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dc.contributor.authorHenningsen, Morten
dc.contributor.authorHægeland, Torbjørn
dc.contributor.authorMøen, Jarle
dc.date.accessioned2014-05-14T07:38:57Z
dc.date.available2014-05-14T07:38:57Z
dc.date.issued2014-04
dc.identifier.issn1500-4066
dc.identifier.urihttp://hdl.handle.net/11250/194989
dc.description.abstractEmpirical examination of whether R&D subsidies crowd out private investments has been hampered by selection problems. A particular worry is that project quality and research intentions may be correlated with the likelihood of receiving subsidies. Using proposal evaluation data to control for research intentions, we do not find strong evidence suggesting that this type of selection creates a severe bias. Proposal evaluation grades strongly predict R&D investments and reduce selection bias in cross‐sectional regressions, but there is limited variation in grades within firms over time. Hence, in our sample, unobserved project quality is largely absorbed by firm fixed effects. Our best estimate of the short‐run additionality of R&D subsidies is 1.15, i.e., a one‐unit increase in subsidy increases total R&D expenditure in the recipient firm by somewhat more than a unit. We demonstrate, however, that there is measurement error in the subsidy variable. Additionality is therefore likely to be underestimated.nb_NO
dc.language.isoengnb_NO
dc.publisherFORnb_NO
dc.relation.ispartofseriesDiscussion paper;18/14
dc.subjecttechnology policynb_NO
dc.subjectR&D subsidiesnb_NO
dc.subjectinput additionalitynb_NO
dc.subjectselectionnb_NO
dc.subjectproxy variablesnb_NO
dc.titleEstimating the additionality of R&D subsidies using proposal evaluation data to control for research intentionsnb_NO
dc.typeWorking papernb_NO


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