Abstract
Although the literature suggests that nursing home location is instrumental to the efficient functioning of the long-term care industry, there has been little research directly focused on the spatial distribution of nursing homes. We discuss factors that may influence nursing home location choice, emphasizing agglomeration economies around hospitals. We estimate econometric models of location using information on all freestanding, MediCal-licensed long-term care facilities in the state of California. We find that nursing homes are more likely to locate in the same Census tract as a hospital and are more likely to locate in tracts nearer to those containing a hospital.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 139-157 |
| Number of pages | 19 |
| Journal | Health Economics (United Kingdom) |
| Volume | 26 |
| DOIs | |
| State | Published - Sep 2017 |
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Keywords
- agglomeration economies
- conditionally parametric (CPAR) model
- hospital
- localization economies
- location
- nursing home
ASJC Scopus subject areas
- Health Policy
Cite this
The eldercare landscape : Evidence from California. / McMillen, Daniel P; Powers, Elizabeth T.
In: Health Economics (United Kingdom), Vol. 26, 09.2017, p. 139-157.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The eldercare landscape
T2 - Evidence from California
AU - McMillen, Daniel P
AU - Powers, Elizabeth T
PY - 2017/9
Y1 - 2017/9
N2 - Although the literature suggests that nursing home location is instrumental to the efficient functioning of the long-term care industry, there has been little research directly focused on the spatial distribution of nursing homes. We discuss factors that may influence nursing home location choice, emphasizing agglomeration economies around hospitals. We estimate econometric models of location using information on all freestanding, MediCal-licensed long-term care facilities in the state of California. We find that nursing homes are more likely to locate in the same Census tract as a hospital and are more likely to locate in tracts nearer to those containing a hospital.
AB - Although the literature suggests that nursing home location is instrumental to the efficient functioning of the long-term care industry, there has been little research directly focused on the spatial distribution of nursing homes. We discuss factors that may influence nursing home location choice, emphasizing agglomeration economies around hospitals. We estimate econometric models of location using information on all freestanding, MediCal-licensed long-term care facilities in the state of California. We find that nursing homes are more likely to locate in the same Census tract as a hospital and are more likely to locate in tracts nearer to those containing a hospital.
KW - agglomeration economies
KW - conditionally parametric (CPAR) model
KW - hospital
KW - localization economies
KW - location
KW - nursing home
UR - http://www.scopus.com/inward/record.url?scp=85029665725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029665725&partnerID=8YFLogxK
U2 - 10.1002/hec.3567
DO - 10.1002/hec.3567
M3 - Article
C2 - 28940921
AN - SCOPUS:85029665725
VL - 26
SP - 139
EP - 157
JO - Health Economics
JF - Health Economics
SN - 1057-9230
ER -