Evaluating Linearly Interpolated Intercensal Estimates of Demograpliic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001-2009

The American Community Survey (ACS) multiyear estimation program has greatly advanced opportunities for studying change in the demographic and socioeconomic characteristics of U.S. communities. Challenges remain, however, for researchers studying years prior to the full implementation of the ACS or...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Population research and policy review 2015-08, Vol.34 (4), p.541-559
Hauptverfasser: Weden, Margaret M., Peterson, Christine E., Miles, Jeremy N., Shih, Regina A.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 559
container_issue 4
container_start_page 541
container_title Population research and policy review
container_volume 34
creator Weden, Margaret M.
Peterson, Christine E.
Miles, Jeremy N.
Shih, Regina A.
description The American Community Survey (ACS) multiyear estimation program has greatly advanced opportunities for studying change in the demographic and socioeconomic characteristics of U.S. communities. Challenges remain, however, for researchers studying years prior to the full implementation of the ACS or areas smaller than the thresholds for ACS annual estimates (i.e., small counties and census tracts). We evaluate intercensal estimates of the demographic and socioeconomic characteristics of U.S. counties and census tracts produced via linear interpolation between the 2000 census and both the 2010 census and 2005-2009 ACS. Discrepancies between interpolated estimates and reference estimates from the Population Estimates Program, the Small Area Income and Poverty Estimates, and ACS are calculated using several measures of error. Findings are discussed in relation to the potential for measurement error to bias longitudinal estimates of linearly interpolated neighborhood change, and alternative intercensal estimation models are discussed, including those that may better capture non-linear trends in economic conditions over the 21st century.
format Article
fullrecord <record><control><sourceid>jstor</sourceid><recordid>TN_cdi_jstor_primary_43671631</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>43671631</jstor_id><sourcerecordid>43671631</sourcerecordid><originalsourceid>FETCH-jstor_primary_436716313</originalsourceid><addsrcrecordid>eNqFjkFOwzAQRa0KpIbCEZDmAqnsuE3IOgSBxK7tuhq5bnHleCKPg9SDcF9cYM9mRvP_vK8_E4VaN7psnqr2RhRS1U25bis9F3fMZymVlLotxFf_iX7C5MIJ3l2wGP0F3kKycSSPyR5-D2MDo4eekxuyykBHeLYDnSKO3jkDGA6wIePIGgo0ZKX7wIgmsy5D5ofYLTdL6GgKyeWIK9Ll3Ilhe_1kqHKtMo_2Xtwe0bN9-NsL8fjSb7vX8syJ4n6MuUW87Fe6blStlf7P_waUJFPx</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Evaluating Linearly Interpolated Intercensal Estimates of Demograpliic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001-2009</title><source>Jstor Complete Legacy</source><source>SpringerLink Journals - AutoHoldings</source><creator>Weden, Margaret M. ; Peterson, Christine E. ; Miles, Jeremy N. ; Shih, Regina A.</creator><creatorcontrib>Weden, Margaret M. ; Peterson, Christine E. ; Miles, Jeremy N. ; Shih, Regina A.</creatorcontrib><description>The American Community Survey (ACS) multiyear estimation program has greatly advanced opportunities for studying change in the demographic and socioeconomic characteristics of U.S. communities. Challenges remain, however, for researchers studying years prior to the full implementation of the ACS or areas smaller than the thresholds for ACS annual estimates (i.e., small counties and census tracts). We evaluate intercensal estimates of the demographic and socioeconomic characteristics of U.S. counties and census tracts produced via linear interpolation between the 2000 census and both the 2010 census and 2005-2009 ACS. Discrepancies between interpolated estimates and reference estimates from the Population Estimates Program, the Small Area Income and Poverty Estimates, and ACS are calculated using several measures of error. Findings are discussed in relation to the potential for measurement error to bias longitudinal estimates of linearly interpolated neighborhood change, and alternative intercensal estimation models are discussed, including those that may better capture non-linear trends in economic conditions over the 21st century.</description><identifier>ISSN: 0167-5923</identifier><identifier>EISSN: 1573-7829</identifier><language>eng</language><publisher>Springer Science+Business Media B. V</publisher><ispartof>Population research and policy review, 2015-08, Vol.34 (4), p.541-559</ispartof><rights>Springer Science+Business Media 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/43671631$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/43671631$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,58017,58250</link.rule.ids></links><search><creatorcontrib>Weden, Margaret M.</creatorcontrib><creatorcontrib>Peterson, Christine E.</creatorcontrib><creatorcontrib>Miles, Jeremy N.</creatorcontrib><creatorcontrib>Shih, Regina A.</creatorcontrib><title>Evaluating Linearly Interpolated Intercensal Estimates of Demograpliic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001-2009</title><title>Population research and policy review</title><description>The American Community Survey (ACS) multiyear estimation program has greatly advanced opportunities for studying change in the demographic and socioeconomic characteristics of U.S. communities. Challenges remain, however, for researchers studying years prior to the full implementation of the ACS or areas smaller than the thresholds for ACS annual estimates (i.e., small counties and census tracts). We evaluate intercensal estimates of the demographic and socioeconomic characteristics of U.S. counties and census tracts produced via linear interpolation between the 2000 census and both the 2010 census and 2005-2009 ACS. Discrepancies between interpolated estimates and reference estimates from the Population Estimates Program, the Small Area Income and Poverty Estimates, and ACS are calculated using several measures of error. Findings are discussed in relation to the potential for measurement error to bias longitudinal estimates of linearly interpolated neighborhood change, and alternative intercensal estimation models are discussed, including those that may better capture non-linear trends in economic conditions over the 21st century.</description><issn>0167-5923</issn><issn>1573-7829</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqFjkFOwzAQRa0KpIbCEZDmAqnsuE3IOgSBxK7tuhq5bnHleCKPg9SDcF9cYM9mRvP_vK8_E4VaN7psnqr2RhRS1U25bis9F3fMZymVlLotxFf_iX7C5MIJ3l2wGP0F3kKycSSPyR5-D2MDo4eekxuyykBHeLYDnSKO3jkDGA6wIePIGgo0ZKX7wIgmsy5D5ofYLTdL6GgKyeWIK9Ll3Ilhe_1kqHKtMo_2Xtwe0bN9-NsL8fjSb7vX8syJ4n6MuUW87Fe6blStlf7P_waUJFPx</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Weden, Margaret M.</creator><creator>Peterson, Christine E.</creator><creator>Miles, Jeremy N.</creator><creator>Shih, Regina A.</creator><general>Springer Science+Business Media B. V</general><scope/></search><sort><creationdate>20150801</creationdate><title>Evaluating Linearly Interpolated Intercensal Estimates of Demograpliic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001-2009</title><author>Weden, Margaret M. ; Peterson, Christine E. ; Miles, Jeremy N. ; Shih, Regina A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-jstor_primary_436716313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Weden, Margaret M.</creatorcontrib><creatorcontrib>Peterson, Christine E.</creatorcontrib><creatorcontrib>Miles, Jeremy N.</creatorcontrib><creatorcontrib>Shih, Regina A.</creatorcontrib><jtitle>Population research and policy review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weden, Margaret M.</au><au>Peterson, Christine E.</au><au>Miles, Jeremy N.</au><au>Shih, Regina A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating Linearly Interpolated Intercensal Estimates of Demograpliic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001-2009</atitle><jtitle>Population research and policy review</jtitle><date>2015-08-01</date><risdate>2015</risdate><volume>34</volume><issue>4</issue><spage>541</spage><epage>559</epage><pages>541-559</pages><issn>0167-5923</issn><eissn>1573-7829</eissn><abstract>The American Community Survey (ACS) multiyear estimation program has greatly advanced opportunities for studying change in the demographic and socioeconomic characteristics of U.S. communities. Challenges remain, however, for researchers studying years prior to the full implementation of the ACS or areas smaller than the thresholds for ACS annual estimates (i.e., small counties and census tracts). We evaluate intercensal estimates of the demographic and socioeconomic characteristics of U.S. counties and census tracts produced via linear interpolation between the 2000 census and both the 2010 census and 2005-2009 ACS. Discrepancies between interpolated estimates and reference estimates from the Population Estimates Program, the Small Area Income and Poverty Estimates, and ACS are calculated using several measures of error. Findings are discussed in relation to the potential for measurement error to bias longitudinal estimates of linearly interpolated neighborhood change, and alternative intercensal estimation models are discussed, including those that may better capture non-linear trends in economic conditions over the 21st century.</abstract><pub>Springer Science+Business Media B. V</pub></addata></record>
fulltext fulltext
identifier ISSN: 0167-5923
ispartof Population research and policy review, 2015-08, Vol.34 (4), p.541-559
issn 0167-5923
1573-7829
language eng
recordid cdi_jstor_primary_43671631
source Jstor Complete Legacy; SpringerLink Journals - AutoHoldings
title Evaluating Linearly Interpolated Intercensal Estimates of Demograpliic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001-2009
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T11%3A59%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20Linearly%20Interpolated%20Intercensal%20Estimates%20of%20Demograpliic%20and%20Socioeconomic%20Characteristics%20of%20U.S.%20Counties%20and%20Census%20Tracts%202001-2009&rft.jtitle=Population%20research%20and%20policy%20review&rft.au=Weden,%20Margaret%20M.&rft.date=2015-08-01&rft.volume=34&rft.issue=4&rft.spage=541&rft.epage=559&rft.pages=541-559&rft.issn=0167-5923&rft.eissn=1573-7829&rft_id=info:doi/&rft_dat=%3Cjstor%3E43671631%3C/jstor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=43671631&rfr_iscdi=true