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How Do Aggregate Fluctuations Depend on the Network Structure of the Economy?

Author Info

Listed author(s):
  • Lorenzo Burlon

    (Universitat de Barcelona)

Abstract

In this paper we analyze the aggregate volatility of a stylized economy where agents are networked. If strategic relations connect agents,actions, idiosyncratic shocks can generate nontrivial aggregate fluctuations. We show that the aggregate volatility depends on the network structure of the economy in two ways. On the one hand, the more connected the economy, the lower the aggregate volatility. On the other hand, the more concentrated the network, the higher the aggregate volatility. We provide an application of our theoretical predictions using US data on intersectoral linkages and firms diversification patterns.

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File URL: http://www.ere.ub.es/dtreball/E12278.rdf/at_download/file
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Paper provided by Universitat de Barcelona. Espai de Recerca en Economia in its series Working Papers in Economics with number 278.

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Length: 0 pages
Date of creation: 2012
Handle: RePEc:bar:bedcje:2012278
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Espai de Recerca en Economia, Facultat de Ciències Econòmiques. Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona. Spain.

Phone: +34 93 402 43 13cazza
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Keywords:

Find related papers by 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
  • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis

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  1. Vasco Carvalho, 2007. "Aggregate fluctuations and the network structure of intersectoral trade," Economics Working Papers 1206, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2010.
  2. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, 09.
  3. 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.
  4. Stefania Vitali & James B. Glattfelder & Stefano Battiston, 2011. "The network of global corporate control," Papers 1107.5728, arXiv.org, revised Sep 2011.
  5. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
  6. Sanjeev Goyal & Marco J. van der Leij & José Luis Moraga-Gonzalez, 2006. "Economics: An Emerging Small World," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 403-432, April.
  7. Alfaro, Laura & Chen, Maggie Xiaoyang, 2014. "The global agglomeration of multinational firms," Journal of International Economics, Elsevier, vol. 94(2), pages 263-276.
  8. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2010. "Cascades in Networks and Aggregate Volatility," NBER Working Papers 16516, National Bureau of Economic Research, Inc.
  9. Boyan Jovanovic, 1987. "Micro Shocks and Aggregate Risk," The Quarterly Journal of Economics, Oxford University Press, vol. 102(2), pages 395-409.
  10. Abhijit Banerjee & Arun G. Chandrasekhar & Esther Duflo & Matthew O. Jackson, 2012. "The Diffusion of Microfinance," NBER Working Papers 17743, National Bureau of Economic Research, Inc.
  11. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2006. "Who's Who in Networks. Wanted: The Key Player," Econometrica, Econometric Society, vol. 74(5), pages 1403-1417, 09.
  12. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, 05.
  13. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
  14. Erzo G. J. Luttmer, 2007. "Selection, Growth, and the Size Distribution of Firms," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1103-1144.
  15. Francis Bloch, 1995. "Endogenous Structures of Association in Oligopolies," RAND Journal of Economics, The RAND Corporation, vol. 26(3), pages 537-556, Autumn.
  16. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
  17. Cass, David & Shell, Karl, 1983. "Do Sunspots Matter?," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 193-227, April.
  18. Timothy G. Conley & Bill Dupor, 2003. "A Spatial Analysis of Sectoral Complementarity," Journal of Political Economy, University of Chicago Press, vol. 111(2), pages 311-352, April.
  19. Shea, John S, 2002. "Complementarities and Comovements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 412-433, May.
  20. Dupor, Bill, 1999. "Aggregation and irrelevance in multi-sector models," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 391-409, April.
  21. Nirei, Makoto, 2006. "Threshold behavior and aggregate fluctuation," Journal of Economic Theory, Elsevier, vol. 127(1), pages 309-322, March.
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Cited by:

  1. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Microeconomic Origins of Macroeconomic Tail Risks," NBER Working Papers 20865, National Bureau of Economic Research, Inc.
  2. 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.

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