Using least squares and Tobit in second stage DEA efficiency analyses

From MaRDI portal
Publication:1015001

DOI10.1016/j.ejor.2008.07.039zbMath1159.91462OpenAlexW2106177888MaRDI QIDQ1015001

John McDonald

Publication date: 30 April 2009

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2008.07.039




Related Items (22)

Management of agricultural research centers in Brazil: a DEA application using a dynamic GMM approachEfficiency assessment of primary care providers: a conditional nonparametric approachCentralized allocation of human resources. An application to public schoolsCross-country comparison of the efficiency of the European forest sector and second stage DEA approachVariable selection in data envelopment analysis via Akaike's information criteriaThree-stage DEA models for incorporating exogenous inputsModeling innovation efficiency, its micro-level drivers, and its impact on stock returnsEstimating the impact of contextual variables on the productivity: An enhanced slack-based DEA modelAssessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regressionOne-stage and two-stage DEA estimation of the effects of contextual variablesWheat farming system performance and irrigation efficiency in Pakistan: a bootstrapped metafrontier approachTechnical efficiency estimation with multiple inputs and multiple outputs using regression analysisFoundations of operations research: from linear programming to data envelopment analysisDynamic firm performance and estimator choice: a comparison of dynamic panel data estimatorsInterest rate liberalization and bank efficiency: a DEA analysis of Chinese commercial banksWhen to increase firms' sustainable operations for efficiency? A data envelopment analysis in the retailing industryUnder pressure: how the business environment affects productivity and efficiency of European life insurance companiesRelating supply network structure to productive efficiency: a multi-stage empirical investigationTwo-stage estimation of the impact of contextual variables in stochastic frontier production function models using data envelopment analysis: second stage OLS versus bootstrap approachesTesting inference in heteroskedastic fixed effects modelsInnovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approachThe origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998--2020)


Uses Software


Cites Work


This page was built for publication: Using least squares and Tobit in second stage DEA efficiency analyses