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What makes econometric ideas popular: The role of connectivity

Author

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  • Candelon, Bertrand
  • Joëts, Marc
  • Mignon, Valérie

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 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

  • Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2024. "What makes econometric ideas popular: The role of connectivity," Research Policy, Elsevier, vol. 53(7).
  • Handle: RePEc:eee:respol:v:53:y:2024:i:7:s004873332400074x
    DOI: 10.1016/j.respol.2024.105025
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    1. 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.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107014169.
    3. 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.
    4. Koenig, Michael & Hsieh, Chih-Sheng & Liu, Xiaodong & Zimmermann, Christian, 2018. "Superstar Economists: Coauthorship networks and research output," CEPR Discussion Papers 13239, C.E.P.R. Discussion Papers.
    5. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    12. 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.
    13. 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.
    14. 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.
    15. Trapido, Denis, 2015. "How novelty in knowledge earns recognition: The role of consistent identities," Research Policy, Elsevier, vol. 44(8), pages 1488-1500.
    16. 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.
    17. 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.
    18. Cliff Nowell & Therese Grijalva, 2011. "Trends in co-authorship in economics since 1985," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4369-4375.
    19. 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.
    20. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    21. repec:ipg:wpaper:2014-044 is not listed on IDEAS
    22. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    23. 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.
    24. 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.
    25. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    32. 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.
    33. 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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