Improving the accuracy of DEA efficiency analysis : a bootstrap application to the health care foodservice industry

A. Assaf, K. M. Matawie

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

This article analyses the efficiency of health care foodservice operations and its determinants using a Data Envelopment Analysis (DEA) boot-strapping approach. The purpose of using the bootstrapping approach is two-fold: first, to obtain the bias corrected estimates and the confidence intervals of DEA-efficiency scores and second, to overcome the correlation problem of DEA-efficiency scores and to provide consistent inferences in explaining the determinants of health care foodservice efficiency. The approach was implemented on a sample of 89 health care foodservice operations. The results showed the presence of inefficiency in the sample, with an average efficiency level of 72.6%. Further, the results from analysing the determinants of health care foodservice operations provided policy implication regarding the factors that might improve the efficiency of health care foodservice operations
Original languageEnglish
Pages (from-to)3547-3558
Number of pages12
JournalApplied Economics
Volume42
Issue number27
DOIs
Publication statusPublished - 2013

Fingerprint

Dive into the research topics of 'Improving the accuracy of DEA efficiency analysis : a bootstrap application to the health care foodservice industry'. Together they form a unique fingerprint.

Cite this