜在影响存在明显的时间衰减(尽管有些持久性)。接触停止后,尽管存在一些性别差异。

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