DRAFT

Ulric B. and Evelyn L. Bray Social Sciences Seminar

Tuesday, March 8, 2022
4:00pm to 5:00pm
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Baxter Lecture Hall
Optimally Imprecise Memory and Biased Forecasts
Michael Woodford, John Bates Clark Professor of Political Economy, Columbia University; Visiting Associate in Economics, Caltech,

We propose a model of optimal decision making subject to a memory constraint. The constraint is a limit on the complexity of memory measured using Shannon's mutual information, as in models of rational inattention; but our theory differs from that of Sims (2003) in not assuming costless memory of past cognitive states. We show that the model implies that both forecasts and actions will exhibit idiosyncratic random variation; that average beliefs will also diff er from rational-expectations beliefs, with a bias that fluctuates forever with a variance that does not fall to zero even in the long run; and that more recent news will be given disproportionate weight in forecasts. We solve the model under a variety of assumptions about the degree of persistence of the variable to be forecasted and the horizon over which it must be forecasted, and examine how the nature of forecast biases depends on these parameters. The model provides a simple explanation for a number of features of reported expectations in laboratory and field settings, notably the evidence of over-reaction in elicited forecasts documented by Afrouzi et al. (2020) and Bordalo et al. (2020a).

Written with Rava Azeredo da Silveira and Yeji Sung

For more information, please contact Letty Diaz by email at letty.diaz@caltech.edu.