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Real Business Cycles And Stationary Markov Equilibrium With Global Heterogeneity

Author

Listed:
  • Rodrigo J. Raad

    (Cedeplar/UFMG)

  • Kevin Reffett

    (Arizona State University)

  • Lukasz Wozny

    (Warsaw School of Economics)

Abstract

This paper develops a stationary Markov general equilibrium model with heterogeneous agents, complete markets, and no frictions or imperfections, yet capable of generating aggregate business cycle dynamics endogenously. In contrast to prior literature that relies on market imperfections such as adjustment costs, financial constraints, or informational frictions to explain macroeconomic fluctuations, we show that cyclical behavior can emerge in fully efficient economies. The mechanism stems from the endogenous, price-mediated interaction of capital, consumption, and asset transaction flows across agents with diverse preferences and endowments. These flows induce persistent relative price movements that feed back into aggregate allocations, amplifying coordinated expansions and contractions without any deviation from Pareto efficiency. We conclude that pro-cyclical or counter-cyclical stabilization policies in such settings may not only be ineffective, but potentially welfare-reducing, as they interfere with efficient allocations and risk exacerbating public debt through unnecessary interventions.

Suggested Citation

  • Rodrigo J. Raad & Kevin Reffett & Lukasz Wozny, 2025. "Real Business Cycles And Stationary Markov Equilibrium With Global Heterogeneity," Textos para Discussão Cedeplar-UFMG 689, Cedeplar, Universidade Federal de Minas Gerais.
  • Handle: RePEc:cdp:texdis:td689
    as

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    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20689.pdf
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    References listed on IDEAS

    as
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    3. Duffie, Darrell, et al, 1994. "Stationary Markov Equilibria," Econometrica, Econometric Society, vol. 62(4), pages 745-781, July.
    4. Hairault, Jean-Olivier & Langot, Francois & Portier, Franck, 1997. "Time to implement and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 109-121, November.
    5. Backus, David K & Kehoe, Patrick J & Kydland, Finn E, 1992. "International Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 745-775, August.
    6. Oh, Hyunseung & Yoon, Chamna, 2020. "Time to build and the real-options channel of residential investment," Journal of Financial Economics, Elsevier, vol. 135(1), pages 255-269.
    7. Raad, Rodrigo & Woźny, Łukasz, 2019. "Lipschitz recursive equilibrium with a minimal state space and heterogeneous agents," Journal of Mathematical Economics, Elsevier, vol. 82(C), pages 98-111.
    8. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    9. Bomfim, Antulio N., 2001. "Measurement error in general equilibrium: the aggregate effects of noisy economic indicators," Journal of Monetary Economics, Elsevier, vol. 48(3), pages 585-603, December.
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    Keywords

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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