IDEAS home Printed from https://ideas.repec.org/a/bpj/econoa/v19y2025i1p26n1002.html
   My bibliography  Save this article

Collaboration Dynamics in Legislative Co-Sponsorship Networks: Evidence from Korea

Author

Listed:
  • Kim Sunjin

    (College of Tropical Agriculture and Human Resilience, University of Hawaii at Mānoa, Honolulu, United States of America)

  • Ryu Doojin

    (Department of Economics, Sungkyunkwan University, 25-2, Sungkyunkwan-ro, Jongno-gu, Seoul, 03063, Korea)

  • Song Chang Geun

    (Department of Economic and Social Research, Seongnam Research Institute, Seongnam, Korea)

Abstract

We examine the factors shaping the formation of dynamic legislative co-sponsorship networks using unique data from the 20th Korean National Assembly. By employing dynamic probit, Poisson regression, and log-linear models, we explore the drivers of collaboration among lawmakers. Korea’s mandatory co-sponsorship requirements provide extensive data, enabling the analysis of dynamic network formation and path dependencies. Path dependence significantly influences co-sponsorship networks, attenuates partisan effects, and exerts a stronger impact across than within parties. Lawmakers are more likely to co-sponsor bills when they share legislative interests such as representing the same region and serving on the same committee.

Suggested Citation

  • Kim Sunjin & Ryu Doojin & Song Chang Geun, 2025. "Collaboration Dynamics in Legislative Co-Sponsorship Networks: Evidence from Korea," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 19(1), pages 1-26.
  • Handle: RePEc:bpj:econoa:v:19:y:2025:i:1:p:26:n:1002
    DOI: 10.1515/econ-2025-0142
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/econ-2025-0142
    Download Restriction: no

    File URL: https://libkey.io/10.1515/econ-2025-0142?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
    3. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    4. Joshi, Sumit & Mahmud, Ahmed Saber & Sarangi, Sudipta, 2020. "Network formation with multigraphs and strategic complementarities," Journal of Economic Theory, Elsevier, vol. 188(C).
    5. Watts, Alison, 2001. "A Dynamic Model of Network Formation," Games and Economic Behavior, Elsevier, vol. 34(2), pages 331-341, February.
    6. Fowler, James H., 2006. "Connecting the Congress: A Study of Cosponsorship Networks," Political Analysis, Cambridge University Press, vol. 14(4), pages 456-487, October.
    7. Lewis, Jeffrey B. & Poole, Keith T., 2004. "Measuring Bias and Uncertainty in Ideal Point Estimates via the Parametric Bootstrap," Political Analysis, Cambridge University Press, vol. 12(2), pages 105-127, April.
    8. Lauren Cohen & Christopher J. Malloy, 2014. "Friends in High Places," American Economic Journal: Economic Policy, American Economic Association, vol. 6(3), pages 63-91, August.
    9. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.
    2. Bayer, Péter & Guerdjikova, Ani, 2024. "Optimism leads to optimality: Ambiguity in network formation," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    3. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    4. Yangbo Song & Mihaela Schaar, 2020. "Dynamic network formation with foresighted agents," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(2), pages 345-384, June.
    5. repec:hal:wpaper:hal-03005107 is not listed on IDEAS
    6. Beal, Sylvain & Querou, Nicolas, 2007. "Bounded rationality and repeated network formation," Mathematical Social Sciences, Elsevier, vol. 54(1), pages 71-89, July.
    7. Page, Frank Jr. & Wooders, Myrna H. & Kamat, Samir, 2005. "Networks and farsighted stability," Journal of Economic Theory, Elsevier, vol. 120(2), pages 257-269, February.
    8. Marco Mantovani & Georg Kirchsteiger & Ana Mauleon & Vincent Vannetelbosch, 2011. "Myopic or Farsighted? An Experiment on Network Formation," Working Papers 2011.45, Fondazione Eni Enrico Mattei.
    9. Frank H. Page & Myrna H. Wooders, 2009. "Endogenous Network Dynamics," Working Papers 2009.28, Fondazione Eni Enrico Mattei.
    10. AJ Bostian & David Goldbaum, 2016. "Emergent Coordination among Competitors," Working Paper Series 36, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Kai Suelzle, 2005. "Stable and Efficient Electronic Business Networks: Key Players and the Dilemma of Peripheral Firms," Working Papers 05-21, NET Institute, revised Oct 2005.
    12. Feri, Francesco, 2007. "Stochastic stability in networks with decay," Journal of Economic Theory, Elsevier, vol. 135(1), pages 442-457, July.
    13. Hellmann, Tim & Staudigl, Mathias, 2014. "Evolution of social networks," European Journal of Operational Research, Elsevier, vol. 234(3), pages 583-596.
    14. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
    15. Phillip Monin & Richard Bookstaber, 2017. "Information Flows, the Accuracy of Opinions, and Crashes in a Dynamic Network," Staff Discussion Papers 17-01, Office of Financial Research, US Department of the Treasury.
    16. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
    17. Jeong-Yoo Kim & Hang-Hyun Jo, 2010. "A signalling explanation for preferential attachment in the evolution of social networks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 375-393, June.
    18. Ping Sun & Elena Parilina, 2024. "Stable and efficient networks with neighborhood‐influenced externalities," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 26(3), June.
    19. Kirchsteiger, Georg & Mantovani, Marco & Mauleon, Ana & Vannetelbosch, Vincent, 2016. "Limited farsightedness in network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 97-120.
    20. Joshi, Sumit & Mahmud, Ahmed Saber & Sarangi, Sudipta, 2020. "Network formation with multigraphs and strategic complementarities," Journal of Economic Theory, Elsevier, vol. 188(C).
    21. Marco Battaglini & Forrest W. Crawford & Eleonora Patacchini & Sida Peng, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," NBER Working Papers 27557, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    co-sponsorship network; dynamic network formation; legislative process; partisan effect; path dependence;
    All these keywords.

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:econoa:v:19:y:2025:i:1:p:26:n:1002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.