billy_inp_q

Data set used for example 4.7 and 4.9.3, p.114 and p.124, of An introduction to Efficiency and Productivity Analysis, 2nd edition.

datasets

Computing transitive (and non-transitive) index numbers (Coelli et al., 2005 <doi:10.1007/b136381>) for cross-sections and panel data. For the calculation of transitive indexes, the EKS (Coelli et al., 2005 <doi:10.1007/b136381>; Rao et al., 2002 <doi:10.1007/978-1-4615-0851-9_4>) and Minimum spanning tree (Hill, 2004 <doi:10.1257/0002828043052178>) methods are implemented. Traditional fixed-base and chained indexes, and their growth rates, can also be derived using the Paasche, Laspeyres, Fisher and Tornqvist formulas.

Edoardo Baldoni

multilaterals

Transitive Index Numbers for Cross-Sections and Panel Data

billy_inp_q function

A data frame with 5 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>year</code></dt><dd>years of observation</dd>
 <dt><code>x1</code></dt><dd>a numeric vector containing quantities of labor</dd>
 <dt><code>x2</code></dt><dd>a numeric vector containing quantities of capital</dd>
 <dt><code>x3</code></dt><dd>a numeric vector containing quantities of other inputs</dd>
 </dl>

Format

Billy's Bus Company Data: Inputs Quantities — billy_inp_q

A data frame with 5 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>year</code></dt><dd>years of observation</dd>
 <dt><code>x1</code></dt><dd>a numeric vector containing quantities of labor</dd>
 <dt><code>x2</code></dt><dd>a numeric vector containing quantities of capital</dd>
 <dt><code>x3</code></dt><dd>a numeric vector containing quantities of other inputs</dd>
 </dl>

billy_inp_q: Billy's Bus Company Data: Inputs Quantities

Description

Usage

Arguments

Format

References