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Benchmarking for Performance Evaluation - A Production Frontier Approach (Paperback, Softcover reprint of the original 1st ed. 2015)
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Benchmarking for Performance Evaluation - A Production Frontier Approach (Paperback, Softcover reprint of the original 1st ed. 2015)
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This book provides a detailed introduction to the theoretical and
methodological foundations of production efficiency analysis using
benchmarking. Two of the more popular methods of efficiency
evaluation are Stochastic Frontier Analysis (SFA) and Data
Envelopment Analysis (DEA), both of which are based on the concept
of a production possibility set and its frontier. Depending on the
assumed objectives of the decision-making unit, a Production, Cost,
or Profit Frontier is constructed from observed data on input and
output quantities and prices. While SFA uses different maximum
likelihood estimation techniques to estimate a parametric frontier,
DEA relies on mathematical programming to create a nonparametric
frontier. Yet another alternative is the Convex Nonparametric
Frontier, which is based on the assumed convexity of the production
possibility set and creates a piecewise linear frontier consisting
of a number of tangent hyper planes. Three of the papers in this
volume provide a detailed and relatively easy to follow exposition
of the underlying theory from neoclassical production economics and
offer step-by-step instructions on the appropriate model to apply
in different contexts and how to implement them. Of particular
appeal are the instructions on (i) how to write the codes for
different SFA models on STATA, (ii) how to write a VBA Macro for
repetitive solution of the DEA problem for each production unit on
Excel Solver, and (iii) how to write the codes for the
Nonparametric Convex Frontier estimation. The three other papers in
the volume are primarily theoretical and will be of interest to PhD
students and researchers hoping to make methodological and
conceptual contributions to the field of nonparametric efficiency
analysis.
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