Profit incentives and technical efficiency in the production of nursing home care
In recent years, nursing home care expenditures have approached 1% of GNP. Their growth is a major contributor to the escalating costs of health care. In this article, we analyze a sample of nursing homes from Wisconsin to determine the characteristics of the efficiently operated nursing homes. Data...
Gespeichert in:
| Veröffentlicht in: | The review of economics and statistics 1989-11, Vol.71 (4), p.586-594 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 594 |
|---|---|
| container_issue | 4 |
| container_start_page | 586 |
| container_title | The review of economics and statistics |
| container_volume | 71 |
| creator | Nyman, J.A Bricker, D.L |
| description | In recent years, nursing home care expenditures have approached 1% of GNP. Their growth is a major contributor to the escalating costs of health care. In this article, we analyze a sample of nursing homes from Wisconsin to determine the characteristics of the efficiently operated nursing homes. Data envelopment analysis is used to calculate efficiency scores for the various nursing homes in the sample. We then use regression analysis to investigate the determinants of efficiency, holding constant the characteristics of the output. We find that for-profit firms have significantly higher efficiency scores. |
| doi_str_mv | 10.2307/1928100 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_194674909</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>1928100</jstor_id><sourcerecordid>1928100</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-b8221fecb5b1e0441538df599445c84ed67e582aae310fd85deecaa63950843e3</originalsourceid><addsrcrecordid>eNp90EtLAzEUBeAgCtYH_gSDCq5Gb14zyVLEFwgq2vWQZm5sik1qMhX67x0Zt7q6m497DoeQIwYXXEBzyQzXDGCLTJgSUBkm-TaZAAhZ1UqoXbJXygIAWMPEhLw85-RDT0N0GPvwhYXa2NEe3TwGZz8oeh9cwOg2g6H9HOkqp27t-pAiTZ7GdS4hvtN5WiJ1NuMB2fH2o-Dh790n09ubt-v76vHp7uH66rFyUpm-mmnOmUc3UzOGIOVQVndeGSOlclpiVzeoNLcWBQPfadUhOmtrYRRoKVDsk5Px79Dnc42lbxdpneMQ2TIj60YaMAM6_RNxA7phwH_U-ahcTqVk9O0qh6XNm5ZB-zNq-zvqIM9GuSh9yv-w45F5m1r7nkNpp68cmADeAGihxDchQnwS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1290871029</pqid></control><display><type>article</type><title>Profit incentives and technical efficiency in the production of nursing home care</title><source>Periodicals Index Online</source><source>JSTOR Mathematics & Statistics</source><source>EBSCOhost Business Source Complete</source><source>Jstor Complete Legacy</source><creator>Nyman, J.A ; Bricker, D.L</creator><creatorcontrib>Nyman, J.A ; Bricker, D.L</creatorcontrib><description>In recent years, nursing home care expenditures have approached 1% of GNP. Their growth is a major contributor to the escalating costs of health care. In this article, we analyze a sample of nursing homes from Wisconsin to determine the characteristics of the efficiently operated nursing homes. Data envelopment analysis is used to calculate efficiency scores for the various nursing homes in the sample. We then use regression analysis to investigate the determinants of efficiency, holding constant the characteristics of the output. We find that for-profit firms have significantly higher efficiency scores.</description><identifier>ISSN: 0034-6535</identifier><identifier>EISSN: 1530-9142</identifier><identifier>DOI: 10.2307/1928100</identifier><identifier>CODEN: RECSA9</identifier><language>eng</language><publisher>Cambridge, Mass: Elsevier Science Publishers B.V. (North-Holland)</publisher><subject>administrative management ; Cost control ; Cost efficiency ; Cost functions ; data analysis ; Data envelopment analysis ; Efficiency ; Efficiency metrics ; Expenditures ; GNP ; Gross National Product ; Health care costs ; Health care expenditures ; Health care industry ; Hospital beds ; Linear programming ; Medicaid ; Minimization of cost ; Nonprofit hospitals ; Nonprofit organizations ; Nursing homes ; Production efficiency ; Profit ; profitability ; quality ; Regression analysis ; Studies ; Variables</subject><ispartof>The review of economics and statistics, 1989-11, Vol.71 (4), p.586-594</ispartof><rights>Copyright 1989 The President and Fellows of Harvard College</rights><rights>Copyright MIT Press Journals Nov 1989</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-b8221fecb5b1e0441538df599445c84ed67e582aae310fd85deecaa63950843e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/1928100$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/1928100$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,832,27867,27922,27923,58015,58019,58248,58252</link.rule.ids></links><search><creatorcontrib>Nyman, J.A</creatorcontrib><creatorcontrib>Bricker, D.L</creatorcontrib><title>Profit incentives and technical efficiency in the production of nursing home care</title><title>The review of economics and statistics</title><description>In recent years, nursing home care expenditures have approached 1% of GNP. Their growth is a major contributor to the escalating costs of health care. In this article, we analyze a sample of nursing homes from Wisconsin to determine the characteristics of the efficiently operated nursing homes. Data envelopment analysis is used to calculate efficiency scores for the various nursing homes in the sample. We then use regression analysis to investigate the determinants of efficiency, holding constant the characteristics of the output. We find that for-profit firms have significantly higher efficiency scores.</description><subject>administrative management</subject><subject>Cost control</subject><subject>Cost efficiency</subject><subject>Cost functions</subject><subject>data analysis</subject><subject>Data envelopment analysis</subject><subject>Efficiency</subject><subject>Efficiency metrics</subject><subject>Expenditures</subject><subject>GNP</subject><subject>Gross National Product</subject><subject>Health care costs</subject><subject>Health care expenditures</subject><subject>Health care industry</subject><subject>Hospital beds</subject><subject>Linear programming</subject><subject>Medicaid</subject><subject>Minimization of cost</subject><subject>Nonprofit hospitals</subject><subject>Nonprofit organizations</subject><subject>Nursing homes</subject><subject>Production efficiency</subject><subject>Profit</subject><subject>profitability</subject><subject>quality</subject><subject>Regression analysis</subject><subject>Studies</subject><subject>Variables</subject><issn>0034-6535</issn><issn>1530-9142</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNp90EtLAzEUBeAgCtYH_gSDCq5Gb14zyVLEFwgq2vWQZm5sik1qMhX67x0Zt7q6m497DoeQIwYXXEBzyQzXDGCLTJgSUBkm-TaZAAhZ1UqoXbJXygIAWMPEhLw85-RDT0N0GPvwhYXa2NEe3TwGZz8oeh9cwOg2g6H9HOkqp27t-pAiTZ7GdS4hvtN5WiJ1NuMB2fH2o-Dh790n09ubt-v76vHp7uH66rFyUpm-mmnOmUc3UzOGIOVQVndeGSOlclpiVzeoNLcWBQPfadUhOmtrYRRoKVDsk5Px79Dnc42lbxdpneMQ2TIj60YaMAM6_RNxA7phwH_U-ahcTqVk9O0qh6XNm5ZB-zNq-zvqIM9GuSh9yv-w45F5m1r7nkNpp68cmADeAGihxDchQnwS</recordid><startdate>19891101</startdate><enddate>19891101</enddate><creator>Nyman, J.A</creator><creator>Bricker, D.L</creator><general>Elsevier Science Publishers B.V. (North-Holland)</general><general>Harvard University Press, etc</general><general>MIT Press Journals, The</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>EOLOZ</scope><scope>FKUCP</scope><scope>IOIBA</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>19891101</creationdate><title>Profit incentives and technical efficiency in the production of nursing home care</title><author>Nyman, J.A ; Bricker, D.L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-b8221fecb5b1e0441538df599445c84ed67e582aae310fd85deecaa63950843e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>administrative management</topic><topic>Cost control</topic><topic>Cost efficiency</topic><topic>Cost functions</topic><topic>data analysis</topic><topic>Data envelopment analysis</topic><topic>Efficiency</topic><topic>Efficiency metrics</topic><topic>Expenditures</topic><topic>GNP</topic><topic>Gross National Product</topic><topic>Health care costs</topic><topic>Health care expenditures</topic><topic>Health care industry</topic><topic>Hospital beds</topic><topic>Linear programming</topic><topic>Medicaid</topic><topic>Minimization of cost</topic><topic>Nonprofit hospitals</topic><topic>Nonprofit organizations</topic><topic>Nursing homes</topic><topic>Production efficiency</topic><topic>Profit</topic><topic>profitability</topic><topic>quality</topic><topic>Regression analysis</topic><topic>Studies</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nyman, J.A</creatorcontrib><creatorcontrib>Bricker, D.L</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 01</collection><collection>Periodicals Index Online Segment 04</collection><collection>Periodicals Index Online Segment 29</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</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 review of economics and statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nyman, J.A</au><au>Bricker, D.L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Profit incentives and technical efficiency in the production of nursing home care</atitle><jtitle>The review of economics and statistics</jtitle><date>1989-11-01</date><risdate>1989</risdate><volume>71</volume><issue>4</issue><spage>586</spage><epage>594</epage><pages>586-594</pages><issn>0034-6535</issn><eissn>1530-9142</eissn><coden>RECSA9</coden><abstract>In recent years, nursing home care expenditures have approached 1% of GNP. Their growth is a major contributor to the escalating costs of health care. In this article, we analyze a sample of nursing homes from Wisconsin to determine the characteristics of the efficiently operated nursing homes. Data envelopment analysis is used to calculate efficiency scores for the various nursing homes in the sample. We then use regression analysis to investigate the determinants of efficiency, holding constant the characteristics of the output. We find that for-profit firms have significantly higher efficiency scores.</abstract><cop>Cambridge, Mass</cop><pub>Elsevier Science Publishers B.V. (North-Holland)</pub><doi>10.2307/1928100</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0034-6535 |
| ispartof | The review of economics and statistics, 1989-11, Vol.71 (4), p.586-594 |
| issn | 0034-6535 1530-9142 |
| language | eng |
| recordid | cdi_proquest_journals_194674909 |
| source | Periodicals Index Online; JSTOR Mathematics & Statistics; EBSCOhost Business Source Complete; Jstor Complete Legacy |
| subjects | administrative management Cost control Cost efficiency Cost functions data analysis Data envelopment analysis Efficiency Efficiency metrics Expenditures GNP Gross National Product Health care costs Health care expenditures Health care industry Hospital beds Linear programming Medicaid Minimization of cost Nonprofit hospitals Nonprofit organizations Nursing homes Production efficiency Profit profitability quality Regression analysis Studies Variables |
| title | Profit incentives and technical efficiency in the production of nursing home care |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T13%3A44%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Profit%20incentives%20and%20technical%20efficiency%20in%20the%20production%20of%20nursing%20home%20care&rft.jtitle=The%20review%20of%20economics%20and%20statistics&rft.au=Nyman,%20J.A&rft.date=1989-11-01&rft.volume=71&rft.issue=4&rft.spage=586&rft.epage=594&rft.pages=586-594&rft.issn=0034-6535&rft.eissn=1530-9142&rft.coden=RECSA9&rft_id=info:doi/10.2307/1928100&rft_dat=%3Cjstor_proqu%3E1928100%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1290871029&rft_id=info:pmid/&rft_jstor_id=1928100&rfr_iscdi=true |