Leonardo Melosi
Job Market Candidate
Job market paper:
"A Likelihood Analysis of Models with Information Frictions"
Abstract:
I develop and estimate a dynamic general equilibrium model with
imperfectly informed firms in the sense of Woodford (2002). The model
has two aggregate shocks: a monetary policy shock and a technology
shock. Firms observe idiosyncratic noisy signals about these shocks and
face strategic complementarities in price setting. In this environment,
agents’ "forecasting the forecasts of others" can produce realistic
dynamics of model variables, with associated highly persistent real
effects of monetary shocks and delayed effects of such shocks on
inflation. The paper provides a full Bayesian analysis of the model,
revealing that it can capture the persistent propagation of monetary
shocks only by predicting that firms acquire less information about
monetary policy than about technology. To investigate the plausibility
of this finding, I augment the model to allow firms to optimally choose
how much information to acquire about the two shocks, subject to an
information-processing constraint à la Sims (2003). This constraint
sets the rate at which firms can substitute pieces of information about
the two shocks. I find that, in the estimated model, firms’ marginal
value of the information about monetary policy shocks is much higher
than that about technology shocks. Hence, I argue that the estimated
model predicts that firms acquire implausibly too little information
about monetary policy.
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