IDEAS home Printed from https://ideas.repec.org/p/new/wpaper/1401.html

Business Confidence and Macroeconomic Dynamics in a Nonlinear Two-Country Framework with Aggregate Opinion Dynamics

Author

Listed:
  • Matthieu Charpe

    (International Labor Organization)

  • Carl Chiarella

    (University of Technology Sydney)

  • Peter Flaschel

    (Bielefeld University)

  • Christian R. Proaño

    (Department of Economics, New School for Social Research)

Abstract

The main objective of the present paper is to investigate explicitly the role of the state of confidence for the macroeconomic dynamics of two interacting economies using the opinion dy- namics approach by Weidlich and Haag (1983) and Lux (1995). Particularly, the overall state of confidence in the world (two-country) economy plays not only for the dynamics of the nominal ex- change rate but also for the dynamics of the real economy through the determination of aggregate investment. This novel feature allows us to consider far richer international macroeconomic inter- actions than most standard models. Further, it features wage-price dynamics that interact with output and employment fluctuations – leading to a Goodwin (1967)-type of distributive cycle –, as well as debt dynamics due to a credit-financed investment behavior. The resulting framework is both advanced as well as flexible enough to generate various types of persistent fluctuations, and also complex dynamics.

Suggested Citation

  • Matthieu Charpe & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2014. "Business Confidence and Macroeconomic Dynamics in a Nonlinear Two-Country Framework with Aggregate Opinion Dynamics," Working Papers 1401, New School for Social Research, Department of Economics.
  • Handle: RePEc:new:wpaper:1401
    as

    Download full text from publisher

    File URL: https://repec.economicpolicyresearch.org/econ/2014/NSSR_WP_012014.pdf
    File Function: First version, 2014
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lance Taylor & Stephen A. O'Connell, 1985. "A Minsky Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(Supplemen), pages 871-885.
    2. Lux, Thomas, 2009. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Journal of Economic Behavior & Organization, Elsevier, vol. 72(2), pages 638-655, November.
    3. Thomas Lux, 2009. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Post-Print hal-00720175, HAL.
    4. Chiarella,Carl & Flaschel,Peter, 2011. "The Dynamics of Keynesian Monetary Growth," Cambridge Books, Cambridge University Press, number 9780521180184, January.
    5. Peter Flaschel & Florian Hartmann & Christopher Malikane & Christian Proaño, 2015. "A Behavioral Macroeconomic Model of Exchange Rate Fluctuations with Complex Market Expectations Formation," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 669-691, April.
    6. Christian Proaño, 2009. "(De-)Stabilizing two-country macroeconomic interactions in an estimated model of the U.S. and the Euro Area," International Economics and Economic Policy, Springer, vol. 6(4), pages 421-443, December.
    7. repec:bla:econom:v:52:y:1985:i:205:p:9-23 is not listed on IDEAS
    8. Proaño, Christian R., 2011. "Exchange rate determination, macroeconomic dynamics and stability under heterogeneous behavioral FX expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 77(2), pages 177-188, February.
    9. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, December.
    10. Matthieu Charpe & Peter Flaschel & Hans-Martin Krolzig & Christian Proaño & Willi Semmler & Daniele Tavani, 2015. "Credit-driven investment, heterogeneous labor markets and macroeconomic dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 163-181, April.
    11. Chiarella,Carl & Flaschel,Peter & Franke,Reiner, 2011. "Foundations for a Disequilibrium Theory of the Business Cycle," Cambridge Books, Cambridge University Press, number 9780521369923, January.
    12. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    13. Matthieu Charpe & Peter Flaschel & Florian Hartmann & Roberto Veneziani, 2012. "Towards Keynesian DSGD (isequilibrium) Modelling: Real-Financial Market Interactions with Heterogeneous Expectations Dynamics," IMK Working Paper 93-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    14. Obstfeld, Maurice & Rogoff, Kenneth, 1995. "Exchange Rate Dynamics Redux," Journal of Political Economy, University of Chicago Press, vol. 103(3), pages 624-660, June.
    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. Proaño, Christian R., 2011. "Exchange rate determination, macroeconomic dynamics and stability under heterogeneous behavioral FX expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 77(2), pages 177-188, February.
    2. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 28, July-Dece.
    3. Flaschel, Peter & Charpe, Matthieu & Galanis, Giorgos & Proaño, Christian R. & Veneziani, Roberto, 2018. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 237-256.
    4. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016, January-A.
    5. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    6. Lines Marji & Westerhoff Frank, 2012. "Effects of Inflation Expectations on Macroeconomic Dynamics: Extrapolative Versus Regressive Expectations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-30, October.
    7. Gardini, Laura & Radi, Davide & Schmitt, Noemi & Sushko, Iryna & Westerhoff, Frank, 2023. "Sentiment-driven business cycle dynamics: An elementary macroeconomic model with animal spirits," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 342-359.
    8. Tianhao Zhi, 2016. "The Theory and Models of Keynesian Disequilibrium Macroeconomics," Working Paper Series 185, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Christian R. Proaño & Giorgos Galanis & Juan Carlos Peña, 2025. "On the macro-political dynamics of conflict inflation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(3), pages 725-745, July.
    10. Serena Sordi & Marwil J. Dávila-Fernández, 2020. "Investment behaviour and “bull & bear” dynamics: modelling real and stock market interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 867-897, October.
    11. Markus Demary, 2017. "Yield curve responses to market sentiments and monetary policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 309-344, July.
    12. Franke, Reiner, 2014. "Aggregate sentiment dynamics: A canonical modelling approach and its pleasant nonlinearities," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 64-72.
    13. Hawkins, Raymond J., 2011. "Lending sociodynamics and economic instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4355-4369.
    14. De Grauwe, Paul & Foresti, Pasquale, 2023. "Interactions of fiscal and monetary policies under waves of optimism and pessimism," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 466-481.
    15. Gang Gong & Jian Gao, 2006. "The Independent Monetary Policy under the Fixed Exchange Regime," Computing in Economics and Finance 2006 517, Society for Computational Economics.
    16. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
    17. Carl Chiarella & Corrado Di Guilmi & Tianhao Zhi, 2015. "Modelling the "Animal Spirits" of Bank's Lending Behaviour," Working Paper Series 183, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    18. GONG Gang & GAO Jian, 2008. "Monetary policy under fixed exchange regime: A study on the future monetary policy in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 3(2), pages 169-208, June.
    19. Di Francesco, Tommaso & Hommes, Cars, 2025. "Sentiment-driven speculation in financial markets with heterogeneous beliefs: A machine learning approach," Journal of Economic Dynamics and Control, Elsevier, vol. 175(C).
    20. Proaño, Christian R., 2012. "Gradual wage-price adjustments, labor market frictions and monetary policy rules," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 220-235.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:new:wpaper:1401. 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: Mark Setterfield (email available below). General contact details of provider: https://edirc.repec.org/data/denewus.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.