The Long-Run Consequences of Living in a Poor Neighborhood
Many social scientists presume that the quality of the neighborhood to which children are exposed affects a variety of long-run social outcomes. I examine the effect on long-run labor market outcomes of adults who were assigned, when young, to substantially different public housing projects in Toron...
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Veröffentlicht in: | The Quarterly journal of economics 2003-11, Vol.118 (4), p.1533-1575 |
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description | Many social scientists presume that the quality of the neighborhood to which children are exposed affects a variety of long-run social outcomes. I examine the effect on long-run labor market outcomes of adults who were assigned, when young, to substantially different public housing projects in Toronto. Administrative data are matched to public housing addresses to track children from the program to when they are more than 30 years old. The main finding is that, while living conditions and exposure to crime differ substantially across projects, neighborhood quality plays little role in determining a youth's eventual earnings, unemployment likelihood, and welfare participation. Living in contrasting housing projects cannot explain large variances in labor market outcomes but family differences, as measured by sibling outcome correlations, account for up to 30 percent of the total variance in the data. |
doi_str_mv | 10.1162/003355303322552865 |
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I examine the effect on long-run labor market outcomes of adults who were assigned, when young, to substantially different public housing projects in Toronto. Administrative data are matched to public housing addresses to track children from the program to when they are more than 30 years old. The main finding is that, while living conditions and exposure to crime differ substantially across projects, neighborhood quality plays little role in determining a youth's eventual earnings, unemployment likelihood, and welfare participation. 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Living in contrasting housing projects cannot explain large variances in labor market outcomes but family differences, as measured by sibling outcome correlations, account for up to 30 percent of the total variance in the data.</description><subject>Affordable housing</subject><subject>Brothers</subject><subject>Census tracts</subject><subject>Children</subject><subject>Covariance</subject><subject>Economic theory</subject><subject>Households</subject><subject>Housing</subject><subject>Labor market</subject><subject>Neighborhoods</subject><subject>Parents</subject><subject>Poverty</subject><subject>Public housing</subject><subject>Siblings</subject><subject>Socioeconomic factors</subject><subject>Studies</subject><issn>0033-5533</issn><issn>1531-4650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqNkEtLAzEUhYMoWKt_QBCC-9Gb52TcSbFWHB-UKuImTNOknaqTmsyI_nunjNSFGzf3Lu53zj0chA4JnBAi6SkAY0KwdlIqBFVSbKEeEYwkXArYRr01kLQE20V7MS4BgCjCe-hssrA499U8GTcVHvgq2vfGVsZG7B3Oy4-ymuOywgW-9z7gW1vOF1MfFt7P9tGOK16jPfjZffQwvJgMRkl-d3k1OM8Tw1NZJwYKRZUyIrWycJAS5XiWGWqto5RRAJcSk4qCEGeBM-OmlrqZhUwxIvlUsD467nxXwbfZYq2XvglV-1JTAlkmqaItRDvIBB9jsE6vQvlWhC9NQK8r0n8rakVJJ_LN6n_8UccvY-3DRkEFCJZx-etXxtp-bu5FeNEyZanQo6dnnd08joeSX2vFvgEuj3vr</recordid><startdate>20031101</startdate><enddate>20031101</enddate><creator>Oreopoulos, Philip</creator><general>MIT Press</general><general>Oxford University Press</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20031101</creationdate><title>The Long-Run Consequences of Living in a Poor Neighborhood</title><author>Oreopoulos, Philip</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-c0a8288c57e6af0718f499c2eef223200f71c75a11fe043cfbe2fde0983164b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Affordable housing</topic><topic>Brothers</topic><topic>Census tracts</topic><topic>Children</topic><topic>Covariance</topic><topic>Economic theory</topic><topic>Households</topic><topic>Housing</topic><topic>Labor market</topic><topic>Neighborhoods</topic><topic>Parents</topic><topic>Poverty</topic><topic>Public housing</topic><topic>Siblings</topic><topic>Socioeconomic factors</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oreopoulos, Philip</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>The Quarterly journal of economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oreopoulos, Philip</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Long-Run Consequences of Living in a Poor Neighborhood</atitle><jtitle>The Quarterly journal of economics</jtitle><stitle>The Quarterly Journal of Economics</stitle><addtitle>The Quarterly Journal of Economics</addtitle><date>2003-11-01</date><risdate>2003</risdate><volume>118</volume><issue>4</issue><spage>1533</spage><epage>1575</epage><pages>1533-1575</pages><issn>0033-5533</issn><eissn>1531-4650</eissn><coden>QJECAT</coden><abstract>Many social scientists presume that the quality of the neighborhood to which children are exposed affects a variety of long-run social outcomes. I examine the effect on long-run labor market outcomes of adults who were assigned, when young, to substantially different public housing projects in Toronto. Administrative data are matched to public housing addresses to track children from the program to when they are more than 30 years old. The main finding is that, while living conditions and exposure to crime differ substantially across projects, neighborhood quality plays little role in determining a youth's eventual earnings, unemployment likelihood, and welfare participation. Living in contrasting housing projects cannot explain large variances in labor market outcomes but family differences, as measured by sibling outcome correlations, account for up to 30 percent of the total variance in the data.</abstract><cop>Oxford</cop><pub>MIT Press</pub><doi>10.1162/003355303322552865</doi><tpages>43</tpages><oa>free_for_read</oa></addata></record> |
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source | Jstor Complete Legacy; Oxford University Press Journals All Titles (1996-Current); EBSCOhost Business Source Complete |
subjects | Affordable housing Brothers Census tracts Children Covariance Economic theory Households Housing Labor market Neighborhoods Parents Poverty Public housing Siblings Socioeconomic factors Studies |
title | The Long-Run Consequences of Living in a Poor Neighborhood |
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