IDEAS home Printed from https://ideas.repec.org/p/cfi/fseres/cf389.html
   My bibliography  Save this paper

The gradual evolution of buyer-seller networks and their role in aggregate fluctuations

Author

Listed:
  • Ryohei Hisano

    (The University of Tokyo)

  • Tsutomu Watanabe

    (The University of Tokyo)

  • Takayuki Mizuno

    (National Institute of Informatics)

  • Takaaki Ohnishi

    (The University of Tokyo)

  • Didier Sornette

    (Swiss Federal Institute of Technology)

Abstract

Buyer-seller relationships among firms can be regarded as a longi- tudinal network in which the connectivity pattern evolves as each firm receives productivity shocks. Based on a data set describing the evolu- tion of buyer-seller links among 55,608 firms over a decade and structural equation modeling, we find some evidence that interfirm networks evolve reflecting a firm's local decisions to mitigate adverse effects from neigh- bor firms through interfirm linkage, while enjoying positive effects from them. As a result, link renewal tends to have a positive impact on the growth rates of firms. We also investigate the role of networks in aggregate fluctuations.

Suggested Citation

  • Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2016. "The gradual evolution of buyer-seller networks and their role in aggregate fluctuations," CARF F-Series CARF-F-389, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    • Handle: RePEc:cfi:fseres:cf389
    as

    Download full text from publisher

    File URL: https://www.carf.e.u-tokyo.ac.jp/old/pdf/workingpaper/fseries/F389.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    2. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    3. Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.
    4. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    5. Nadezhda Malysheva & Pierre-Daniel G. Sarte, 2011. "Sectoral disturbances and aggregate economic activity," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(2Q), pages 153-173.
    6. Pavel N. Krivitsky & Mark S. Handcock, 2014. "A separable model for dynamic networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 29-46, January.
    7. Angelo Mele, 2010. "A structural model of segregation in social networks," CeMMAP working papers CWP32/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    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. Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2015. "The gradual evolution of buyer--seller networks and their role in aggregate fluctuations," Papers 1506.00236, arXiv.org, revised Aug 2016.
    2. Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2016. "The gradual evolution of buyer-seller networks and their role in aggregate fluctuations," UTokyo Price Project Working Paper Series 068, University of Tokyo, Graduate School of Economics.
    3. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Erik Frohm & Vanessa Gunnella, 2021. "Spillovers in global production networks," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 663-680, August.
    5. Lorenzo Burlon, 2015. "Ownership networks and aggregate volatility," Temi di discussione (Economic working papers) 1004, Bank of Italy, Economic Research and International Relations Area.
    6. Kim, Daisoon, 2021. "Economies of scale and international business cycles," Journal of International Economics, Elsevier, vol. 131(C).
    7. Julian Di Giovanni & Galina Hale, 2022. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," Journal of Finance, American Finance Association, vol. 77(6), pages 3373-3421, December.
    8. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Networks, Shocks, and Systemic Risk," NBER Working Papers 20931, National Bureau of Economic Research, Inc.
    9. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    10. Frohm, Erik & Gunnella, Vanessa, 2017. "Sectoral interlinkages in global value chains: spillovers and network effects," Working Paper Series 2064, European Central Bank.
    11. Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2017. "Price Rigidities and the Granular Origins of Aggregate Fluctuations," CESifo Working Paper Series 6619, CESifo.
    12. Jennifer La'O & Alireza Tahbaz‐Salehi, 2022. "Optimal Monetary Policy in Production Networks," Econometrica, Econometric Society, vol. 90(3), pages 1295-1336, May.
    13. Glenn Magerman & Karolien De Bruyne & Emmanuel Dhyne & Jan Van Hove, 2016. "Heterogeneous Firms and the Micro Origins of Aggregate Fluctuations," Working Papers ECARES ECARES 2016-35, ULB -- Universite Libre de Bruxelles.
    14. Kristina Barauskaite & Anh D. M. Nguyen, 2022. "Intersectoral network‐based channel of aggregate TFP shocks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3897-3910, October.
    15. Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
    16. Ernesto Pasten & Raphael Schoenle & Michael Weber, 2017. "Price Rigidity and the Origins of Aggregate Fluctuations," NBER Working Papers 23750, National Bureau of Economic Research, Inc.
    17. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    18. Xavier Gabaix, 2016. "Comment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 336-345.
    19. Pesaran, M. Hashem & Yang, Cynthia Fan, 2020. "Econometric analysis of production networks with dominant units," Journal of Econometrics, Elsevier, vol. 219(2), pages 507-541.
    20. Yukiko Saito & Makoto Nirei & Vasco Carvalho, 2014. "Supply Chain Disruptions: Evidence from Great East Japan Earthquake," 2014 Meeting Papers 595, Society for Economic Dynamics.

    More about this item

    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:cfi:fseres:cf389. 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/catokjp.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.