| Article ID: | iaor20162355 |
| Volume: | 19 |
| Issue: | 2 |
| Start Page Number: | 130 |
| End Page Number: | 143 |
| Publication Date: | Jun 2016 |
| Journal: | Health Care Management Science |
| Authors: | Schreygg Jonas, Bchner Vera, Hinz Vera |
| Keywords: | statistics: inference, statistics: data envelopment analysis, decision |
This study investigates potential changes in hospital performance after health system entry, while differentiating between hospital technical and cost efficiency and hospital profitability. In the first stage we obtained (bootstrapped) data envelopment analysis (DEA) efficiency scores. Then, genetic matching is used as a novel matching procedure in this context along with a difference‐in‐difference approach within a panel regression framework. With the genetic matching procedure, independent and health system hospitals are matched along a number of environmental and organizational characteristics. The results show that health system entry increases hospital technical and cost efficiency by between 0.6 and 3.4 % in four alternative post‐entry periods, indicating that health system entry has not a transitory but rather a permanent effect on hospital efficiency. Regarding hospital profitability, the results reveal an increase in hospital profitability only 1 year after health system entry, and the estimations suggest that this effect is a transitional phenomenon. Overall, health system entry may serve as an appropriate management instrument for decision makers to increase hospital performance.