Access the full text.
Sign up today, get DeepDyve free for 14 days.
L. Törnqvist, Pentti Vartia, Yrjö Vartia (1985)
How Should Relative Changes be MeasuredThe American Statistician, 39
(2005)
E 1 1 Sectoral distribution of firms by patenting status, 2005 [Color figure can be viewed at wileyonlinelibrary.com
A. Jaffe, M. Trajtenberg (2002)
Patents, Citations, and Innovations: A Window on the Knowledge Economy
N. Balasubramanian, Jagadeesh Sivadasan (2010)
NBER Patent Data-BR Bridge: User Guide and Technical DocumentationIO: Productivity
These come from our manual matches
Randy Becker, J. Haltiwanger, Ron Jarmin, Shawn Klimek, Daniel Wilson (2005)
Micro and Macro Data Integration: The Case of Capital
U.S. firm name" if it ever has a U.S. state in the patent data
We plan to explore the heterogeneity in patent portfolios, technologies, and firm characteristics in future work
If the assignee state field contains no characters in the patent assignee data downloaded from Google, the assignee is classified as a foreign assignee
Wesley Cohen (2010)
Fifty Years of Empirical Studies of Innovative Activity and Performance, 1
(2012)
Bridge Files Between Establishments in the on the LEHD-ECF and Census
G. Thoma, S. Torrisi, A. Gambardella, D. Guellec, Bronwyn Hall, D. Harhoff (2010)
Harmonizing and Combining Large Datasets - an Application to Firm-Level Patent and Accounting DataEntrepreneurship & Law eJournal
Z. Acs, D. Audretsch (1988)
Innovation in Large and Small Firms: An Empirical AnalysisThe American Economic Review, 78
For example, consider a firm where the headquarter is in the patent assignee state and the research is taking place in an establishment of the firm located in another state
We allow matches outside of the 5-year window for cases resulting from LEHD data only. These matches are made at time of application
L. Hesselman (2003)
Patents, Citations and Innovations: A window on the knowledge economy, Jaffee, A.B. and Trajtenberg, M.
S. Davis, J. Haltiwanger, Ron Jarmin, Javier Miranda (2006)
Volatility and Dispersion in Business Growth Rates: Publicly Traded Versus Privately Held FirmsERN: Market Structure (Topic)
M. Eberhardt, C. Helmers, Zhihong Yu (2011)
Is the Dragon Learning to Fly? An Analysis of the Chinese Patent ExplosionIRPN: Innovation & Development Economics (Topic)
D. Wagner, M. Lane (2014)
The Person Identification Validation System (PVS): Applying the Center for Administrative Records Research and Applications’ (CARRA) Record Linkage Software
We note that there are complex issues around the transfer of the ownership of patents after the patent has been granted. We simply note these issues here
Stuart Graham, Alan Marco, Amanda Myers (2015)
Patent Transactions in the Marketplace: Lessons from the USPTO Patent Assignment DatasetIRPN: Intellectual Property (Including GPL
(2014)
A Patent Classification System for the Business Dynamics Statistics
(2002)
The NBER patent citations data file: Lessons, insights and methodological tools
(2000)
Figure 3. Match Rates by Grant Year
Foreign firm names are also in a variety of different languages and the version of SAS DQMatch we use when matching U.S. firm names is optimized for English
W. Kerr, Shihe Fu (2008)
The survey of industrial R&D—patent database link projectThe Journal of Technology Transfer, 33
(2008)
E 1 3 Gross job creation and destruction rates by patenting status and firm employment, average 2005–2008
A match is a BR and LEHD match if match_flag = {A1, A2, A3}; a BR only match if match_flag = {B1, B2}; an LEHD only match if match_flag = {C1, C2, C3}; another match if match_flag = {D1
Ron Jarmin, Javier Miranda (2002)
The Longitudinal Business DatabaseEconometrics: Data Collection & Data Estimation Methodology eJournal
This is all patent-assignee combinations with an assignee organization name. Some patents have multiple assignees
D. Andrews, Chiara Criscuolo, C. Menon (2014)
Do Resources Flow to Patenting Firms?: Cross-Country Evidence from Firm Level Data
(2000)
The average of 35 months for a patent to be granted in our sample is based on the authors' calculations from the sample of patents granted from
Randy Becker, J. Haltiwanger, Ron Jarmin, Shawn Klimek, Daniel Wilson (2006)
Micro and Macro Data Integration
(2013)
Larger growth among young patenting firms is consistent with results
L. Vilhuber, Kevin McKinney (2014)
LEHD Data Documentation Lehd-Overview-S2011: LEHD Infrastructure Files in the Census RDC – OverviewU.S. Census Bureau Center for Economic Studies Research Paper Series
(2002)
and Manuel Trajtenberg
N. Balasubramanian, Jagadeesh Sivadasan (2009)
What Happens When Firms Patent? New Evidence from U.S. Economic Census DataThe Review of Economics and Statistics, 93
Wholesale activities might be linked to factory-less manufacturing goods producers or alternatively manufacturing firms with some associated wholesale activity
(2008)
Business Files for 2008 LEHD Snapshot.
Typical matching exercises rely on a single match thus requiring a careful simultaneous balance of Type I and Type II errors in a single step
Daron Acemoglu, Ufuk Akcigit, N. Bloom, W. Kerr (2002)
Discussion Papers
Ryan Decker, J. Haltiwanger, Ron Jarmin, Javier Miranda (2015)
Where Has All the Skewness Gone? The Decline in High-Growth (Young) Firms in the U.SERPN: Other Firm (Sub-Topic)
J. Haltiwanger, Ron Jarmin, Javier Miranda (2013)
Who Creates Jobs? Small versus Large versus YoungReview of Economics and Statistics, 95
Errors from the foreign sample are of the B1-B2 match type. All patents analyzed with match types A1-A3 and B1-B2 in the domestic sample are correct
C. Helmers, M. Rogers (2011)
Intellectual Property at the Firm-Level in the UK: The Oxford Firm-Level Intellectual Property Database
S. Davis, J. Haltiwanger, Scott Schuh (1997)
Job Creation and Destruction
Mihaela-Carmen Muntean, C. Nistor, L. Manea (2009)
The Knowledge EconomyEconomics and Applied Informatics
Percent of Firms B. Percent of Patents Source: Authors' calculations on the Patent-LBD crosswalk file
(2005)
Figure 7. Percent of Firms Assigned a Patent by Firm Size
(2018)
Business dynamics of innovating firms: Linking U.S. patents with administrative data on workers and firms
we allow a 5-year window when matching patents to BR firm identifiers (t−2 to t+2)
This figure includes all patent-assignee-firm identifier combinations in the Patent-LBD crosswalk file with assignee state in the U.S. (50 states plus District of Columbia)
(2011)
The later find that patenting firms account for 52% of all employment in the manufacturing sector
Source: Authors' calculations on the Patent-LBD crosswalk file. This figure includes all patent-assignee firm identifier combinations in the Patent-LBD crosswalk file
This paper discusses the construction of a new longitudinal database tracking inventors and patent‐owning firms over time. We match granted patents between 2000 and 2011 to administrative databases of firms and workers housed at the U.S. Census Bureau. We use inventor information in addition to the patent assignee firm name to improve on previous efforts linking patents to firms. The triangulated database allows us to maximize match rates and provide validation for a large fraction of matches. In this paper, we describe the construction of the database and explore basic features of the data. We find patenting firms, particularly young patenting firms, disproportionally contribute jobs to the U.S. economy. We find that patenting is a relatively rare event among small firms but that most patenting firms are nevertheless small, and that patenting is not as rare an event for the youngest firms compared to the oldest firms. Although manufacturing firms are more likely to patent than firms in other sectors, we find that most patenting firms are in the services and wholesale sectors. These new data are a product of collaboration within the U.S. Department of Commerce, between the U.S. Census Bureau and the U.S. Patent and Trademark Office.
Journal of Economics & Management Strategy – Wiley
Published: Jan 1, 2018
Keywords: ; ;
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.