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What Makes Econometric Ideas Popular: The Role of Connectivity

Author

Listed:
  • Valérie Mignon

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Marc Joëts

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Bertrand Candelon

Abstract

This paper aims to identify the factors contributing to the diffusion of ideas in econometrics by paying particular attention to connectivity in content and social networks. Considering a sample of 17,260 research papers in econometrics over the 1980-2020 period, we rely on Structural Topic Models to extract and categorize topics relevant to key domains in the discipline. Using a hurdle count model, we show that both content and social connectivity among the authors (i.e., social connectivity) enhance the likelihood of non-zero citation counts and play a key role in shaping the diffusion of econometric ideas. We also find that high topic connectivity augmented by robust social connectivity among authors or authoring teams further enhances econometric ideas' diffusion success. Finally, our findings unveil an inverted U-shaped relationship between connectivity and the success of idea diffusion; the latter initially escalates but starts to wane upon reaching a certain threshold.

Suggested Citation

  • Valérie Mignon & Marc Joëts & Bertrand Candelon, 2023. "What Makes Econometric Ideas Popular: The Role of Connectivity," Working Papers hal-04343996, HAL.
  • Handle: RePEc:hal:wpaper:hal-04343996
    Note: View the original document on HAL open archive server: https://hal.science/hal-04343996
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    1. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2003. "A cast of thousands: Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(9), pages 855-871, July.
    2. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    3. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, September.
    4. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    5. Hsieh, Chih-Sheng & König, Michael D. & Liu, Xiaodong & Zimmermann, Christian, 2018. "Superstar Economists: Coauthorship Networks and Research Output," IZA Discussion Papers 11916, Institute of Labor Economics (IZA).
    6. Margaret Roberts & Brandon Stewart & Tingley, Dustin & Edoardo Airoldi, 2013. "The structural topic model and applied social science," Working Paper 132666, Harvard University OpenScholar.
    7. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    8. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2004. "Visible, less visible, and invisible work: Patterns of collaboration in 20th century chemistry," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(2), pages 160-168, January.
    9. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    10. Daniele Fanelli & Vincent Larivière, 2016. "Researchers’ Individual Publication Rate Has Not Increased in a Century," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-12, March.
    11. Deichmann, Dirk & Moser, Christine & Birkholz, Julie M. & Nerghes, Adina & Groenewegen, Peter & Wang, Shenghui, 2020. "Ideas with impact: How connectivity shapes idea diffusion," Research Policy, Elsevier, vol. 49(1).
    12. Seierstad, Cathrine & Opsahl, Tore, 2011. "For the few not the many? The effects of affirmative action on presence, prominence, and social capital of women directors in Norway," Scandinavian Journal of Management, Elsevier, vol. 27(1), pages 44-54, March.
    13. Valérie Mignon & Celso Brunetti & Marc Joëts, 2023. "Reasons Behind Words: OPEC Narratives and the Oil Market," EconomiX Working Papers 2023-24, University of Paris Nanterre, EconomiX.
    14. Nikias Sarafoglou & Jean Paelinck, 2008. "On diffusion of ideas in the academic world: the case of spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 487-500, June.
    15. W. Glänzel & A. Schubert & H. -J. Czerwon, 1999. "A bibliometric analysis of international scientific cooperation of the European Union (1985–1995)," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(2), pages 185-202, June.
    16. Mike Thelwall & Kayvan Kousha & Mahshid Abdoli & Emma Stuart & Meiko Makita & Paul Wilson & Jonathan Levitt, 2023. "Why are coauthored academic articles more cited: Higher quality or larger audience?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 791-810, July.
    17. Chia-Lin Chang & Michael McAleer, 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometrics, MDPI, vol. 1(3), pages 1-19, November.
    18. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    19. Hansen, Stephen & McMahon, Michael, 2016. "Shocking language: Understanding the macroeconomic effects of central bank communication," Journal of International Economics, Elsevier, vol. 99(S1), pages 114-133.
    20. James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
    21. Andrikopoulos, Andreas & Samitas, Aristeidis & Kostaris, Konstantinos, 2016. "Four decades of the Journal of Econometrics: Coauthorship patterns and networks," Journal of Econometrics, Elsevier, vol. 195(1), pages 23-32.
    22. Trapido, Denis, 2015. "How novelty in knowledge earns recognition: The role of consistent identities," Research Policy, Elsevier, vol. 44(8), pages 1488-1500.
    23. Wolfgang Glänzel & András Schubert, 2001. "Double effort = Double impact? A critical view at international co-authorship in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 199-214, February.
    24. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    25. Sanjeev Goyal & Marco J. van der Leij & José Luis Moraga-Gonzalez, 2006. "Economics: An Emerging Small World," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 403-432, April.
    26. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    27. Cliff Nowell & Therese Grijalva, 2011. "Trends in co-authorship in economics since 1985," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4369-4375.
    28. Lorenzo Ductor & Marcel Fafchamps & Sanjeev Goyal & Marco J. van der Leij, 2014. "Social Networks and Research Output," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 936-948, December.
    29. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    30. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 549-589.
    31. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    32. repec:ipg:wpaper:2014-044 is not listed on IDEAS
    33. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    34. Jielan Ding & Zhesi Shen & Per Ahlgren & Tobias Jeppsson & David Minguillo & Johan Lyhagen, 2021. "The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7759-7810, September.
    35. Dirk Deichmann & Michael Jensen, 2018. "I can do that alone…or not? How idea generators juggle between the pros and cons of teamwork," Strategic Management Journal, Wiley Blackwell, vol. 39(2), pages 458-475, February.
    36. Magerman, Tom & Looy, Bart Van & Debackere, Koenraad, 2015. "Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology," Research Policy, Elsevier, vol. 44(9), pages 1702-1713.
    37. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    38. Bertrand Candelon & Arnaud Dupuy, 2015. "Hierarchical Organization And Performance Inequality: Evidence From Professional Cycling," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1207-1236, November.
    39. Noriko Hara & Paul Solomon & Seung‐Lye Kim & Diane H. Sonnenwald, 2003. "An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(10), pages 952-965, August.
    40. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    41. Fragiskos Archontakis & Rocco Mosconi, 2021. "Søren Johansen and Katarina Juselius: A Bibliometric Analysis of Citations through Multivariate Bass Models," Econometrics, MDPI, vol. 9(3), pages 1-28, August.
    42. Hongquan Shen & Juan Xie & Jiang Li & Ying Cheng, 2021. "The correlation between scientific collaboration and citation count at the paper level: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3443-3470, April.
    43. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
    44. Olle Persson & Wolfgang Glänzel & Rickard Danell, 2004. "Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 421-432, August.
    45. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    46. Pengsheng Ji & Jiashun Jin & Zheng Tracy Ke & Wanshan Li, 2022. "Co-citation and Co-authorship Networks of Statisticians," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 469-485, April.
    47. Benjamin F. Jones, 2021. "The Rise of Research Teams: Benefits and Costs in Economics," Journal of Economic Perspectives, American Economic Association, vol. 35(2), pages 191-216, Spring.
    48. Lorenzo Ductor, 2015. "Does Co-authorship Lead to Higher Academic Productivity?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 385-407, June.
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    More about this item

    Keywords

    Connectivity; Idea diffusion; Econometric publications; Citations; Structural Topic Model; Hurdle count model.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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