What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis
Bao Hoang Nguyen,
Robin Sickles and
Valentin Zelenyuk
Additional contact information
Bao Hoang Nguyen: School of Economics, University of Queensland, Brisbane, Qld 4072, Australia
No WP092021, CEPA Working Papers Series from University of Queensland, School of Economics
Abstract:
Our chapter provides a brief introduction to the stochastic frontier paradigm - one of the most powerful techniques for performance analysis developed over the lastfew decades to address various research questions for many contexts with empirical applications in a wide variety of economic sectors such as banking, healthcare, agriculture,and so on. We also document the estimation routines used to implement the classical models as well as the recent developments in this research area for practitioners, especially those who are willing to use Stata, but also with tips on sources for R and Matlab users.
Keywords: Technical efficiency; Stochastic frontier analysis; Panel data; Semi-parametric; Stata; Matlab; R. (search for similar items in EconPapers)
Date: 2021-06
New Economics Papers: this item is included in nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://economics.uq.edu.au/files/30481/WP092021.pdf (application/pdf)
Related works:
Working Paper: What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:qld:uqcepa:163
Access Statistics for this paper
More papers in CEPA Working Papers Series from University of Queensland, School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by SOE IT ().