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Bayesian Learning

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  • Baley, Isaac
  • Veldkamp, Laura

Abstract

We survey work using Bayesian learning in macroeconomics, highlighting common themes and new directions. First, we present many of the common types of learning problems agents face -- signal extraction problems -- and trace out their effects on macro aggregates, in different strategic settings. Then we review different perspectives on how agents get their information. Models differ in their motives for information acquisition and the cost of information, or learning technology. Finally, we survey the growing literature on the data economy, where economic activity generates data and the information in data feeds back to affect economic activity.

Suggested Citation

  • Baley, Isaac & Veldkamp, Laura, 2021. "Bayesian Learning," CEPR Discussion Papers 16377, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:16377
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    More about this item

    Keywords

    Bayes' law; Passive learning; Active learning; Signal extraction; Information choice; Sticky information; Rational inattention; Experimentation; Data economy; Coordination games;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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