DO SPILLOVERS MATTER WHEN ESTIMATING PRIVATE RETURNS TO R&D?

成果类型:
Article
署名作者:
Eberhardt, Markus; Helmers, Christian; Strauss, Hubert
署名单位:
University of Nottingham; Universidad Carlos III de Madrid
刊物名称:
REVIEW OF ECONOMICS AND STATISTICS
ISSN/ISSBN:
0034-6535
DOI:
10.1162/REST_a_00272
发表日期:
2013-05
页码:
436-448
关键词:
panel-data productivity growth TECHNOLOGY TRADE restrictions INVESTMENT distance models tests
摘要:
A large body of literature estimates private returns to R&D adopting the Griliches knowledge production framework, which ignores the potential impact of spillovers on consistent estimation. Using a panel of twelve manufacturing industries across ten OECD economies, we investigate whether ignoring spillovers leads to bias in the estimated private returns to R&D. We compare results from a common factor framework, which accounts for spillovers and other unobserved shocks, to those from a standard Griliches approach. Our findings confirm that conventional estimates conflate own-R&D and spillover effects, implying that spillovers cannot be ignored even when the interest lies exclusively in evaluating private returns to R&D.
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