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Our replication of a study estimating production function of Russian manufacturing firms in 2012-2018 by Kaukin and Zhemkova (2023) revealed unrealistic capital elasticities.
industry
labour
capital
01. Food, beverages, and tobacco
0.78
0.09
02. Textiles and textile products
0.83
0.03
03. Wood and products of wood and cork
0.74
0.05
04. Pulp, paper, printing and publishing
0.82
0.07
05. Coke, refined petroleum
0.73
-0.04
06. Chemicals and chemical products
0.72
0.02
07. Pharmaceutical products
0.82
0.20
08. Rubber and plastics
0.79
0.09
09. Other non-metallic mineral
0.69
0.05
10. Basic metals
0.63
0.06
11. Fabricated metals
0.75
0.05
12. Electrical and optical equipment
0.83
0.12
13. Electrical equipment
0.78
0.01
14. Machinery, not elsewhere classified
0.74
0.04
15. Transport equipment
0.69
0.16
16. Furniture
0.84
0.07
17. Manufacturing, not elsewhere classified
0.81
-0.01
18. Equipment repairs and installation
0.85
0.00
We provide 5 explanations for the apparent failure to replicate KZ exactly:
Data differences between Orbis and the RFSD
Differences in sample restrictions
Differences in deflators
Value added definition
Proxy variable
Thank you for any contributions.
The text was updated successfully, but these errors were encountered:
Our replication of a study estimating production function of Russian manufacturing firms in 2012-2018 by Kaukin and Zhemkova (2023) revealed unrealistic capital elasticities.
We provide 5 explanations for the apparent failure to replicate KZ exactly:
Thank you for any contributions.
The text was updated successfully, but these errors were encountered: