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Gradual learning from incremental actions

Author

Listed:
  • Laiho, Tuomas

    (Department of Economics, Aalto University School of Business and Ministry of Finance, Finland)

  • Murto, Pauli

    (Department of Economics, Aalto University School of Business and Helsinki Graduate School of Economics)

  • Salmi, Julia

    (Department of Finance and Economics, Hanken School of Economics and Helsinki Graduate School of Economics)

Abstract

We introduce a collective experimentation problem where a continuum of agents choose the timing of irreversible actions under uncertainty and where public feedback from the actions arrives gradually over time. The leading application is the adoption of new technologies. The socially optimal expansion path entails an informational trade-off where acting today speeds up learning but postponing capitalizes on the option value of waiting. We contrast the social optimum to the decentralized equilibrium where agents ignore the social value of information they generate. We show that the equilibrium can be obtained by assuming that agents ignore the future actions of other agents, which lets us recast the complicated two-dimensional problem as a series of one-dimensional problems.

Suggested Citation

  • Laiho, Tuomas & Murto, Pauli & Salmi, Julia, 2025. "Gradual learning from incremental actions," Theoretical Economics, Econometric Society, vol. 20(1), January.
  • Handle: RePEc:the:publsh:5452
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    References listed on IDEAS

    as
    1. Godfrey Keller & Sven Rady & Martin Cripps, 2005. "Strategic Experimentation with Exponential Bandits," Econometrica, Econometric Society, vol. 73(1), pages 39-68, January.
    2. Chamley, Christophe & Gale, Douglas, 1994. "Information Revelation and Strategic Delay in a Model of Investment," Econometrica, Econometric Society, vol. 62(5), pages 1065-1085, September.
    3. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Social learning; experimentation; optimal stopping; technology adoption;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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