[Journal:] BuR - Business Research [ISSN:] 1866-8658 [Volume:] 2 [Year:] 2009 [Issue:] 2 [Pages:] 115-145
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.
Germany data envelopment analysis non-parametric technique ownership performance measurement public hospitals truncated regression