What Happens When Firms Patent? New Evidence from U.S. Economic Census Data

By Natarajan Balasubramanian, Jagadeesh Sivadasan. Review of Economics and Statistics, 2009

187 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e0cb96fa0e311fcaae52e726d27c3644ad77f79c

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Citations in the corpus

Corporate Governance and Green Innovation (2016, unknown): “Next, we show that our results are robust also to restricting the analysis to manufacturing (column [8])—the sector that is viewed as the main source of toxic emissions and that also accounts for the majority of patenting activity (Scherer 1983; Balasubramanian and Sivadasan 2011)—or to extending th”
What Is a Patent Worth? Evidence from the U.S. Patent “Lottery” (2019, background): “17 Balasubramanian and Sivadasan (2011) are able to match 63.7% of patent assignees to firm names in the Census Bureau’s Business Register, often considered the “gold standard” for its coverage of the entire population of U.S. business establishments with paid employees filing taxes with the…”
Skilled Immigration and the Employment Structures of US Firms (2014, unknown): “[5] Balasubramanian, Natarajan, and Jagadeesh Sivadasan, "What Happens When Firms Patent? New Evidence from US Economic Census Data", Review of Economics and Statistics 93:1 (2011), 126-146.”
Credit Supply and Corporate Innovation (2013, background): “We exclude firms with negative or zero book value of assets and sales, and firms headquartered outside the US.5 As shown in Scherer (1983) and more recently in Balasubramanian and Sivadasan (2011), the bulk of patenting activity occurs within the manufacturing sector.”
The importance (or not) of patents to UK firms (2013, methodology): “Findings for the US are similar: Balasubramanian and Sivadasan (2011) find that only 5.5% of US manufacturing firms own a patent.”
Patent Boxes Design, Patents Location and Local R&D (2015, background): “US manufacturing firms own a patent (Balasubramanian and Sivadasan, 2011).”
The economic effects of density: A synthesis (2019, unknown): “To analyse the distribution of patent values, the literature uses patent renewal data (Pakes 1986), event studies (Austin 1993), inventor surveys (Giuri et al. 2007), and census data (Balasubramanian & Sivadasan 2010), typically facing a trade-off between representativeness and identification.”
The Geography of Complex Knowledge (2017, background): “…and Griliches (1990) provide early reviews of the use and abuse of patent data, it is now relatively well established that patents, as measures of innovation, are positively linked to firm valuations and future performance (Ernst 2001; Bloom and Van Reenen 2002; Balasubramanian and Sivadasan 2011).”