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Measuring innovation with official statistics

In: Handbook on the Theory and Practice of Program Evaluation

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  • John E. Jankowski

Abstract

As this volume demonstrates, a wide variety of methodologies exist to evaluate particularly the objectives and outcomes of research and development programs. These include surveys, statistical and econometric estimations, patent analyses, bibliometrics, scientometrics, network analyses, case studies, and historical tracings. Contributors divide these and other methods and applications into four categories – economic, non-economic, hybrid and data-driven – in order to discuss the many factors that affect the utility of each technique and how that impacts the technological, economic and societal forecasts of the programs in question.

Suggested Citation

  • John E. Jankowski, 2013. "Measuring innovation with official statistics," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 13, pages 366-390, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14384_13
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