DP16377 Bayesian Learning

Author(s): Isaac Baley, Laura Veldkamp
Publication Date: July 2021
Keyword(s): active learning, Bayes' law, Coordination Games, data economy, Experimentation, Information Choice, passive learning, rational inattention, Signal Extraction, Sticky information
JEL(s): D80, D81, D83, D84, E20, E30
Programme Areas: Financial Economics, Monetary Economics and Fluctuations, Macroeconomics and Growth
Link to this Page: cepr.org/active/publications/discussion_papers/dp.php?dpno=16377

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.