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Dataset Design and Estimation Methods

In: Innovation Networks in the German Laser Industry

Author

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  • Muhamed Kudic

    (Stifterverband
    Halle Institute for Economic Research)

Abstract

The phenomenon under investigation guides the data collection process, the structural design of the dataset as well as the choice of empirical methods (Blossfeld et al. 2007, p. 4). The data collection process for the German laser industry database was described above. Now, we will turn our attention to the two latter points. Chapter 6 is divided into two sections: Section 6.1 presents the two compiled datasets. On the one hand, an event history dataset was constructed to analyze the propensity and timing of laser source manufacturers to cooperate and enter the German laser industry innovation network. On the other hand, a panel dataset was employed to analyze the determinants of firms in the German laser industry from various angles. Section 6.2 provides an overview and general discussion of estimation methods which were applied in Part IV of this book. We start with a brief discussion on non-parametric event history analysis models using continuous time, followed by an introduction of econometric models for panel count data.

Suggested Citation

  • Muhamed Kudic, 2015. "Dataset Design and Estimation Methods," Economic Complexity and Evolution, in: Innovation Networks in the German Laser Industry, edition 127, chapter 0, pages 123-134, Springer.
    • Handle: RePEc:spr:eccchp:978-3-319-07935-6_6
    DOI: 10.1007/978-3-319-07935-6_6
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