Artikel

Economies of Scale and Efficiency Measurement in Switzerland's Nursing Homes

This paper examines the cost efficiency in the nursing home industry, an issue of concern to Swiss policy makers because of the explosive growth of national expenditure on elderly care and the aging of the population. A stochastic cost frontier model has been applied to a panel of 1780 observations from 356 nursing homes operating over 1998-2002 in Switzerland. We compare the estimation results from different econometric techniques focusing on the specification of unobserved heterogeneity across firms. The potential effects of such unobserved factors on the estimation results and their interpretation have been discussed. The findings suggest that the economies of scale are an important potential source of cost reduction in a majority of Swiss nursing homes. Moreover the average performance of a representative nursing home is very close to the estimated best practice.

Language
Englisch

Bibliographic citation
Journal: Swiss Journal of Economics and Statistics ; ISSN: 2235-6282 ; Volume: 144 ; Year: 2008 ; Issue: 3 ; Pages: 359-378 ; Heidelberg: Springer

Classification
Wirtschaft
Estimation: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
State and Local Government; Intergovernmental Relations: General
Analysis of Health Care Markets
Health: Government Policy; Regulation; Public Health
Nonprofit Organizations and Public Enterprise: General
Subject
cost efficiency
economies of scale
nursing homes
stochastic frontier
panel data

Event
Geistige Schöpfung
(who)
Farsi, Mehdi
Filippini, Massimo
Lunati, Diego
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2008

DOI
doi:10.1007/BF03399259
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Farsi, Mehdi
  • Filippini, Massimo
  • Lunati, Diego
  • Springer

Time of origin

  • 2008

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