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Economic Theory: Can Agents with Causal Misperceptions be Systematically Fooled?

Rani Spiegler, Tel Aviv University
Friday, April 28, 2017
3:30-5:00 PM
301 Lorch Hall Map
Abstract

The conventional rational-expectations postulate rules out the possibility that agents will form systematically biased estimates of economic variables. This paper revisits this question under the assumption that agents' expectations are based on a misspecified causal model. I present a model in which an agent forms estimates (or forecasts) of individual variables after observing a signal. His estimates are based on fitting a subjective causal model - formalized as a directed acyclic graph, following the "Bayesian networks" literature - to objective long-run data. I show that the agent's estimates are never systematically biased if and only if his graph is perfect - it links every two causes of some third variable. This result identifies a certain form of correlation neglect as the kind of misperception that generates systematic prediction errors. I demonstrate the relevance of this result for economic applications: speculative trade, manipulation of a firm's reputation and a stylized "monetary policy" example in which the inflation-output relation obeys an expectational Phillips Curve.
Building: Lorch Hall
Website:
Event Type: Workshop / Seminar
Tags: Economics, seminar
Source: Happening @ Michigan from Economic Theory, Department of Economics, Department of Economics Seminars