Econometric Analysis of Productivity: Theory and Implementation in R
Robin C. Sickles (),
Wonho Song () and
Additional contact information
Robin C. Sickles: Department of Economics, Rice University
Wonho Song: School of Economics, Chung-Ang University
No WP082018, CEPA Working Papers Series from University of Queensland, School of Economics
Our chapter details a wide variety of approaches used in estimating productivity and efficiency based on methods developed to estimate frontier production using Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). The estimators utilize panel, single cross section, and time series data sets. The R programs include such approaches to estimate firm efficiency as the time invariant fixed effects, correlated random effects, and uncorrelated random effects panel stochastic frontier estimators, time varying fixed effects, correlated random effects, and uncorrelated random effects estimators, semi-parametric efficient panel frontier estimators, factor models for cross-sectional and time-varying efficiency, bootstrapping methods to develop confidence intervals for index number-based productivity estimates and their decompositions, DEA and Free Disposable Hull estimators. The chapter provides the professional researcher, analyst, statistician, and regulator with the most up to date efficiency modelling methods in the easily accessible open source programming language R.
Keywords: Production (technical) efficiency; Stochastic frontier analysis; Data envelopment analysis; Panel data; Index numbers; Non-parametric analysis; Bootstrapping (search for similar items in EconPapers)
JEL-codes: C10 C44 C13 C14 C15 C50 D24 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Working Paper: Econometric Analysis of Productivity: Theory and Implementation in R (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:qld:uqcepa:129
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 ().