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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. 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.
    2. 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).
    3. William R. Kerr & Frederic Robert-Nicoud, 2020. "Tech Clusters," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 50-76, Summer.
    4. 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.
    5. 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.
    6. Andrews, Michael J. & Whalley, Alexander, 2022. "150 years of the geography of innovation," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    7. Michaël Bikard, 2020. "Idea twins: Simultaneous discoveries as a research tool," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1528-1543, August.
    8. 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).
    9. 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-KNM: Knowledge Management and Knowledge Economy (1) 2018-01-08. Author is listed
  7. NEP-URE: Urban and Real Estate Economics (1) 2018-01-08. Author is listed

Corrections

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