IDEAS home Printed from https://ideas.repec.org/a/fau/aucocz/au2012_038.html
   My bibliography  Save this article

Endogenous Heterogeneity, the Propagation of Information and Macroeconomic Complexity

Author

Listed:
  • Orlando Gomes

Abstract

The economy is an adaptive and evolving complex system. The recognition of this fact has produced, over the last few years, a gradual but firm shift on the direction taken by mainstream economic thought. The representative agent paradigm is giving place to settings of interacting heterogeneous agents, capable of generating dynamic outcomes that are unique for each assumed pattern of interaction. The complexity era, as it is called, requires original insights and innovative approaches, in order to reinterpret the economic reality. This paper intends to contribute to the complexity literature in economics by exploring a popular macroeconomic model (the sticky-information model) from a new angle. Information acquisition by price-setting firms will be endogenously determined in two steps: (i) the competition between almost identical media leads to an irregular pattern of information creation; (ii) once created, information spreads throughout the interested audience following a diffusion process. The con sequence is an erratic aggregate pattern of information acquisition that has consequences at a macro level, namely concerning the shape of the Phillips curve, which will change every period. Heterogeneity, self-organization, evolution and out-of-equilibrium dynamics are features that allow to classify the suggested framework as a setting of macroeconomic complexity.

Suggested Citation

  • Orlando Gomes, 2012. "Endogenous Heterogeneity, the Propagation of Information and Macroeconomic Complexity," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 6(1), pages 38-58, March.
  • Handle: RePEc:fau:aucocz:au2012_038
    as

    Download full text from publisher

    File URL: http://auco.cuni.cz/mag/article/download/id/123/type/attachment
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gomes, Orlando, 2008. "Too much of a good thing: Endogenous business cycles generated by bounded technological progress," Economic Modelling, Elsevier, vol. 25(5), pages 933-945, September.
    2. Fontana, Magda, 2010. "Can neoclassical economics handle complexity? The fallacy of the oil spot dynamic," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 584-596, December.
    3. Sheri M. Markose, 2005. "Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)," Economic Journal, Royal Economic Society, vol. 115(504), pages 159-192, June.
    4. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    5. N. Gregory Mankiw & Ricardo Reis, 2007. "Sticky Information in General Equilibrium," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 603-613, 04-05.
    6. Ron Martin & Peter Sunley, 2010. "Complexity Thinking and Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 4, Edward Elgar Publishing.
    7. Masahisa Fujita, 2009. "Dynamics of Innovation Fields with Endogenous Heterogeneity of People," Advances in Spatial Science, in: Charlie Karlsson & Ake E. Andersson & Paul C. Cheshire & Roger R. Stough (ed.), New Directions in Regional Economic Development, chapter 0, pages 59-78, Springer.
    8. K. Vela Velupillai, 2004. "A primer on the tools and concept of computable economics," Department of Economics Working Papers 0405, Department of Economics, University of Trento, Italia.
    9. Richard Holt & J. Barkley Rosser & David Colander, 2011. "The Complexity Era in Economics," Review of Political Economy, Taylor & Francis Journals, vol. 23(3), pages 357-369.
    10. Klaus Schmidt-Hebbel & Carl E. Walsh, 2009. "Monetary Policy under Uncertainty and Learning: An Overview," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 1, pages 001-025, Central Bank of Chile.
    11. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    12. Puu, T., 2010. "On the economics of increasing complexity: With some special focus on culture," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 59-68, July.
    13. Fontana Magda, 2008. "The complexity approach to economics : a Paradigm shift," CESMEP Working Papers 200801, University of Turin.
    14. Ricardo Reis, 2009. "A Sticky-information General Equilibrium Model por Policy Analysis," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 8, pages 227-283, Central Bank of Chile.
    15. J. Barkley Rosser, 2008. "Econophysics And Economic Complexity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 745-760.
    16. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness," American Economic Review, American Economic Association, vol. 96(2), pages 164-169, May.
    17. David Colander, 2009. "Complexity and the History of Economic Thought," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 16, Edward Elgar Publishing.
    18. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness (Expanded Version)," NBER Working Papers 12024, National Bureau of Economic Research, Inc.
    19. Charlie Karlsson & Ake E. Andersson & Paul C. Cheshire & Roger R. Stough (ed.), 2009. "New Directions in Regional Economic Development," Advances in Spatial Science, Springer, number 978-3-642-01017-0.
    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. repec:fgv:epgrbe:v:66:n:3:a:1 is not listed on IDEAS
    2. Gomes, Orlando, 2012. "Attentiveness cycles: Synchronized behavior and aggregate fluctuations," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.
    3. Orlando Gomes, 2012. "Transitional Dynamics in Sticky-Information General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 387-407, April.
    4. Slanicay Martin, 2014. "Some Notes on Historical, Theoretical, and Empirical Background of DSGE Models," Review of Economic Perspectives, Sciendo, vol. 14(2), pages 145-164, June.
    5. Gomes Orlando, 2009. "The Sticky Information Macro Model: Beyond Perfect Foresight," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-37, December.
    6. Verona, Fabio, 2014. "Pervasive inattentiveness," Economics Letters, Elsevier, vol. 125(2), pages 287-290.
    7. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Gomes, Orlando, 2012. "Thought experimentation and the Phillips curve," Research in Economics, Elsevier, vol. 66(1), pages 45-64.
    9. Gomes, Orlando, 2013. "Information stickiness on general equilibrium and endogenous cycles," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-43.
    10. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    11. Ekinci, Mehmet Fatih, 2017. "Inattentive consumers and international business cycles," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 1-27.
    12. Carrillo, Julio A., 2012. "How well does sticky information explain the dynamics of inflation, output, and real wages?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(6), pages 830-850.
    13. Fernando E. Alvarez & Francesco Lippi & Luigi Paciello, 2011. "Optimal Price Setting With Observation and Menu Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1909-1960.
    14. Monique Reid & Stan du Plessis, 2011. "Talking to the inattentive Public: How the media translates the Reserve Bank’s communications," Working Papers 19/2011, Stellenbosch University, Department of Economics.
    15. Reid, Monique, 2015. "Inflation expectations of the inattentive general public," Economic Modelling, Elsevier, vol. 46(C), pages 157-166.
    16. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," Discussion Papers 1409, Centre for Macroeconomics (CFM).
    17. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2009. "A naïve sticky information model of households' inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1332-1344, June.
    18. Carrera Cesar, 2012. "Estimating Information Rigidity Using Firms' Survey Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-34, June.
    19. Patrick Bolton & Antoine Faure-Grimaud, 2009. "Thinking Ahead: The Decision Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1205-1238.
    20. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
    21. Philip Arestis & Alexander Mihailov, 2011. "Classifying Monetary Economics: Fields And Methods From Past To Future," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 769-800, September.

    More about this item

    Keywords

    Complexity; information production and diffusion; heterogeneity; sticky-information; nonlinear dynamics;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:fau:aucocz:au2012_038. 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: Lenka Stastna (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.