Blar i Statistisk sentralbyrås publikasjonsserier / Published by Statistics Norway på emneord "JEL classification: O32"
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Empirical patterns of firm growth and r&d investment: a quality ladder model interpretation
(Discussion Papers;No. 188, Working paper, 1997)We present a model of endogenous firm growth with R&D investment and innovation as the engine of growth. The objective of our analysis is to present a framework that can be used for microeconometric analysis of firm ... -
Estimating the additionality of R&D subsidies using proposal evaluation data to control for firms’ R&D intentions
(Discussion papers;729, Working paper, 2012-12)Empirical examination of whether R&D subsidies to private firms crowd out private investments has been hampered by problems related to selection. A particular worry is that research intentions and the quality of current ... -
Knowledge spillovers and the timing of R&D policy
(Discussion Papers;635, Working paper, 2010)We analyze how knowledge spillovers influence the optimal timing of R&D policy. Using numerical simulations we find that optimal subsidies to R&D may be rising over time even when the returns to knowledge is decreasing. ... -
On R&D anf the undersupply of emerging versus mature technolgies
(Discussion Papers;571, Working paper, 2008)An important policy question is whether research and development (R&D) in new, emerging technologies should be more subsidized than R&D in other more mature technologies. In this paper I analyze if innovation externalities ... -
Strategic climate policy in small, open economies
(Discussion Papers;No. 448, Working paper, 2006)Abstract: According to environmental interests groups governments should use their climate policy strategically in order to provide for a faster introduction of new, cleaner technologies. Strategic use of climate policy ... -
When subsidized R&D-firms fail, do they still stimulate growth? Tracing knowledge by following employees across firms
(Discussion Papers;No. 399, Working paper, 2004)Public R&D subsidies aim to target particularly risky R&D and R&D with large externalities. One would expect many such projects to fail from a commercial point of view, but they may still produce knowledge with social ...