[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22756.html
   My bibliography  Save this paper

Endogenous Network Formation in Congress

Author

Listed:
  • Nathan Canen
  • Francesco Trebbi
Abstract
This paper presents and structurally estimates a model of endogenous network formation and legislative activity of career-motivated politicians. Employing data on socialization and legislative effort of members of the 105th-110th U.S. Congresses, our model reconciles a set of empirical regularities, including: recent trends in Congressional productivity; the complementarity of socialization processes and legislative activities in the House of Representatives; substantial heterogeneity across legislators in terms of effort and success rate in passing specific legislation. We avoid taking the social structure of Congress as exogenously given and instead embed it in a model of endogenous network formation useful for developing relevant counterfactuals, including some pertinent to the congressional emergency response to the 2008-09 financial crisis. Our counterfactual analysis further demonstrates how to empirically identify the specific equilibrium at play within each Congress among the multiple equilibria typically present in this class of games.

Suggested Citation

  • Nathan Canen & Francesco Trebbi, 2016. "Endogenous Network Formation in Congress," NBER Working Papers 22756, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22756
    Note: POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22756.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eduardo Alemán & Ernesto Calvo, 2013. "Explaining Policy Ties in Presidential Congresses: A Network Analysis of Bill Initiation Data," Political Studies, Political Studies Association, vol. 61(2), pages 356-377, June.
    2. Yann Bramoull? & Rachel Kranton & Martin D'Amours, 2014. "Strategic Interaction and Networks," American Economic Review, American Economic Association, vol. 104(3), pages 898-930, March.
    3. Cabrales, Antonio & Calvó-Armengol, Antoni & Zenou, Yves, 2011. "Social interactions and spillovers," Games and Economic Behavior, Elsevier, vol. 72(2), pages 339-360, June.
    4. Bartels, Larry M., 1993. "Messages Received: The Political Impact of Media Exposure," American Political Science Review, Cambridge University Press, vol. 87(2), pages 267-285, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marco Battaglini & Eleonora Patacchini, 2018. "Influencing Connected Legislators," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2277-2322.
    2. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    3. Facundo Albornoz & Antonio Cabrales & Esther Hauk, 2019. "Occupational Choice with Endogenous Spillovers," The Economic Journal, Royal Economic Society, vol. 129(621), pages 1953-1970.
    4. Nikolaj Harmon & Raymond Fisman & Emir Kamenica, 2018. "Peer Effects in Legislative Voting," Boston University - Department of Economics - Working Papers Series dp-304, Boston University - Department of Economics.
    5. Nikolaj Harmon & Raymond Fisman & Emir Kamenica, 2019. "Peer Effects in Legislative Voting," American Economic Journal: Applied Economics, American Economic Association, vol. 11(4), pages 156-180, October.

    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. Boris van Leeuwen & Theo Offerman & Arthur Schram, 2020. "Competition for Status Creates Superstars: an Experiment on Public Good Provision and Network Formation," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 666-707.
    2. Yang Sun & Wei Zhao & Junjie Zhou, 2021. "Structural Interventions in Networks," Papers 2101.12420, arXiv.org, revised Feb 2021.
    3. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
    4. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    5. Ryan Kor & Junjie Zhou, 2022. "Welfare and Distributional Effects of Joint Intervention in Networks," Papers 2206.03863, arXiv.org.
    6. Hiller, Timo, 2017. "Peer effects in endogenous networks," Games and Economic Behavior, Elsevier, vol. 105(C), pages 349-367.
    7. Markus Kinateder & Luca Paolo Merlino, 2021. "The Evolution of Networks and Local Public Good Provision: A Potential Approach," Games, MDPI, vol. 12(3), pages 1-12, July.
    8. Ying Chen & Tom Lane & Stuart McDonald, 2023. "Endogenous Network Formation in Local Public Goods: An Experimental Analysis," Discussion Papers 2023-02, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    9. Alexis Poindron & Nizar Allouch, 2024. "A Model of Competing Gangs in Networks," Games, MDPI, vol. 15(2), pages 1-15, February.
    10. Li, Xueheng, 2023. "Designing weighted and directed networks under complementarities," Games and Economic Behavior, Elsevier, vol. 140(C), pages 556-574.
    11. Karan N. Chadha & Ankur A. Kulkarni, 2022. "On independent cliques and linear complementarity problems," Indian Journal of Pure and Applied Mathematics, Springer, vol. 53(4), pages 1036-1057, December.
    12. Arthur Schram & Boris Van Leeuwen & Theo Offerman, 2013. "Superstars Need Social Benefits: An Experiment on Network Formation," Working Papers 1306, Departament Empresa, Universitat Autònoma de Barcelona, revised Jul 2013.
    13. Allouch, Nizar, 2017. "The cost of segregation in (social) networks," Games and Economic Behavior, Elsevier, vol. 106(C), pages 329-342.
    14. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2011. "Criminal Networks: Who is the Key Player?," Research Papers in Economics 2011:7, Stockholm University, Department of Economics.
    15. Cabrales, Antonio & Calvó-Armengol, Antoni & Zenou, Yves, 2011. "Social interactions and spillovers," Games and Economic Behavior, Elsevier, vol. 72(2), pages 339-360, June.
    16. Sofia Priazhkina & Samuel Palmer & Pablo Martín-Ramiro & Román Orús & Samuel Mugel & Vladimir Skavysh, 2024. "Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm," Staff Working Papers 24-17, Bank of Canada.
    17. Baumann, Leonie, 2021. "A model of weighted network formation," Theoretical Economics, Econometric Society, vol. 16(1), January.
    18. Ugo Bolletta & Luca Paolo Merlino, 2022. "Marriage Through Friends," Dynamic Games and Applications, Springer, vol. 12(4), pages 1046-1066, December.
    19. Chen, Ying-Ju & Zenou, Yves & Zhou, Junjie, 2022. "The impact of network topology and market structure on pricing," Journal of Economic Theory, Elsevier, vol. 204(C).
    20. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.

    More about this item

    JEL classification:

    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:22756. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.