swissrailways {sfaR}R Documentation

Data on Swiss railway companies

Description

This dataset is an unbalanced panel of 50 Swiss railway companies over the period 1985-1997.

Format

A data frame with 605 observations on the following 42 variables.

ID

Firm identification.

YEAR

Year identification.

NI

Number of years observed.

STOPS

Number of stops in network.

NETWORK

Network length (in meters).

NARROW_T

Dummy variable for railroads with narrow track.

RACK

Dummy variable for ‘rack rail’ in network.

TUNNEL

Dummy variable for network with tunnels over 300 meters on average.

T

Time indicator, first year = 0.

Q2

Passenger output – passenger km.

Q3

Freight output – ton km.

CT

Total cost (1,000 Swiss franc).

PL

Labor price.

PE

Electricity price.

PK

Capital price.

VIRAGE

1 for railroads with curvy tracks.

LNCT

Log of CT/PE.

LNQ2

Log of Q2.

LNQ3

Log of Q3.

LNNET

Log of NETWORK/1000.

LNPL

Log of PL/PE.

LNPE

Log of PE.

LNPK

Log of PK/PE.

LNSTOP

Log of STOPS.

MLNQ2

Mean of LNQ2.

MLNQ3

Mean of LNQ3.

MLNNET

Mean of LNNET.

MLNPL

Mean of LNPL.

MLNPK

Mean of LNPK.

MLNSTOP

Mean of LNSTOP.

Details

The dataset is extracted from the annual reports of the Swiss Federal Office of Statistics on public transport companies and has been used in Farsi et al. (2005).

Source

http://pages.stern.nyu.edu/~wgreene/Text/Edition7/tablelist8new.htm

http://people.stern.nyu.edu/wgreene/Microeconometrics.htm

References

Farsi, M., M. Filippini, and W. Greene. 2005. Efficiency measurement in network industries: Application to the Swiss railway companies. Journal of Regulatory Economics, 28:69–90.

Examples


str(swissrailways)

[Package sfaR version 1.0.0 Index]