2014
DOI: 10.2139/ssrn.2544604
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Impact of Research Tax Credit on R&D and Innovation: Evidence from the 2008 French Reform

Abstract: * We would like to thank the participants of the 2013 Concordi conference (in Sévilla, Spain), of the internal seminar at the Banque de France, of the AFSE conference held in Lyon in June 2014, and of the ECOMOD conference held in Bali in July 2014 for their useful comments and suggestions. All remaining errors are ours. We would also like to thank the French Ministry of Higher Education and Research for giving us access to confidential data and organizing regular meeting on research tax credit evaluation.

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Cited by 36 publications
(25 citation statements)
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“…Comparable results were found by other authors who conducted similar empirical analyses employing data on different countries and years of observation, such as Klassen et al (2004), Haegeland and Moen (2007), Lee (2011), Yang et al (2012, Kasahara et al (2014), Bozio et al (2014), and Kobayashi (2014). In addition, the effects found in the earlier and more recent studies are of around the same magnitude.…”
Section: Evaluation Of a Treatment Effectsupporting
confidence: 73%
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“…Comparable results were found by other authors who conducted similar empirical analyses employing data on different countries and years of observation, such as Klassen et al (2004), Haegeland and Moen (2007), Lee (2011), Yang et al (2012, Kasahara et al (2014), Bozio et al (2014), and Kobayashi (2014). In addition, the effects found in the earlier and more recent studies are of around the same magnitude.…”
Section: Evaluation Of a Treatment Effectsupporting
confidence: 73%
“…However, many of the earlier studies in this area disregard the problem of a selection bias, according to which the recipients of R&D tax credits or super-deductions might systematically differ from the non-recipients. For this reason, recent studies such as Yang et al (2012), Bozio et al (2014), Kobayashi (2014), Guceri (2017) have estimated the effect of R&D tax incentives after meticulously correcting a possible selection bias using the propensity score matching (PSM) technique. This strategy helps to identify comparable companies and to classify and divide them into treatment and control groups.…”
Section: Evaluation Of a Treatment Effectmentioning
confidence: 99%
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“…First, the estimates combine the intensive margin (increase in R&D intensity for R&D performing firms) and the extensive margin (increase in the number of R&D performing firms). On the extensive margin more firms have decided to start doing R&D especially in the year of the 2008 reform of the R&D tax credit (Bozio et al, 2014). To enter the R&D game firms need to incur sunk costs in addition to the fixed and variable costs of R&D. Arqué-Castells and Mohnen (2015) estimate these sunk costs to be as large as 1% of total sales and to be higher for small firms than for large firms.…”
Section: Discussion Of the Resultsmentioning
confidence: 99%
“…Wariantem tym posługiwano się np. we Francji w latach 1983-2004[Bonzio, Irac, Py, 2014. Nierzadko można również spotkać formułę mieszaną opartą na połączeniu dwóch wcześniejszych konstrukcji.…”
Section: Rodzaj Oddziaływania Efekt Substytucji Efekt Wypychania Efekunclassified