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The determinants of homelessness and the targeting of housing assistance

机译:无家可归的决定因素和住房援助的目标

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摘要

This study combines data from the Survey of Income and Program Participation with the National Survey of Homeless Assistance Providers and Clients to estimate a conditional probability model of homelessness. The results suggest which factors are important predictors of homelessness and argue that gender, age, and race of the household head, are important determinants of whether a household is homeless. Using the results of the model predicting homelessness to simulate the effects of the removal of housing subsidizes from the subsidized population indicates that subsidized housing could be targeted better toward those most at risk of being homeless.
机译:这项研究结合了收入和计划参与调查以及全国无家可归援助提供者和客户调查的数据,以估算无家可归的条件概率模型。结果表明哪些因素是无家可归者的重要预测指标,并认为户主的性别,年龄和种族是决定一个家庭是否无家可归的重要决定因素。使用预测无家可归者的模型结果来模拟从有补贴的人口中消除住房补贴的影响,可以表明,有补贴的住房可能更适合那些最有可能无家可归的人。

著录项

  • 来源
    《Journal of Urban Economics》 |2004年第1期|p.195-214|共20页
  • 作者

    Dirk W. Early;

  • 作者单位

    Department of Economics and Business, Southwestern University, Georgetown, TX 78627, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 f;
  • 关键词

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