GermanIndustry {micEconCES}R Documentation

Aggregated Time Series Data for the West German Industry

Description

The data frame GermanIndustry contains annual aggregated data of the entire West German industry from 1960 until 1993 as well as data of seven industrial sectors from 1970 to 1988/1992. This data set has been used by Kemfert (1998).

Usage

data(GermanIndustry)

Format

This data frame contains the following columns/variables:

year

the year.

Y

output: gross value added of the West German industrial sector (in billion Deutsche Mark at prices of 1991).

K

capital: gross stock of fixed assets of the West German industrial sector (in billion Deutsche Mark at prices of 1991).

A

labor: total number of persons employed in the West German industrial sector (in million).

E

energy: final energy consumption in the West German industrial sector (in GWh).

C_Y

gross value added of the West German chemical industry (in billion Deutsche Mark at prices of 1991).

C_K

capital: gross stock of fixed assets of the West German chemical industry (in billion Deutsche Mark at prices of 1991).

C_A

labor: total number of persons employed in the West German chemical industry (in thouands).

C_E

final energy consumption in the West German chemical industry (in GWh).

S_Y

gross value added of the West German stone and earth industry (in billion Deutsche Mark at prices of 1991).

S_K

capital: gross stock of fixed assets of the West German stone and earth industry (in billion Deutsche Mark at prices of 1991).

S_A

labor: total number of persons employed in the West German stone and earth industry (in thouands).

S_E

final energy consumption in the West German stone and earth industry (in GWh).

I_Y

gross value added of the West German iron industry (in billion Deutsche Mark at prices of 1991).

I_K

capital: gross stock of fixed assets of the West German iron industry (in billion Deutsche Mark at prices of 1991).

I_A

labor: total number of persons employed in the West German iron industry (in thouands).

I_E

final energy consumption in the West German iron industry (in GWh).

N_Y

gross value added of the West German non-ferrous industry (in billion Deutsche Mark at prices of 1991).

N_K

capital: gross stock of fixed assets of the West German non-ferrous industry (in billion Deutsche Mark at prices of 1991).

N_A

labor: total number of persons employed in the West German non-ferrous industry (in thouands).

N_E

final energy consumption in the West German non-ferrous industry (in GWh).

V_Y

gross value added of the West German vehicle industry (in billion Deutsche Mark at prices of 1991).

V_K

capital: gross stock of fixed assets of the West German vehicle industry (in billion Deutsche Mark at prices of 1991).

V_A

labor: total number of persons employed in the West German vehicle industry (in thouands).

V_E

final energy consumption in the West German vehicle industry (in GWh).

P_Y

gross value added of the West German paper industry (in billion Deutsche Mark at prices of 1991).

P_K

capital: gross stock of fixed assets of the West German paper industry (in billion Deutsche Mark at prices of 1991).

P_A

labor: total number of persons employed in the West German paper industry (in thouands).

P_E

final energy consumption in the West German paper industry (in GWh).

F_Y

gross value added of the West German food industry (in billion Deutsche Mark at prices of 1991).

F_K

capital: gross stock of fixed assets of the West German food industry (in billion Deutsche Mark at prices of 1991).

F_A

labor: total number of persons employed in the West German food industry (in thouands).

F_E

final energy consumption in the West German food industry (in GWh).

Note

Please note that Kemfert (1998) disregards the years 1973-1975 in her estimations due to economic disruptions.

Source

German Federal Statistical Office (Statistisches Bundesamt), data taken from Kemfert (1998).

References

Kemfert, Claudia (1998): Estimated Substitution Elasticities of a Nested CES Production Funktion Approach for Germany, Energy Economics 20: 249-264 (doi:10.1016/S0140-9883(97)00014-5)


[Package micEconCES version 1.0-2 Index]