rail_out_p

Data set used for example 4.10, p.128, 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

rail_out_p function

A data frame with 12 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>p1</code></dt><dd>prices of Mainland Freight services ($/NTK)</dd>
 <dt><code>p2</code></dt><dd>prices of Tasrail Freight services ($/NTK)</dd>
 <dt><code>p3</code></dt><dd>prices of Passenger services ($/PTK)</dd>
 </dl>

Format

Australian National Railways Data: Output Prices — rail_out_p

A data frame with 12 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>p1</code></dt><dd>prices of Mainland Freight services ($/NTK)</dd>
 <dt><code>p2</code></dt><dd>prices of Tasrail Freight services ($/NTK)</dd>
 <dt><code>p3</code></dt><dd>prices of Passenger services ($/PTK)</dd>
 </dl>

rail_out_p: Australian National Railways Data: Output Prices

Description

Usage

Arguments

Format

References