Beggar Thy Neighbor? The In-State, Out-of-State, and Aggregate Effects of R&D Tax Credits
By Daniel J. Wilson. Review of Economics and Statistics, 2007
376 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/ef5054e092df941852c0227d5f56dd63f7a54bf7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Fulvio Castellacci
- Pierre Mohnen
- Boris Lokshin
- John Van Reenen
- Ufuk Akcigit
- Nicholas Bloom
- Bronwyn H Hall
- S. Ateş
Citations in the corpus
- A toolkit of policies to promote innovation (2019, background): “In the context of individual inventor mobility and personal tax rates, Moretti and Wilson (2017) find cross-state relocation within the United States, and Akcigit, Baslandze, and Stantcheva (2016) document a similar relocation pattern in an international dimension.”
- Knowledge Spillovers and Corporate Investment in Scientific Research (2021, methodology): “…the component, ρPit = (1−Dit) (1− τst) is considered. ρPit is further decomposed into federal and state components, where the state-level instrument is constructed using the estimates of statespecific R&D tax rates from Wilson (2009) and each firm’s distribution of patent inventors across states.”
- Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis (2017, background): “Input additionality is the extent to which a given amount of tax credits leads to an increase in a firm’s R&D expenditures, as compared to the situation in which a company does not receive any fiscal incentive (Wilson, 2009).”
- How effective are level-based R&D tax credits? Evidence from the Netherlands (2012, methodology): “These tests do not reject the assumption of homoscedasticity of the residuals in our models. literature vary widely depending on the data, the estimation method and perhaps the underlying tax incentive system (Hall and van Reenen, 2000; Wilson, 2007).”
- Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory (2019, background): “Another set of papers (e.g., Hall 1993; Bloom, Griffith, and Van Reenen 2002; Wilson 2009; and Hall and Van Reenen 2000) estimates the tax price elasticity of R&D spending and finds a value of unity, which corresponds to a quadratic cost function in our case.”
- What does it take for an R&D tax incentive policy to be effective? (2009, methodology): “In this respect Wilson (2005) estimates that firms are very receptive to variations in the within-state R&D tax incentives, but also almost to the same extent to variations in the best out-of-state R&D tax incentives, with a net aggregate effect close to 0.”
- Do corporate taxes hinder innovation (2017, neutral): “3 that such credits have a signi cant in uence on R&D investment (Mans eld, 1986; Ja e, 1986; Katz, 1986; Grossman and Helpman, 1991; Aghion and Howitt, 1992; Ja e, Trajtenberg, and Henderson, 1993; Bloom, Gri th, and Van Reenen, 2002; Wilson, 2009; Branstetter and Sakakibara, 2002; Rao, 2016).”
- The Relationship Between Global Value Chains and Productivity (2017, background): “locate innovation from one location to another, rather than increasing aggregate innovation (Wilson, 2009).”
- The local innovation spillovers of listed firms (2021, methodology): “The inherent limit of cross-sectional tests is that potentially, unobserved characteristics may be correlated with the variables used in the cross-section. For instance, CZs with a higher supply of college graduates might also differ in other dimensions such as investment opportunities which could a”
- Do R&D tax incentives work? Firm-level evidence from China (2017, methodology): “This approach is arguably better grounded in economic theory and has thus been widely used in previous studies (see Bloom et al., 2002; Rao, 2016; Wilson, 2009).”
- Can Innovation Help U.S. Manufacturing Firms Escape Import Competition from China? (2015, methodology): “This elasticity is in line with the estimates of Wilson (2009) and Bloom, Schankerman and Van Reenen (2013).”