Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/263794 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
CESifo Working Paper No. 9864
Verlag: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Zusammenfassung: 
In the home-care services industry, caregivers drive to visit patients scattered in a district and deliver various care services at the patient's home. We use a unique data set, with a standard panel structure, recording the hours of service and the exact number of miles traveled by each employee. The estimated average transportation cost curves, giving the ratio of miles traveled per hour of service, as a function of hours of service at the patient's home, typically exhibit economies of density. These results suggest that the home-care sector is characterized by excess entry and that a form of franchise-bidding regulation could be appropriate. We study the unobserved heterogeneity of employees and use a quadratic-inlogs, finite-mixture model with latent groups to uncover a finite number of employee types with different cost curves. Some types, but not all, have U-shaped average cost curves yielding an aggregate average transportation cost that is itself U-shaped. Economies of density are mainly due to team synergies operating at the district level. We also show that our model can be interpreted as a test of organizational efficiency based on the Beardwood-Halton-Hammersley (1959) theorem of combinatorial optimization.
Schlagwörter: 
home care services
elderly
economies of scale
economies of density
transportation costs
Beardwood-Halton-Hammersley theorem
applied econometrics
panel data
unobserved heterogeneity
finite mixture models
entropy criteria
JEL: 
I11
I18
L22
L23
Dokumentart: 
Working Paper
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