R&D and productivity in OECD firms and industries: a hierarchical meta-regression analysis
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- Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
- Ugur, Mehmet & Solomon, Edna & Guidi, Francesco & Trushin, Eshref, 2015. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," EconStor Preprints 109962, ZBW - Leibniz Information Centre for Economics.
- Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: a hierarchical meta-regression analysis," Greenwich Papers in Political Economy 15854, University of Greenwich, Greenwich Political Economy Research Centre.
- Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2015. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," MPRA Paper 68008, University Library of Munich, Germany, revised 16 Sep 2015.
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More about this item
Keywords
R&D; knowledge capital; productivity; meta-analysis;All these keywords.
JEL classification:
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
- O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
Statistics
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