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Nicholas Reynolds

Personal Details

First Name:Nicholas
Middle Name:
Last Name:Reynolds
Suffix:
RePEc Short-ID:pre685
[This author has chosen not to make the email address public]
https://www.nicholas-reynolds.com/

Affiliation

Economics Department
University of Essex

Colchester, United Kingdom
https://www.essex.ac.uk/departments/economics
RePEc:edi:edessuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ina Ganguli & Jeffrey Lin & Vitaly Meursault & Nicholas F. Reynolds, 2024. "Patent Text and Long-Run Innovation Dynamics: The Critical Role of Model Selection," NBER Working Papers 32934, National Bureau of Economic Research, Inc.
  2. Ina Ganguli & Jeffrey Lin & Nicholas Reynolds, 2017. "The Paper Trail of Knowledge Spillovers: Evidence from Patent Interferences [REVISED]," Working Papers 17-44, Federal Reserve Bank of Philadelphia.

Articles

  1. Ina Ganguli & Jeffrey Lin & Nicholas Reynolds, 2020. "The Paper Trail of Knowledge Spillovers: Evidence from Patent Interferences," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 278-302, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Ina Ganguli & Jeffrey Lin & Nicholas Reynolds, 2017. "The Paper Trail of Knowledge Spillovers: Evidence from Patent Interferences [REVISED]," Working Papers 17-44, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Sijie Feng, 2020. "The proximity of ideas: An analysis of patent text using machine learning," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-19, July.

Articles

  1. Ina Ganguli & Jeffrey Lin & Nicholas Reynolds, 2020. "The Paper Trail of Knowledge Spillovers: Evidence from Patent Interferences," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 278-302, April.

    Cited by:

    1. Andrews, Michael J. & Whalley, Alexander, 2022. "150 years of the geography of innovation," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    2. Robert-Nicoud, Frédéric & Kerr, William, 2019. "Tech Clusters," CEPR Discussion Papers 14143, C.E.P.R. Discussion Papers.
    3. Michaël Bikard, 2020. "Idea twins: Simultaneous discoveries as a research tool," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1528-1543, August.
    4. Su, Yaqin & Hua, Yue & Deng, Lanfang, 2021. "Agglomeration of human capital: Evidence from city choice of online job seekers in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    5. Michael J. Andrews, 2020. "Local Effects of Land Grant Colleges on Agricultural Innovation and Output," NBER Chapters, in: Economics of Research and Innovation in Agriculture, pages 139-175, National Bureau of Economic Research, Inc.
    6. Chattergoon, B. & Kerr, W.R., 2022. "Winner takes all? Tech clusters, population centers, and the spatial transformation of U.S. invention," Research Policy, Elsevier, vol. 51(2).
    7. Jennifer Hunt & Iain M. Cockburn & James Bessen, 2024. "Is Distance from Innovation a Barrier to the Adoption of Artificial Intelligence?," NBER Working Papers 33022, National Bureau of Economic Research, Inc.
    8. Sabrina Di Addario & Zhexin Feng & Michel Serafinelli, 2024. "Inventors’ Coworker Networks and Innovation," CESifo Working Paper Series 11432, CESifo.
    9. Enrico Berkes & Olivier Deschenes & Ruben Gaetani & Jeffrey Lin & Christopher Severen, 2020. "Lockdowns and Innovation: Evidence from the 1918 Flu Pandemic," NBER Working Papers 28152, National Bureau of Economic Research, Inc.
    10. Sugam Agarwal & Smruti Ranjan Behera, 2022. "Geographical concentration of knowledge and technology-intensive industries in India: empirical evidence from establishment-level analysis," Indian Economic Review, Springer, vol. 57(2), pages 513-552, December.
    11. Di Addario, Sabrina & Feng, Zhexin & Serafinelli, Michel, 2024. "Inventors' Coworker Networks and Innovation," IZA Discussion Papers 17398, Institute of Labor Economics (IZA).
    12. Raquel Ortega-Argilés & Pei-Yu Yuan, 2024. "Do UK Research and Collaborations in R&I Promote Economic Prosperity and Levelling-up? An analysis of UKRI funding between 2004-2021," Working Papers 046, The Productivity Institute.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-INO: Innovation (2) 2018-01-08 2024-10-07. Author is listed
  2. NEP-IPR: Intellectual Property Rights (2) 2018-01-08 2024-10-07. Author is listed
  3. NEP-TID: Technology and Industrial Dynamics (2) 2018-01-08 2024-10-07. Author is listed
  4. NEP-BIG: Big Data (1) 2024-10-07. Author is listed
  5. NEP-GEO: Economic Geography (1) 2018-01-08. Author is listed
  6. NEP-GRO: Economic Growth (1) 2024-10-07. Author is listed
  7. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2018-01-08. Author is listed
  8. NEP-URE: Urban and Real Estate Economics (1) 2018-01-08. Author is listed

Corrections

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