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Caballero–Engel meet Lasry–Lions: A uniqueness result

Author

Listed:
  • Fernando Alvarez

    (University of Chicago and NBER)

  • Francesco Lippi

    (LUISS University and EIEF)

  • Panagiotis Souganidis

    (University of Chicago)

Abstract

In a Mean Field Game (MFG) each decision maker cares about the cross sectional distribution of the state and the dynamics of the distribution is generated by the agents’ optimal decisions. We prove the uniqueness of the equilibrium in a class of MFG where the decision maker controls the state at optimally chosen times. This setup accommodates several problems featuring non-convex adjustment costs, and complements the well known drift-control case studied by Lasry–Lions. Examples of such problems are described by Caballero and Engel in several papers, which introduce the concept of the generalized hazard function of adjustment. We extend the analysis to a general “impulse control problem” by introducing the concept of the “Impulse Hamiltonian”. Under the monotonicity assumption (a form of strategic substitutability), we establish the uniqueness of equilibrium. In this context, the Impulse Hamiltonian and its derivative play a similar role to the classical Hamiltonian that arises in the drift-control case.

Suggested Citation

  • Fernando Alvarez & Francesco Lippi & Panagiotis Souganidis, 2024. "Caballero–Engel meet Lasry–Lions: A uniqueness result," Mathematics and Financial Economics, Springer, volume 18, number 13, October.
  • Handle: RePEc:spr:mathfi:v:18:y:2024:i:2:d:10.1007_s11579-024-00370-2
    DOI: 10.1007/s11579-024-00370-2
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    References listed on IDEAS

    as
    1. Fernando Alvarez & Francesco Lippi & Aleksei Oskolkov, 2022. "The Macroeconomics of Sticky Prices with Generalized Hazard Functions [“Optimal Inattention to the Stock Market With Information Costs and Transactions Costs,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(2), pages 989-1038.
    2. Isaac Baley & Andrés Blanco, 2021. "Aggregate Dynamics in Lumpy Economies," Econometrica, Econometric Society, vol. 89(3), pages 1235-1264, May.
    3. Bhattarai, Saroj & Schoenle, Raphael, 2014. "Multiproduct firms and price-setting: Theory and evidence from U.S. producer prices," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 178-192.
    4. Woodford, Michael, 2009. "Information-constrained state-dependent pricing," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 100-124.
    5. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 659-684.
    6. Fernando Alvarez & Francesco Lippi & Panagiotis Souganidis, 2023. "Price Setting With Strategic Complementarities as a Mean Field Game," Econometrica, Econometric Society, vol. 91(6), pages 2005-2039, November.
    7. Virgiliu Midrigan, 2011. "Menu Costs, Multiproduct Firms, and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(4), pages 1139-1180, July.
    8. James Costain & Anton Nakov, 2011. "Price Adjustments in a General Model of State‐Dependent Pricing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(2‐3), pages 385-406, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Mean field game; Impulse control; Dynamic games;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General

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