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We analyze the performance of firms in the German business-related services sector. A quarterly business survey provides the panel data base of our study. Firm performance is measured by the survey respondents' ordinal indication of their changes in total sales. We use a firstorder Markov chain...
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knowledge spillovers are unmeasurable, a 'goodness of fit' measure is constructed using innovation survey data. It turns out … measures constructed from innovation survey data appear to work reasonably well while measures of the Euclidean technological …
Persistent link: https://www.econbiz.de/10013428289
collaborate in R&D is increasing in R&D productivity. The key findings of the theoretical model are tested using German innovation … survey data for the service sector. A simultaneous model for cooperation choice and innovation expenditures shows that R …&D cooperation has a weakly significant positive effect on innovation expenditures. The empirical results broadly support the …
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outcomes. The UK, Sweden, Canada and the US obtain the highest management scores closely followed by Germany, with a gap to …
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and firm-level productivity in Germany. In our preferred TFP estimates only a small fraction of this correlation is …
Persistent link: https://www.econbiz.de/10012996465
The effect of website provision on the demand for German women's magazines is analyzed using differentiated product demand models estimated on panel data that cover the period 1990 2000. Descriptive evidence on the magazines' website contents suggests that websites are used to provide...
Persistent link: https://www.econbiz.de/10014120018
the input factors and workplace reorganization. The estimation results show that changes in human resources practices do … observable firm heterogeneity are larger if workplace reorganization is realized. We therefore apply Kernel density estimation … realized. We therefore apply Kernel density estimation technique to demonstrate that the entire labor productivity distribution …
Persistent link: https://www.econbiz.de/10013428430