Estimating Output-Specific Efficiencies
The present book is the offspring of my Habilitation, which is the key to academic tenure in Austria. Legal requirements demand that a Ha bilitation be published and so only seeing it in print marks the real end of this biographical landmark project. From a scientific perspective I may hope to finally reach a broader audience with this book for a criti cal appraisal of the research done. Aside from objectives the book is a reflection of many years of research preceding Habilitation proper in the field of efficiency measurement. Regarding the subject matter the main intention was to fill an important remaining gap in the efficiency analysis literature. Hitherto no technique was available to estimate output-specific efficiencies in a statistically convincing way. This book closes this gap, although some desirable improvements and generalizations of the proposed estimation technique may yet be required, before it will eventually establish as standard tool for efficiency analysis. The likely audience for this book includes professional researchers, who want to enrich their tool set for applied efficiency analysis, as well as students of economics, management science or operations research, in tending to learn more about the potentials of rigorously understood efficiency analysis. But also managers or public officials potentially or dering efficiency studies should benefit from the book by learning about the extended capabilities of efficiency analysis. Just reading the intro duction may change their perception of value for money when it comes to comparative performance measurement.
What people are saying - Write a review
We haven't found any reviews in the usual places.
RELATION TO RADIAL MEASURES
MARKOV CHAIN MONTE CARLO ANALYSIS
DATA GENERATING PROCESS
Other editions - View all
amongst applied assumption best production possibilities bias corrected Chapter conjugacy convergence correlation corresponding covariance matrix data generating process DEA estimated frontier defined denote derived Dirichlet distribution DMU-specific DMU’s domain efficiency distribution efficiency frontier efficiency in producing efficiency measures elasticity of transformation evaluation example feasible Figure firm frontier estimation frontier point estimates function Gibbs sampling given graph grid implied inefficient input vector ISBN isoquant likelihood function likelihood surface logit transformed Markov chain MC-distribution mean efficiencies Monte Carlo observed output-ratios observed outputs output quantities output vector output-ratio vector output-specific efficiency estimation parameterization parameters performance perspective posterior distribution potential prior distributions problem producing output proposal distribution pupils radial efficiency scores random random variable ratios reference point regard resp restriction returns to scale scale invariance schools simulations specific efficiencies standard DEA statistical target output target output-ratios tion underlying updating variance