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have provided continuing guidance as we try to understand nanoscale science and technology well enough to measure and model its growth and commercialization. Evelyn Hu's detailed comments particularly improved the paper, and members of the UCLA Innovation Workshop also provided useful comments. We are indebted to Luis Arias, Chuling Chen, Rui Wu, and Josh Mason for their work on the nanotechnology data and analysis. This paper is a part of the NBER's research program in Productivity. Any opinions expressed are those of the authors and not those of their employers or the National Bureau of Economic Research.

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The paper was improved by insightful comments from several discussants and anonymous referees. Certain data included herein are derived

Recent development in the theory and practice of neutron correlation ("coincidence") counting require knowledge of the higher factorial moments of the P v distribution (the probability that (v) neutrons are emitted in a fission) for the case where the fission is induced by bombarding neutrons of more than thermal energies.In contrast to the situation with spontaneous and thermal neutron induced fission, where, with a few exceptions the P v is reasonably well known, in the fast neutron energy region, almost no information is available concerning the multiplicity beyond the average value, , even for the most important nuclides. The reason for this is the difficulty of such » experiments, with consequent statistically poor and physically \ inconsistent results.