Factor substitution and unobserved factor quality in nursing homes:
"This paper studies factor substitution in one important sector: the nursing home industry. Specifically, we measure the extent to which nursing homes substitute materials for labor when labor becomes relatively more expensive. From a policy perspective, factor substitution in this market is im...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass.
National Bureau of Economic Research
2004
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Schriftenreihe: | National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series
10465 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "This paper studies factor substitution in one important sector: the nursing home industry. Specifically, we measure the extent to which nursing homes substitute materials for labor when labor becomes relatively more expensive. From a policy perspective, factor substitution in this market is important because materials-intensive methods of care are associated with greater risks of morbidity and mortality among nursing home residents. Studying longitudinal data from 1991-1998 on nearly every nursing home in the United States, we use the method of instrumental variables (IV) to address the potential endogeneity of nursing home wages. The results from the IV models are consistent with the theory of factor substitution: higher nursing home wages are associated with lower staffing, greater use of materials (specifically, physical restraints), and a higher proportion of residents with pressure ulcers. A comparison of OLS and IV results suggests that empirical studies of factor substitution should take into account unobserved heterogeneity in factor quality"--National Bureau of Economic Research web site. |
Beschreibung: | 36 S. graph. Darst. |
Internformat
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490 | 1 | |a National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series |v 10465 | |
520 | 3 | |a "This paper studies factor substitution in one important sector: the nursing home industry. Specifically, we measure the extent to which nursing homes substitute materials for labor when labor becomes relatively more expensive. From a policy perspective, factor substitution in this market is important because materials-intensive methods of care are associated with greater risks of morbidity and mortality among nursing home residents. Studying longitudinal data from 1991-1998 on nearly every nursing home in the United States, we use the method of instrumental variables (IV) to address the potential endogeneity of nursing home wages. The results from the IV models are consistent with the theory of factor substitution: higher nursing home wages are associated with lower staffing, greater use of materials (specifically, physical restraints), and a higher proportion of residents with pressure ulcers. A comparison of OLS and IV results suggests that empirical studies of factor substitution should take into account unobserved heterogeneity in factor quality"--National Bureau of Economic Research web site. | |
650 | 4 | |a Statistik | |
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Datensatz im Suchindex
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author | Cawley, John H. Grabowski, David C. Hirth, Richard A. |
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dewey-ones | 330 - Economics |
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discipline | Wirtschaftswissenschaften |
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genre | Statistics |
genre_facet | Statistics |
id | DE-604.BV023590845 |
illustrated | Illustrated |
index_date | 2024-07-02T22:41:27Z |
indexdate | 2024-07-09T21:25:09Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016906175 |
oclc_num | 55628501 |
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owner | DE-521 DE-19 DE-BY-UBM |
owner_facet | DE-521 DE-19 DE-BY-UBM |
physical | 36 S. graph. Darst. |
publishDate | 2004 |
publishDateSearch | 2004 |
publishDateSort | 2004 |
publisher | National Bureau of Economic Research |
record_format | marc |
series | National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series |
series2 | National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series |
spelling | Cawley, John H. Verfasser (DE-588)129240966 aut Factor substitution and unobserved factor quality in nursing homes John Cawley ; David C. Grabowski ; Richard A. Hirth Cambridge, Mass. National Bureau of Economic Research 2004 36 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series 10465 "This paper studies factor substitution in one important sector: the nursing home industry. Specifically, we measure the extent to which nursing homes substitute materials for labor when labor becomes relatively more expensive. From a policy perspective, factor substitution in this market is important because materials-intensive methods of care are associated with greater risks of morbidity and mortality among nursing home residents. Studying longitudinal data from 1991-1998 on nearly every nursing home in the United States, we use the method of instrumental variables (IV) to address the potential endogeneity of nursing home wages. The results from the IV models are consistent with the theory of factor substitution: higher nursing home wages are associated with lower staffing, greater use of materials (specifically, physical restraints), and a higher proportion of residents with pressure ulcers. A comparison of OLS and IV results suggests that empirical studies of factor substitution should take into account unobserved heterogeneity in factor quality"--National Bureau of Economic Research web site. Statistik Equipment and Supplies economics Statistics Health Manpower organization & administration Statistics Longitudinal Studies Statistics Models, Statistical Nursing Homes organization & administration Statistics Nursing Homes statistics & numerical data Nursing homes Patient Care economics Statistics Patient Care statistics & numerical data Statistics Grabowski, David C. Verfasser (DE-588)129313289 aut Hirth, Richard A. Verfasser (DE-588)129313300 aut Erscheint auch als Online-Ausgabe National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series 10465 (DE-604)BV002801238 10465 http://papers.nber.org/papers/w10465.pdf kostenfrei Volltext |
spellingShingle | Cawley, John H. Grabowski, David C. Hirth, Richard A. Factor substitution and unobserved factor quality in nursing homes National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series Statistik Equipment and Supplies economics Statistics Health Manpower organization & administration Statistics Longitudinal Studies Statistics Models, Statistical Nursing Homes organization & administration Statistics Nursing Homes statistics & numerical data Nursing homes Patient Care economics Statistics Patient Care statistics & numerical data |
title | Factor substitution and unobserved factor quality in nursing homes |
title_auth | Factor substitution and unobserved factor quality in nursing homes |
title_exact_search | Factor substitution and unobserved factor quality in nursing homes |
title_exact_search_txtP | Factor substitution and unobserved factor quality in nursing homes |
title_full | Factor substitution and unobserved factor quality in nursing homes John Cawley ; David C. Grabowski ; Richard A. Hirth |
title_fullStr | Factor substitution and unobserved factor quality in nursing homes John Cawley ; David C. Grabowski ; Richard A. Hirth |
title_full_unstemmed | Factor substitution and unobserved factor quality in nursing homes John Cawley ; David C. Grabowski ; Richard A. Hirth |
title_short | Factor substitution and unobserved factor quality in nursing homes |
title_sort | factor substitution and unobserved factor quality in nursing homes |
topic | Statistik Equipment and Supplies economics Statistics Health Manpower organization & administration Statistics Longitudinal Studies Statistics Models, Statistical Nursing Homes organization & administration Statistics Nursing Homes statistics & numerical data Nursing homes Patient Care economics Statistics Patient Care statistics & numerical data |
topic_facet | Statistik Equipment and Supplies economics Statistics Health Manpower organization & administration Statistics Longitudinal Studies Statistics Models, Statistical Nursing Homes organization & administration Statistics Nursing Homes statistics & numerical data Nursing homes Patient Care economics Statistics Patient Care statistics & numerical data Statistics |
url | http://papers.nber.org/papers/w10465.pdf |
volume_link | (DE-604)BV002801238 |
work_keys_str_mv | AT cawleyjohnh factorsubstitutionandunobservedfactorqualityinnursinghomes AT grabowskidavidc factorsubstitutionandunobservedfactorqualityinnursinghomes AT hirthricharda factorsubstitutionandunobservedfactorqualityinnursinghomes |