Baley, IsaacVeldkamp, LauraUniversitat Pompeu Fabra. Departament d'Economia i Empresa2024-11-142024-11-142021-07-16http://hdl.handle.net/10230/68577We 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 activityapplication/pdfengL'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative CommonsBayesian learninginfo:eu-repo/semantics/workingPaperbayes’ lawpassive learningactive learningsignal extractioninformation choicesticky informationrational inattentionexperimentationdata economycoordination games.Macroeconomics and International Economicsinfo:eu-repo/semantics/openAccess