The Long-Run Consequences of Living in a Poor Neighborhood
Identifieur interne : 000A97 ( Istex/Corpus ); précédent : 000A96; suivant : 000A98The Long-Run Consequences of Living in a Poor Neighborhood
Auteurs : Philip OreopoulosSource :
- The Quarterly Journal of Economics [ 0033-5533 ] ; 2003-11.
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.
Url:
DOI: 10.1162/003355303322552865
Links to Exploration step
ISTEX:9003958B5E826ED7A92E430C51035C7AB17B9D4DLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>The Long-Run Consequences of Living in a Poor Neighborhood</title><author wicri:is="90%"><name sortKey="Oreopoulos, Philip" sort="Oreopoulos, Philip" uniqKey="Oreopoulos P" first="Philip" last="Oreopoulos">Philip Oreopoulos</name><affiliation><mods:affiliation>University of Toronto</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:9003958B5E826ED7A92E430C51035C7AB17B9D4D</idno><date when="2003" year="2003">2003</date><idno type="doi">10.1162/003355303322552865</idno><idno type="url">https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000A97</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000A97</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">The Long-Run Consequences of Living in a Poor Neighborhood</title><author wicri:is="90%"><name sortKey="Oreopoulos, Philip" sort="Oreopoulos, Philip" uniqKey="Oreopoulos P" first="Philip" last="Oreopoulos">Philip Oreopoulos</name><affiliation><mods:affiliation>University of Toronto</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">The Quarterly Journal of Economics</title><title level="j" type="abbrev">The Quarterly Journal of Economics</title><idno type="ISSN">0033-5533</idno><idno type="eISSN">1531-4650</idno><imprint><publisher>MIT Press</publisher><date type="published" when="2003-11">2003-11</date><biblScope unit="volume">118</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="1533">1533</biblScope><biblScope unit="page" to="1575">1575</biblScope></imprint><idno type="ISSN">0033-5533</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0033-5533</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="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.</div></front></TEI><istex><corpusName>oup</corpusName><author><json:item><name>Philip Oreopoulos</name><affiliations><json:string>University of Toronto</json:string></affiliations></json:item></author><arkIstex>ark:/67375/HXZ-9MVRF64K-8</arkIstex><language><json:string>unknown</json:string></language><originalGenre><json:string>research-article</json:string></originalGenre><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><qualityIndicators><score>8.632</score><pdfWordCount>13311</pdfWordCount><pdfCharCount>84956</pdfCharCount><pdfVersion>1.4</pdfVersion><pdfPageCount>43</pdfPageCount><pdfPageSize>432 x 648 pts</pdfPageSize><refBibsNative>false</refBibsNative><abstractWordCount>136</abstractWordCount><abstractCharCount>912</abstractCharCount><keywordCount>0</keywordCount></qualityIndicators><title>The Long-Run Consequences of Living in a Poor Neighborhood</title><genre><json:string>research-article</json:string></genre><host><title>The Quarterly Journal of Economics</title><language><json:string>unknown</json:string></language><issn><json:string>0033-5533</json:string></issn><eissn><json:string>1531-4650</json:string></eissn><publisherId><json:string>qje</json:string></publisherId><volume>118</volume><issue>4</issue><pages><first>1533</first><last>1575</last></pages><genre><json:string>journal</json:string></genre></host><namedEntities><unitex><date><json:string>1992</json:string><json:string>1979</json:string><json:string>1986</json:string><json:string>1982</json:string><json:string>1998</json:string><json:string>4000</json:string><json:string>1976</json:string><json:string>2002</json:string><json:string>1999</json:string><json:string>1981, 1986, 1991, and 1996</json:string><json:string>1970s</json:string><json:string>1990</json:string><json:string>1000 to 3000</json:string><json:string>2003</json:string><json:string>1995</json:string><json:string>1984</json:string><json:string>1982, 1984, and 1986</json:string><json:string>1949</json:string><json:string>1989</json:string><json:string>1060</json:string><json:string>1978</json:string><json:string>1980s</json:string><json:string>1996</json:string></date><geogName></geogName><orgName><json:string>Ontario Housing Corporation</json:string><json:string>Burch Center for Tax Policy and Public Finance</json:string><json:string>Metro Toronto Housing Corporation</json:string><json:string>Toronto Community Housing Corporation</json:string><json:string>Canada and Toronto</json:string><json:string>Toronto Housing Corporation</json:string><json:string>Massachusetts Institute of Technology</json:string><json:string>Division of Statistics Canada</json:string><json:string>National Housing Act</json:string><json:string>Fisher Center for Real Estate</json:string></orgName><orgName_funder></orgName_funder><orgName_provider></orgName_provider><persName><json:string>Eric Olson</json:string><json:string>B. Wage</json:string><json:string>Ryner</json:string><json:string>Brent Donnelly</json:string><json:string>Monique Volpe</json:string><json:string>Miles Corak</json:string><json:string>Barbara Watson</json:string><json:string>Emmanuel Saez</json:string><json:string>Raudenbush</json:string><json:string>Steven Raphael</json:string><json:string>Lawrence Katz</json:string><json:string>B. Sibling</json:string><json:string>Duncan</json:string><json:string>Hugh Lawson</json:string><json:string>David Card</json:string><json:string>Neighbor</json:string><json:string>Sophie Lefebre</json:string><json:string>C. Sibling</json:string><json:string>John Quigley</json:string></persName><placeName><json:string>United States</json:string><json:string>Canada</json:string><json:string>Boston</json:string><json:string>TORONTO</json:string><json:string>CHICAGO</json:string><json:string>United Kingdom</json:string><json:string>Ottawa</json:string></placeName><ref_url></ref_url><ref_bibl><json:string>[1997]</json:string><json:string>[2003]</json:string><json:string>Glaeser and Scheinkman 2001</json:string><json:string>Cook and Demnati 2000</json:string><json:string>[2002]</json:string><json:string>Page and Solon 1999</json:string><json:string>Akerlof and Kranton 2000</json:string><json:string>[1995]</json:string><json:string>[2001]</json:string><json:string>[1999]</json:string><json:string>[1994]</json:string><json:string>[2000]</json:string><json:string>[1987]</json:string><json:string>[1993]</json:string></ref_bibl><bibl></bibl></unitex></namedEntities><ark><json:string>ark:/67375/HXZ-9MVRF64K-8</json:string></ark><categories><wos><json:string>social science</json:string><json:string>economics</json:string></wos><scienceMetrix><json:string>economic & social sciences</json:string><json:string>economics & business </json:string><json:string>economics</json:string></scienceMetrix><scopus><json:string>1 - Social Sciences</json:string><json:string>2 - Economics, Econometrics and Finance</json:string><json:string>3 - Economics and Econometrics</json:string></scopus><inist><json:string>sciences humaines et sociales</json:string></inist></categories><publicationDate>2003</publicationDate><copyrightDate>2003</copyrightDate><doi><json:string>10.1162/003355303322552865</json:string></doi><id>9003958B5E826ED7A92E430C51035C7AB17B9D4D</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">The Long-Run Consequences of Living in a Poor Neighborhood</title><respStmt><resp>Références bibliographiques récupérées via GROBID</resp><name resp="ISTEX-API">ISTEX-API (INIST-CNRS)</name></respStmt></titleStmt><publicationStmt><authority>ISTEX</authority><publisher scheme="https://publisher-list.data.istex.fr">MIT Press</publisher><availability><licence><p>© 2003 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology</p></licence><p scheme="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-GTWS0RDP-M">oup</p></availability><date>2003</date></publicationStmt><notesStmt><note type="research-article" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</note><note type="journal" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</note><note>I am very grateful to Alan Auerbach, David Card, John Quigley, Steven Raphael, and Emmanuel Saez for many helpful discussions and to Lawrence Katz and three anonymous referees for comments. I also wish to thank Miles Corak, Sophie Lefebre, and Eric Olson for assistance at Statistics Canada. Frances Beard, Barbara Watson, and Hugh Lawson from Metro Toronto Housing Corporation, Brent Donnelly and Ryner Soegtrop from Cityhome, and Monique Volpe from the Ontario Housing Corporation were instrumental in helping me collect information about subsidized housing projects in Toronto. Participants from numerous institutions provided valuable feedback. Support from the Family and Labour Studies Division of Statistics Canada, the Burch Center for Tax Policy and Public Finance, and the Fisher Center for Real Estate and Urban Economics is greatly appreciated. I am solely responsible for the contents of this paper.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">The Long-Run Consequences of Living in a Poor Neighborhood</title><author xml:id="author-0000"><persName><forename type="first">Philip</forename><surname>Oreopoulos</surname></persName><affiliation>University of Toronto</affiliation></author><idno type="istex">9003958B5E826ED7A92E430C51035C7AB17B9D4D</idno><idno type="ark">ark:/67375/HXZ-9MVRF64K-8</idno><idno type="DOI">10.1162/003355303322552865</idno></analytic><monogr><title level="j">The Quarterly Journal of Economics</title><title level="j" type="abbrev">The Quarterly Journal of Economics</title><idno type="pISSN">0033-5533</idno><idno type="eISSN">1531-4650</idno><idno type="publisher-id">qje</idno><idno type="PublisherID-hwp">qje</idno><imprint><publisher>MIT Press</publisher><date type="published" when="2003-11"></date><biblScope unit="volume">118</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="1533">1533</biblScope><biblScope unit="page" to="1575">1575</biblScope></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2003</date></creation><abstract><p>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.</p></abstract></profileDesc><revisionDesc><change when="2003-11">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-10-6">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus oup, element #text not found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0"</istex:xmlDeclaration><istex:docType PUBLIC="-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" URI="journalpublishing.dtd" name="istex:docType"></istex:docType><istex:document><article article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="hwp">qje</journal-id>
<journal-id journal-id-type="publisher-id">qje</journal-id>
<journal-title>The Quarterly Journal of Economics</journal-title>
<abbrev-journal-title>The Quarterly Journal of Economics</abbrev-journal-title>
<issn pub-type="ppub">0033-5533</issn>
<issn pub-type="epub">1531-4650</issn>
<publisher>
<publisher-name>MIT Press</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1162/003355303322552865</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The Long-Run Consequences of Living in a Poor Neighborhood<xref ref-type="fn" rid="FN1">*</xref></article-title>
<fn-group>
<fn fn-type="other" id="FN1">
<label>*</label>
<p>I am very grateful to Alan Auerbach, David Card, John Quigley, Steven Raphael, and Emmanuel Saez for many helpful discussions and to Lawrence Katz and three anonymous referees for comments. I also wish to thank Miles Corak, Sophie Lefebre, and Eric Olson for assistance at Statistics Canada. Frances Beard, Barbara Watson, and Hugh Lawson from Metro Toronto Housing Corporation, Brent Donnelly and Ryner Soegtrop from Cityhome, and Monique Volpe from the Ontario Housing Corporation were instrumental in helping me collect information about subsidized housing projects in Toronto. Participants from numerous institutions provided valuable feedback. Support from the Family and Labour Studies Division of Statistics Canada, the Burch Center for Tax Policy and Public Finance, and the Fisher Center for Real Estate and Urban Economics is greatly appreciated. I am solely responsible for the contents of this paper.</p>
</fn>
</fn-group>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Oreopoulos</surname><given-names>Philip</given-names></name>
</contrib>
<aff><institution>University of Toronto</institution></aff>
</contrib-group>
<pub-date pub-type="ppub">
<month>11</month>
<year>2003</year>
</pub-date>
<volume>118</volume>
<issue>4</issue>
<fpage>1533</fpage>
<lpage>1575</lpage>
<copyright-statement>© 2003 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology</copyright-statement>
<copyright-year>2003</copyright-year>
<abstract>
<p>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.</p>
</abstract>
</article-meta>
</front>
</article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>The Long-Run Consequences of Living in a Poor Neighborhood</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>The Long-Run Consequences of Living in a Poor Neighborhood*</title></titleInfo><name type="personal"><namePart type="given">Philip</namePart><namePart type="family">Oreopoulos</namePart><affiliation>University of Toronto</affiliation></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="research-article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>MIT Press</publisher><dateIssued encoding="w3cdtf">2003-11</dateIssued><copyrightDate encoding="w3cdtf">2003</copyrightDate></originInfo><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><note>I am very grateful to Alan Auerbach, David Card, John Quigley, Steven Raphael, and Emmanuel Saez for many helpful discussions and to Lawrence Katz and three anonymous referees for comments. I also wish to thank Miles Corak, Sophie Lefebre, and Eric Olson for assistance at Statistics Canada. Frances Beard, Barbara Watson, and Hugh Lawson from Metro Toronto Housing Corporation, Brent Donnelly and Ryner Soegtrop from Cityhome, and Monique Volpe from the Ontario Housing Corporation were instrumental in helping me collect information about subsidized housing projects in Toronto. Participants from numerous institutions provided valuable feedback. Support from the Family and Labour Studies Division of Statistics Canada, the Burch Center for Tax Policy and Public Finance, and the Fisher Center for Real Estate and Urban Economics is greatly appreciated. I am solely responsible for the contents of this paper.</note><relatedItem type="host"><titleInfo><title>The Quarterly Journal of Economics</title></titleInfo><titleInfo type="abbreviated"><title>The Quarterly Journal of Economics</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><identifier type="ISSN">0033-5533</identifier><identifier type="eISSN">1531-4650</identifier><identifier type="PublisherID">qje</identifier><identifier type="PublisherID-hwp">qje</identifier><part><date>2003</date><detail type="volume"><caption>vol.</caption><number>118</number></detail><detail type="issue"><caption>no.</caption><number>4</number></detail><extent unit="pages"><start>1533</start><end>1575</end></extent></part></relatedItem><identifier type="istex">9003958B5E826ED7A92E430C51035C7AB17B9D4D</identifier><identifier type="DOI">10.1162/003355303322552865</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2003 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology</accessCondition><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-GTWS0RDP-M">oup</recordContentSource><recordOrigin>© 2003 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/metadata/json</uri></json:item></metadata><covers><json:item><extension>tiff</extension><original>true</original><mimetype>image/tiff</mimetype><uri>https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/covers/tiff</uri></json:item></covers><annexes><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/9003958B5E826ED7A92E430C51035C7AB17B9D4D/annexes/pdf</uri></json:item></annexes><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Psychologie/explor/BernheimV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000A97 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000A97 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Psychologie
|area= BernheimV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:9003958B5E826ED7A92E430C51035C7AB17B9D4D
|texte= The Long-Run Consequences of Living in a Poor Neighborhood
}}
| This area was generated with Dilib version V0.6.33. |  |