annotated bibliography of fisheries economics literature - Office of ...

Coelli, Tim (1994). A Guide to FRONTIER Version 4.1: A Computer Program for
Stochastic Frontier Production and Cost Function Estimation. Draft
Working Paper, Department of Econometrics, University of New England,
Armidale, NSW, 2351, Australia, October, 38 pp.
This paper describes a computer program which has been written to
provide maximum likelihood estimates of the parameters of a number of
stochastic production and cost functions. The stochastic frontier models
considered can accommodate (unbalanced) panel data and assume firm effects
that are distributed as truncated normal random variables. The two primary
model specifications considered in the program are an error components
specification with time-varying efficiencies permitted (Battese and Coelli,
1992), which was estimated by FRONTIER Version 2.0, and a model specification
in which the firm effects are directly influenced by a number of variables
(Battese and Coelli, 1993). The computer program also permits the estimation
of many other models which have appeared in the literature through the
imposition of simple restrictions. Asymptotic estimates of standard errors
are calculated along with individual and mean efficiency estimates.
Coelli, Tim (1996). A Guide to DEAP Version 2.0: A Data Envelopment Analysis
(Computer) Program. CEPA Working Paper 96/08, Centre for Efficiency
and Productivity Analysis, Department of Econometrics, University of New
England, Armidale, NSW, 2351, Australia, 50 pp.
This paper describes a computer program which has been written to
conduct data envelopment analyses (DEA) for the purpose of calculating
efficiencies in production. The method implemented in the program are based
upon the work of Rolf Fare, Shawna Grosskopf, and their associates. Three
principle options are available in the computer program. The first involves
the standard CRS and VRS DEA models (that involve the calculation of technical
and scale efficiencies) which are outlined in Fare, Grosskopf, and Lovell
(1994). The second option considers the extension of these models to account
for cost and allocative efficiencies. These methods are also outlined in Fare
et al. (1994). The third option considers the application of Malmquist DEA
methods to panel data to calculate indices of total factor productivity (TFP)
change; technological change; technical efficiency change; and scale
efficiency change. These latter methods are discussed in Fare, Grosskopf,
Norris, and Zhang (1994). All methods are available in either an input or an
output orientation (with the exception of the cost efficiencies option).
Coelli, Tim (1996). A Guide to DEAP Version 2.1: A Data Envelopment Analysis
(Computer) Program. CEPA Working Paper 96/08, Centre for Efficiency
and Productivity Analysis, Department of Econometrics, University of New
England, Armidale, NSW, 2351, Australia, 50 pp.
This paper describes a computer program which has been written to
conduct data envelopment analyses (DEA) for the purpose of calculating
efficiencies in production. The method implemented in the program are based
upon the work of Rolf Fare, Shawna Grosskopf, and their associates. Three
principle options are available in the computer program. The first involves
the standard CRS and VRS DEA models (that involve the calculation of technical
and scale efficiencies) which are outlined in Fare, Grosskopf, and Lovell
(1994). The second option considers the extension of these models to account
for cost and allocative efficiencies. These methods are also outlined in Fare
et al. (1994). The third option considers the application of Malmquist DEA
methods to panel data to calculate indices of total factor productivity (TFP)
change; technological change; technical efficiency change; and scale
efficiency change. These latter methods are discussed in Fare, Grosskopf,
Norris, and Zhang (1994). All methods are available in either an input or an
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