IDEAS home Printed from https://ideas.repec.org/p/qld/uq2004/608.html
   My bibliography  Save this paper

Flexibility and Frictions in Multisector Models

Author

Listed:

Abstract

Cross-sectoral heterogeneity in sectoral bond spreads is related to sectoral elasticities of substitution in production. During the Great Recession, more flexible firms paid lower sectoral bond spreads, generated higher revenues, and held more working capital. A model consistent with these facts— input-output linkages, working capital constraints, and heterogeneous elasticities—predicts that sectoral distortions during the Great Recession generated an efficiency wedge—due to input misallocation—2.4 times larger than one with homogeneous production functions. In addition, our model predicts input-output connections amplified the Great Recession 2.3 times as much as one with homogeneous elasticities.

Suggested Citation

  • Jorge Miranda-Pinto & Eric R. Young, 2019. "Flexibility and Frictions in Multisector Models," Discussion Papers Series 608, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uq2004:608
    as

    Download full text from publisher

    File URL: https://economics.uq.edu.au/files/46395/608.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Javier Bianchi, 2011. "Overborrowing and Systemic Externalities in the Business Cycle," American Economic Review, American Economic Association, vol. 101(7), pages 3400-3426, December.
    2. 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.
    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. David Rezza Baqaee & Emmanuel Farhi, 2020. "Productivity and Misallocation in General Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 105-163.
    6. Michael B Devereux & Karine Gente & Changhua Yu, 2023. "Production Networks And International Fiscal Spillovers," The Economic Journal, Royal Economic Society, vol. 133(653), pages 1871-1900.
    7. Sophie Osotimehin & Latchezar Popov, 2023. "Misallocation and Intersectoral linkages," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 177-198, December.
    8. Saki Bigio, 2013. "Financial Frictions in Production Networks," 2013 Meeting Papers 121, Society for Economic Dynamics.
    9. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    10. Benigno, Gianluca & Chen, Huigang & Otrok, Christopher & Rebucci, Alessandro & Young, Eric R., 2013. "Financial crises and macro-prudential policies," Journal of International Economics, Elsevier, vol. 89(2), pages 453-470.
    11. Alessandra Peter & Cian Ruane, 2019. "The Aggregate Importance of Intermediate Input Substitutability," 2019 Meeting Papers 1293, Society for Economic Dynamics.
    12. 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.
    13. repec:zbw:bofrdp:urn:nbn:fi:bof-201512101464 is not listed on IDEAS
    14. Miranda-Pinto, Jorge, 2018. "A note on optimal sectoral policies in production networks," Economics Letters, Elsevier, vol. 172(C), pages 152-156.
    15. Huiyu Li, 2015. "Leverage and Productivity," Discussion Papers 15-015, Stanford Institute for Economic Policy Research.
    16. repec:zbw:bofrdp:2015_025 is not listed on IDEAS
    17. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    18. Sophie Osotimehin & Latchezar Popov, 2018. "Misallocation and intersectoral linkages," 2018 Meeting Papers 561, Society for Economic Dynamics.
    19. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    20. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
    21. Charles I. Jones, 2011. "Intermediate Goods and Weak Links in the Theory of Economic Development," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 1-28, April.
    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. Jorge Miranda-Pinto & Gang Zhang, 2022. "Trade Credit and Sectoral Comovement during Recessions," Working Papers Central Bank of Chile 961, Central Bank of Chile.
    2. Benoit Julien & John Kennes & Ian King, "undated". "Quality Job Programs, Unemployment and the Job Quality Mix," MRG Discussion Paper Series 4721, School of Economics, University of Queensland, Australia.
    3. Miranda-Pinto, Jorge, 2018. "A note on optimal sectoral policies in production networks," Economics Letters, Elsevier, vol. 172(C), pages 152-156.
    4. Kame Babilla, Thierry U., 2023. "Digital innovation and financial access for small and medium-sized enterprises in a currency union," Economic Modelling, Elsevier, vol. 120(C).
    5. Sophie Osotimehin & Latchezar Popov, 2023. "Misallocation and Intersectoral linkages," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 177-198, December.
    6. Behrens, Kristian & Kichko, Sergei & Thisse, Jacques-Francois, 2024. "Working from home: Too much of a good thing?," Regional Science and Urban Economics, Elsevier, vol. 105(C).
    7. Florentine Schwark & Andreas Tryphonides, 2022. "Digitalization and Resilience to Disaggregate Shocks," University of Cyprus Working Papers in Economics 08-2022, University of Cyprus Department of Economics.
    8. Miranda-Pinto, Jorge & Silva, Alvaro & Young, Eric R., 2023. "Business cycle asymmetry and input-output structure: The role of firm-to-firm networks," Journal of Monetary Economics, Elsevier, vol. 137(C), pages 1-20.
    9. HAYAKAWA Kazunobu & Hans R.A. KOSTER & TABUCHI Takatoshi & Jacques-François THISSE, 2021. "High-speed Rail and the Spatial Distribution of Economic Activity: Evidence from Japan's Shinkansen," Discussion papers 21003, Research Institute of Economy, Trade and Industry (RIETI).
    10. Sen, Ali, 2020. "Structural change within the services sector, Baumol's cost disease, and cross-country productivity differences," MPRA Paper 99614, University Library of Munich, Germany.
    11. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
    12. Miranda-Pinto, Jorge & Young, Eric R., 2019. "Comparing dynamic multisector models," Economics Letters, Elsevier, vol. 181(C), pages 28-32.

    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. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
    2. David Rezza Baqaee, 2018. "Cascading Failures in Production Networks," Econometrica, Econometric Society, vol. 86(5), pages 1819-1838, September.
    3. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
    4. David Rezza Baqaee & Emmanuel Farhi, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," NBER Working Papers 24684, National Bureau of Economic Research, Inc.
    5. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Journal of Political Economy, University of Chicago Press, vol. 130(12), pages 3286-3333.
    6. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    7. Miranda-Pinto, Jorge, 2018. "A note on optimal sectoral policies in production networks," Economics Letters, Elsevier, vol. 172(C), pages 152-156.
    8. 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.
    9. 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.
    10. 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.
    11. Yoshiyuki ARATA, 2020. "The Role of Granularity in the Variance and Tail Probability of Aggregate Output," Discussion papers 20027, Research Institute of Economy, Trade and Industry (RIETI).
    12. Miranda-Pinto, Jorge & Young, Eric R., 2019. "Comparing dynamic multisector models," Economics Letters, Elsevier, vol. 181(C), pages 28-32.
    13. Dacic, Nikola & Melolinna, Marko, 2022. "The size-centrality relationship in production networks," Bank of England working papers 994, Bank of England.
    14. Altinoglu, Levent, 2021. "The origins of aggregate fluctuations in a credit network economy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 316-334.
    15. 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.
    16. 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.
    17. 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.
    18. Ryan Chahrour & Kristoffer Nimark & Stefan Pitschner, 2021. "Sectoral Media Focus and Aggregate Fluctuations," American Economic Review, American Economic Association, vol. 111(12), pages 3872-3922, December.
    19. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," Working Papers BAWP-2019-06, University of Sydney Business School, Discipline of Business Analytics.
    20. Shaowen Luo & Kwok Ping Tsang, 2020. "China And World Output Impact Of The Hubei Lockdown During The Coronavirus Outbreak," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 583-592, October.

    More about this item

    Keywords

    Elasticity of substitution; credit spreads; working capital constraints;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:qld:uq2004:608. 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: SOE IT (email available below). General contact details of provider: https://edirc.repec.org/data/decuqau.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.