rail_out_q

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_q function

A data frame with 12 observations on the following 3 variables.<dl>
 <dt><code>x1</code></dt>
<dd>quantities of Mainland Freight services (1,000 NTKs)</dd> <dt><code>x2</code></dt>
<dd>quantities of Tasrail Freight services (1,000 NTKs)</dd> <dt><code>x3</code></dt>
<dd>quantities of Passenger services (1,000 PTKs)</dd> 
</dl>

Format

Australian National Railways Data: Output Quantities — rail_out_q

A data frame with 12 observations on the following 3 variables.<dl>
 <dt><code>x1</code></dt>
<dd>quantities of Mainland Freight services (1,000 NTKs)</dd>

 <dt><code>x2</code></dt>
<dd>quantities of Tasrail Freight services (1,000 NTKs)</dd>

 <dt><code>x3</code></dt>
<dd>quantities of Passenger services (1,000 PTKs)</dd>

 
</dl>

rail_out_q: Australian National Railways Data: Output Quantities

Description

Usage

Arguments

Format

References