Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/310446 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
Discussion Papers No. 1020
Verlag: 
Statistics Norway, Research Department, Oslo
Zusammenfassung: 
What difference does government support of business R&D make to the rate of innovation? Addressing this important question has deep theoretical roots and broadening practical applications in OECD countries. The analysis of output additionality has been hampered by incomplete data combined with adaption of problematic methodologies. In this light, we contribute to the formative literature in three main ways: we analyze comprehensive panel data of Norwegian enterprises over a 20-year period; we include trademarks and industrial designs as well as patents to broaden measures of innovation output; and we apply machine learning methods to estimate treatment effect functions, thereby addressing the problem of a practically unlimited number of potential confounding factors. Our findings support and elaborate earlier work that fiscal stimulus tends to have greatest impact on previously non-innovative firms. The impact of support measures, alone or in combination, is on the extensive rather than intensive margin. For previously R&D-active firms, our results indicate that public support has low additionality and even risks crowding-out private financing of R&D.
Schlagwörter: 
Innovation
R&D support
Output additionality
Intellectual property rights
Patents
Trademarks
Public policy instruments
Lasso
Double selection
Poisson regression
JEL: 
C33
C52
O31
O34
O38
Dokumentart: 
Working Paper

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