As this volume demonstrates, a wide variety of methodologies exists 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.

Scholars, practitioners and students with an interest in economics and innovation will all find this Handbookan invaluable resource.

Contributors include: S. Arvanitis, B. Bozeman, S. Casault, S.E. Casey, I. Feller, M.P. Gallaher, D.O. Gray, A.J. Groen, D. Hicks, J.E. Jankowski, G.B. Jordan, G. Kingsley, A.N. Link, J.D. Linton, R.J. Loomis, J. Melkers, A.C. O Connor, D. Rivers, R. Ruegg, J.T. Scott, P. Thomas, N.S. Vonortas