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Efficiency Analysis - A Primer on Recent Advances (Paperback)
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Efficiency Analysis - A Primer on Recent Advances (Paperback)
Series: Foundations and Trends (R) in Econometrics
Expected to ship within 10 - 15 working days
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Efficiency Analysis details the important econometric area of
efficiency estimation, both past approaches as well as new
methodology. There are two main camps in efficiency analysis: that
which estimates maximal output and attributes all departures from
this as inefficiency, known as Data Envelopment Analysis (DEA), and
that which allows for both unobserved variation in output due to
shocks and Measurement error as well as inefficiency, known as
Stochastic Frontier Analysis (SFA). This volume focuses exclusively
on SFA. The econometric study of efficiency analysis typically
begins by constructing a convoluted error term that is composed on
noise, shocks, Measurement error, and a one-sided shock called
inefficiency. Early in the development of these methods, attention
focused on the proposal of distributional assumptions which yielded
a likelihood function whereby the parameters of the distributional
components of the convoluted error could be recovered. The field
evolved to the study of individual specific efficiency scores and
the extension of these methods to panel data. Recently, attention
has focused on relaxing the stringent distributional assumptions
that are commonly imposed, relaxing the functional form assumptions
commonly placed on the underlying technology, or some combination
of both. All told exciting and seminal breakthroughs have occurred
in this literature, and reviews of these methods are needed to
effectively detail the state of the art. The generality of SFA is
such that the study of efficiency has gone beyond simple
application of frontier methods to study firms and appears across a
diverse Set of applied milieus. This review should appeal to those
outside of the efficiency literature seeking to learn about new
methods which might assist them in uncovering phenomena in their
applied area of interest.
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