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German chemical manufacturing industry is marked by two major structural changes during 1992-2004. Firstly, number of firms was ranging extensively: from 676 to 901, while only 96 firms represented balanced panel. Secondly, size of the firm dropped considerably-by 88%. This paper is intended to...
Persistent link: https://www.econbiz.de/10010264966
In der deutschen Chemieindustrie ging die Zahl der Beschäftigten von 1992 bis 2004 deutlich zurück, und die durchschnittliche Unternehmensgröße sank von 824 auf 433 Beschäftigte. Die Triebfeder dieser Entwicklung war weniger die Beseitigung technischer oder organisatorischer Ineffizienzen....
Persistent link: https://www.econbiz.de/10011602038
When analyzing what determines the efficiency of production, regressing efficiency scores estimated by DEA on explanatory variables has much intuitive appeal. Simar and Wilson (2007) show that this naïve two-stage estimation procedure suffers from severe flaws, that render its results, and in...
Persistent link: https://www.econbiz.de/10011855678
In der deutschen Chemieindustrie ging die Zahl der Beschäftigten von 1992 bis 2004 deutlich zurück, und die durchschnittliche Unternehmensgröße sank von 824 auf 433 Beschäftigte. Die Triebfeder dieser Entwicklung war weniger die Beseitigung technischer oder organisatorischer Ineffizienzen....
Persistent link: https://www.econbiz.de/10005070925
German chemical manufacturing industry is marked by two major structural changes during 1992-2004. Firstly, number of firms was ranging extensively: from 676 to 901, while only 96 firms represented balanced panel. Secondly, size of the firm dropped considerably-by 88%. This paper is intended to...
Persistent link: https://www.econbiz.de/10005069049
Persistent link: https://www.econbiz.de/10008596979
When analyzing what determines the efficiency of production, regressing efficiency scores estimated by DEA on explanatory variables has much intuitive appeal. Simar and Wilson (2007) show that this nai͏̈ve two-stage estimation procedure suffers from severe flaws, that render its results, and...
Persistent link: https://www.econbiz.de/10011854094
The challenge of the econometric problem in production efficiency analysis is that the efficiency scores to be analyzed are unobserved. Statistical properties have recently been discovered for a type of estimator popular in the literature, known as data envelopment analysis (DEA). This opens up...
Persistent link: https://www.econbiz.de/10009448175