milkProd

Data colected from Danish milk producers.

datasets

Methods for frontier
analysis, Data Envelopment Analysis (DEA), under different
technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
and using different efficiency measures (input based, output based,
hyperbolic graph, additive, super, and directional efficiency). Peers
and slacks are available, partial price information can be included,
and optimal cost, revenue and profit can be calculated. Evaluation of
mergers is also supported.  Methods for graphing the technology sets
are also included. There is also support for comparative methods based
on Stochastic Frontier Analyses (SFA) and for convex nonparametric
least squares of convex functions (STONED). In general, the methods
can be used to solve not only standard models, but also many other
model variants. It complements the book, Bogetoft and Otto,
Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
course also be used as a stand-alone package.

Lars Otto

Benchmarking

Benchmark and Frontier Analysis Using DEA and SFA

Peter Bogetoft

milkProd function

A data frame with 108 observations on the following 5 variables.<dl>
 <dt><code>farmNo</code></dt>
<dd>farm number</dd> <dt><code>milk</code></dt>
<dd>Output of milk, kg</dd> <dt><code>energy</code></dt>
<dd>Energy expenses</dd> <dt><code>vet</code></dt>
<dd>Veterinary expenses</dd> <dt><code>cows</code></dt>
<dd>Number of cows</dd> 
</dl>

Format

Data: Milk producers — milkProd

A data frame with 108 observations on the following 5 variables.<dl>
 <dt><code>farmNo</code></dt>
<dd>farm number</dd>

 <dt><code>milk</code></dt>
<dd>Output of milk, kg</dd>

 <dt><code>energy</code></dt>
<dd>Energy expenses</dd>

 <dt><code>vet</code></dt>
<dd>Veterinary expenses</dd>

 <dt><code>cows</code></dt>
<dd>Number of cows</dd>

 
</dl>

milkProd: Data: Milk producers

Description

Usage

Arguments

Format

Examples