Browsing by Subject "Instrumental variable"

Now showing 1 - 2 of 2

Empirical analysis of regional economic performance in Russia : human capital perspective
(2012) Kufenko, Vadim
Having shown the important role of the Russian economy in the ex-USSR region by causality tests, we proceed to empirical analysis of growth and performance of the Russian regions. A dynamic panel data approach enabled us to obtain elasticity coefficients on proxies for convergence, physical capital, labour and innovation. After including human capital in the reformulated model we resolve endogeneity and reverse causality by introducing two instrumental variable approaches. Taking advantage of the Unified State Exam data we managed to successfully endogenize human capital by number (and share) of outperforming students and by the education index. The second approach helped to improve causality between instruments and human capital: the dates of first university foundation and distance to Moscow successfully explains human capital variations due to historical and spatial characteristics of a given region.
Inter-firm R&D networks in pharmaceutical biotechnology : what determines firm's centrality-based partnering capability?
(2013) Schwalbe, Ulrich; Riedel, Nadine; Krogmann, Yin
This paper analyses the inter-firm R&D network formed in the pharmaceutical biotechnology industry during the 1990s from different perspectives: theoretical network formation, firm's structural positions and its collaborations at the entire network level, and the determinants for firm's centrality-based partnering capability. The results indicate that pharmaceutical biotechnology industry has experienced a significant evolutional change in size and structure during 1991-1998. By considering individual structural positions, the descriptive statistics show that in the 1990s, established pharmaceutical companies developed into dominant star players with multiple partnerships while holding central roles in the R&D network. In the network analysis that emphasized aggregate network level, the degree-based and betweenness-based network centralization were not high implying that the distribution of overall positional advantages in the pharmaceutical biotechnology industry is, to a large degree, not unequal and even though most firms in this sector are linked to the R&D network, some of them are more active than others. The current analysis also shows that firm's efficiency, firm's dependency on its complementary resources and firm's experiences at managing partnerships are important determinants for firm's centrality-based partnering capability, which has important managerial implications for understanding firm's strategic partnering behaviour.