Valuing mortality risk reductions in global benefit-cost analysis
The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own in...
Gespeichert in:
Veröffentlicht in: | Journal of benefit-cost analysis 2019-01, Vol.10 (Suppl 1), p.15-50 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 50 |
---|---|
container_issue | Suppl 1 |
container_start_page | 15 |
container_title | Journal of benefit-cost analysis |
container_volume | 10 |
creator | Robinson, Lisa A |
description | The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential. |
doi_str_mv | 10.1017/bca.2018.26 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7473065</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2195211297</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-bea84581e42cad4cbb0d76c977159032de01947b481fc40bed6fc30d2298d8e03</originalsourceid><addsrcrecordid>eNpVkM1LwzAYh4MobsydvEvBo3QmaZqPizCGXzDwouItJGk6M7tmJq2w_96MzanvJS_k4ZdfHgDOEZwgiNi1NmqCIeITTI_AEKMS55gjfLzdBclLzvkAjGNcwjQlYVzgUzAosKCcIjoE01fV9K5dZCsfOtW4bpMFFz-yYKvedM63MXNttmi8Vk2mbWtr1-XGxy5TrWo20cUzcFKrJtrx_hyBl7vb59lDPn-6f5xN57khQnS5toqTkiNLsFEVMVrDilEjGEOlgAWuLEyFmSYc1YZAbStamwJWGAtecQuLEbjZ5a57vbKVsW0XVCPXwa1U2EivnPx_07p3ufBfkhFWQFqmgMt9QPCfvY2dXPo-pF9EmVyVGCEsWKKudpQJPsZg68MLCMqtcpmUy61yiWmiL_6WOrA_ghOQ7QBrfOvibxgVBDIExVvxDeY6h78</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2195211297</pqid></control><display><type>article</type><title>Valuing mortality risk reductions in global benefit-cost analysis</title><source>Cambridge University Press Journals Complete</source><creator>Robinson, Lisa A</creator><creatorcontrib>Robinson, Lisa A</creatorcontrib><description>The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential.</description><identifier>ISSN: 2194-5888</identifier><identifier>EISSN: 2152-2812</identifier><identifier>DOI: 10.1017/bca.2018.26</identifier><identifier>PMID: 32968616</identifier><language>eng</language><publisher>England: Cambridge University Press</publisher><subject>Consumption ; Cost analysis ; Cost benefit analysis ; Economic models ; Elasticity ; Environmental policy ; Estimates ; Expected values ; Health risks ; Income ; Life expectancy ; Low income groups ; Meta-analysis ; Mortality ; Mortality risk ; Population ; Population studies ; Preferences ; Public health ; Risk ; Sensitivity analysis ; Statistical methods ; Systematic review ; Wages & salaries ; Willingness to pay</subject><ispartof>Journal of benefit-cost analysis, 2019-01, Vol.10 (Suppl 1), p.15-50</ispartof><rights>Society for Benefit-Cost Analysis, 2019.</rights><rights>2019 This article is published under (http://creativecommons.org/licenses/by/4.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Society for Benefit-Cost Analysis, 2019. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-bea84581e42cad4cbb0d76c977159032de01947b481fc40bed6fc30d2298d8e03</citedby><cites>FETCH-LOGICAL-c499t-bea84581e42cad4cbb0d76c977159032de01947b481fc40bed6fc30d2298d8e03</cites><orcidid>0000-0003-1972-4204</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32968616$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Robinson, Lisa A</creatorcontrib><title>Valuing mortality risk reductions in global benefit-cost analysis</title><title>Journal of benefit-cost analysis</title><addtitle>J Benefit Cost Anal</addtitle><description>The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential.</description><subject>Consumption</subject><subject>Cost analysis</subject><subject>Cost benefit analysis</subject><subject>Economic models</subject><subject>Elasticity</subject><subject>Environmental policy</subject><subject>Estimates</subject><subject>Expected values</subject><subject>Health risks</subject><subject>Income</subject><subject>Life expectancy</subject><subject>Low income groups</subject><subject>Meta-analysis</subject><subject>Mortality</subject><subject>Mortality risk</subject><subject>Population</subject><subject>Population studies</subject><subject>Preferences</subject><subject>Public health</subject><subject>Risk</subject><subject>Sensitivity analysis</subject><subject>Statistical methods</subject><subject>Systematic review</subject><subject>Wages & salaries</subject><subject>Willingness to pay</subject><issn>2194-5888</issn><issn>2152-2812</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpVkM1LwzAYh4MobsydvEvBo3QmaZqPizCGXzDwouItJGk6M7tmJq2w_96MzanvJS_k4ZdfHgDOEZwgiNi1NmqCIeITTI_AEKMS55gjfLzdBclLzvkAjGNcwjQlYVzgUzAosKCcIjoE01fV9K5dZCsfOtW4bpMFFz-yYKvedM63MXNttmi8Vk2mbWtr1-XGxy5TrWo20cUzcFKrJtrx_hyBl7vb59lDPn-6f5xN57khQnS5toqTkiNLsFEVMVrDilEjGEOlgAWuLEyFmSYc1YZAbStamwJWGAtecQuLEbjZ5a57vbKVsW0XVCPXwa1U2EivnPx_07p3ufBfkhFWQFqmgMt9QPCfvY2dXPo-pF9EmVyVGCEsWKKudpQJPsZg68MLCMqtcpmUy61yiWmiL_6WOrA_ghOQ7QBrfOvibxgVBDIExVvxDeY6h78</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Robinson, Lisa A</creator><general>Cambridge University Press</general><scope>OQ6</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88J</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>M0C</scope><scope>M0T</scope><scope>M2L</scope><scope>M2O</scope><scope>M2R</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1972-4204</orcidid></search><sort><creationdate>20190101</creationdate><title>Valuing mortality risk reductions in global benefit-cost analysis</title><author>Robinson, Lisa A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-bea84581e42cad4cbb0d76c977159032de01947b481fc40bed6fc30d2298d8e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Consumption</topic><topic>Cost analysis</topic><topic>Cost benefit analysis</topic><topic>Economic models</topic><topic>Elasticity</topic><topic>Environmental policy</topic><topic>Estimates</topic><topic>Expected values</topic><topic>Health risks</topic><topic>Income</topic><topic>Life expectancy</topic><topic>Low income groups</topic><topic>Meta-analysis</topic><topic>Mortality</topic><topic>Mortality risk</topic><topic>Population</topic><topic>Population studies</topic><topic>Preferences</topic><topic>Public health</topic><topic>Risk</topic><topic>Sensitivity analysis</topic><topic>Statistical methods</topic><topic>Systematic review</topic><topic>Wages & salaries</topic><topic>Willingness to pay</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robinson, Lisa A</creatorcontrib><collection>ECONIS</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Healthcare Administration Database</collection><collection>Political Science Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of benefit-cost analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robinson, Lisa A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Valuing mortality risk reductions in global benefit-cost analysis</atitle><jtitle>Journal of benefit-cost analysis</jtitle><addtitle>J Benefit Cost Anal</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>10</volume><issue>Suppl 1</issue><spage>15</spage><epage>50</epage><pages>15-50</pages><issn>2194-5888</issn><eissn>2152-2812</eissn><abstract>The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential.</abstract><cop>England</cop><pub>Cambridge University Press</pub><pmid>32968616</pmid><doi>10.1017/bca.2018.26</doi><tpages>36</tpages><orcidid>https://orcid.org/0000-0003-1972-4204</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2194-5888 |
ispartof | Journal of benefit-cost analysis, 2019-01, Vol.10 (Suppl 1), p.15-50 |
issn | 2194-5888 2152-2812 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7473065 |
source | Cambridge University Press Journals Complete |
subjects | Consumption Cost analysis Cost benefit analysis Economic models Elasticity Environmental policy Estimates Expected values Health risks Income Life expectancy Low income groups Meta-analysis Mortality Mortality risk Population Population studies Preferences Public health Risk Sensitivity analysis Statistical methods Systematic review Wages & salaries Willingness to pay |
title | Valuing mortality risk reductions in global benefit-cost analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T05%3A44%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Valuing%20mortality%20risk%20reductions%20in%20global%20benefit-cost%20analysis&rft.jtitle=Journal%20of%20benefit-cost%20analysis&rft.au=Robinson,%20Lisa%20A&rft.date=2019-01-01&rft.volume=10&rft.issue=Suppl%201&rft.spage=15&rft.epage=50&rft.pages=15-50&rft.issn=2194-5888&rft.eissn=2152-2812&rft_id=info:doi/10.1017/bca.2018.26&rft_dat=%3Cproquest_pubme%3E2195211297%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2195211297&rft_id=info:pmid/32968616&rfr_iscdi=true |