dc.contributor.author | Cappelen, Ådne | |
dc.contributor.author | Mohnen, Pierre | |
dc.contributor.author | Raknerud, Arvid | |
dc.contributor.author | Rybalka, Marina | |
dc.date.accessioned | 2023-09-07T13:55:37Z | |
dc.date.available | 2023-09-07T13:55:37Z | |
dc.date.issued | 2023-08 | |
dc.identifier.issn | 1892-753X | |
dc.identifier.uri | https://hdl.handle.net/11250/3087968 | |
dc.description.abstract | This paper revisits the estimation of private returns to R&D. In an extension of the standard
approach, we allow for endogeneity of production decisions, heterogeneity of R&D elasticities, and
asymmetric treatment of intramural and extramural R&D. Our empirical analyses are based on an
extended Cobb-Douglas production function that allows for firms with zero R&D capital, which is
especially useful for studying firms’ transition from being R&D-non—active to becoming R&D-active.
Using a large panel of Norwegian firms observed in the period 2001-2018, we estimate the average
private net return to be in the range 0-5 percent across a variety of model specifications if we treat
intra- and extramural R&D symmetrically. If in compliance with the Frascati manual, we treat
intramural R&D as investment and extramural R&D as intermediate input, the estimated net return
increases to 5-10 percent. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Statistisk sentralbyrå | en_US |
dc.relation.ispartofseries | Discussion Paper;No. 1005 | |
dc.rights | Navngivelse-Ikkekommersiell 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/deed.no | * |
dc.subject | Returns to R&D | en_US |
dc.subject | Intramural R&D | en_US |
dc.subject | Extramural R&D | en_US |
dc.subject | Capitalization of R&D | en_US |
dc.subject | Dynamic panel data models | en_US |
dc.subject | GMM | en_US |
dc.title | A new approach to estimating private returns to R&D | en_US |
dc.type | Working paper | en_US |
dc.rights.holder | © Statistisk sentralbyrå | en_US |
dc.source.pagenumber | 43 | en_US |
dc.relation.project | Norges Forskningsråd: 256240 | en_US |