The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency.
%0 Journal Article
%1 j2009effects
%A Tiemann, Oliver
%A Schreyögg, Jonas
%D 2009
%J BuR - Business Research
%K Germany analysis data envelopment hospitals measurement nonparametric ownership performance public regression technique truncated
%N 2
%P 115-145
%T Effects of Ownership on Hospital Efficiency in Germany
%U http://www.business-research.org/2009/2/03management/2170/stoll1260789786.78.pdf
%V 2
%X The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency.
@article{j2009effects,
abstract = {The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency.},
added-at = {2010-01-28T09:04:42.000+0100},
author = {Tiemann, Oliver and Schreyögg, Jonas},
biburl = {https://www.bibsonomy.org/bibtex/2b845da9e3b7398f50bb884211590d12c/usbk},
interhash = {be5f0ca8e2028d50962a5a6f2a3862c8},
intrahash = {b845da9e3b7398f50bb884211590d12c},
journal = {BuR - Business Research},
keywords = {Germany analysis data envelopment hospitals measurement nonparametric ownership performance public regression technique truncated},
month = {December},
number = 2,
pages = {115-145},
timestamp = {2010-01-28T09:04:42.000+0100},
title = {Effects of Ownership on Hospital Efficiency in Germany},
url = {http://www.business-research.org/2009/2/03management/2170/stoll1260789786.78.pdf},
volume = 2,
year = 2009
}