IDEAS home Printed from https://ideas.repec.org/a/oup/qjecon/v135y2020i4p2187-2253..html
   My bibliography  Save this article

Distortions in Production Networks

Author

Listed:
  • Saki Bigio
  • Jennifer La’O

Abstract

How does an economy’s production structure determine its macroeconomic response to sectoral distortions? We study a static, multisector framework in which production is organized in an input-output network and production decisions are distorted. Sectoral distortions manifest at the aggregate level via two channels: total factor productivity (TFP) and the labor wedge. We show that near efficiency, distortions have zero first-order effects on TFP and nonzero first-order effects on the labor wedge, and that a sufficient statistic for the latter are the Domar weights. We thereby provide a Hulten-like theorem for the aggregate effects of sectoral distortions. A quantitative application of the model to the 2008–09 financial crisis suggests that the U.S. input-output structure amplified financial distortions by roughly a factor of two during the crisis.

Suggested Citation

  • Saki Bigio & Jennifer La’O, 2020. "Distortions in Production Networks," The Quarterly Journal of Economics, Oxford University Press, vol. 135(4), pages 2187-2253.
  • Handle: RePEc:oup:qjecon:v:135:y:2020:i:4:p:2187-2253.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/qje/qjaa018
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    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. Saki Bigio, 2015. "Endogenous Liquidity and the Business Cycle," American Economic Review, American Economic Association, vol. 105(6), pages 1883-1927, June.
    3. Enghin Atalay, 2017. "How Important Are Sectoral Shocks?," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 254-280, October.
    4. Christoph E. Boehm & Aaron Flaaen & Nitya Pandalai-Nayar, 2019. "Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tōhoku Earthquake," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 60-75, March.
    5. Loukas Karabarbounis, 2014. "The Labor Wedge: MRS vs. MPN," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 206-223, April.
    6. Shaowen Luo, 2020. "Propagation of Financial Shocks in an Input-Output Economy with Trade and Financial Linkages of Firms," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 246-269, April.
    7. Zetlin-Jones, Ariel & Shourideh, Ali, 2017. "External financing and the role of financial frictions over the business cycle: Measurement and theory," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 1-15.
    8. David Rezza Baqaee, 2018. "Cascading Failures in Production Networks," Econometrica, Econometric Society, vol. 86(5), pages 1819-1838, September.
    9. Dupor, Bill, 1999. "Aggregation and irrelevance in multi-sector models," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 391-409, April.
    10. Ezra Oberfield, 2011. "Business networks, production chains and productivity: A theory of input-output architecture," Working Paper Series WP-2011-12, Federal Reserve Bank of Chicago.
    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. Saki Bigio, 2013. "Financial Frictions in Production Networks," 2013 Meeting Papers 121, Society for Economic Dynamics.
    2. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
    3. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    4. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, Oxford University Press, vol. 136(2), pages 1255-1321.
    5. Engin L. Altinoglu, 2018. "The Origins of Aggregate Fluctuations in a Credit Network Economy," Finance and Economics Discussion Series 2018-031, Board of Governors of the Federal Reserve System (U.S.).
    6. 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.
    7. Levent Altinoglu, 2018. "The Origins of Aggregate Fluctuations in a Credit Network Economy," 2018 Meeting Papers 626, Society for Economic Dynamics.
    8. Yoshiyuki ARATA & Daisuke MIYAKAWA, 2021. "The Size of Micro-originated Aggregate Fluctuations: An analysis of firm-level input-output linkages in Japan," Discussion papers 21066, Research Institute of Economy, Trade and Industry (RIETI).
    9. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    10. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
    11. Altinoglu, Levent, 2021. "The origins of aggregate fluctuations in a credit network economy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 316-334.
    12. 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.
    13. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
    14. Kristina Barauskaite & Anh Dinh Minh Nguyen, 2021. "Direct and network effects of idiosyncratic TFP shocks," Empirical Economics, Springer, vol. 60(6), pages 2765-2793, June.
    15. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.
    16. Emmanuel Dhyne & Glenn Magerman & Ayumu Ken kikkawa, 2019. "Imperfect Competition in Firm-to-Firm Trade," Working Papers ECARES 2019-05, ULB -- Universite Libre de Bruxelles.
    17. 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.
    18. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," Working Papers BAWP-2019-06, University of Sydney Business School, Discipline of Business Analytics.
    19. Hsuan-Li Su, 2019. "Financial Frictions, Capital Misallocation, and Input-Output Linkages," 2019 Meeting Papers 978, Society for Economic Dynamics.
    20. Frank Smets & Joris Tielens & Jan Van Hove, 2018. "Pipeline Pressures and Sectoral Inflation Dynamics," Working Paper Research 351, National Bank of Belgium.

    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:oup:qjecon:v:135:y:2020:i:4:p:2187-2253.. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    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: Oxford University Press or Christopher F. Baum (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.