Estimating Models with Dispersed Information
American Economic Journal: Macroeconomics
vol. 6,
no. 1, January 2014
(pp. 1-31)
Abstract
We conduct likelihood evaluation of a DSGE model in which firms have imperfect common knowledge. Imperfect common knowledge is found to be more successful than price stickiness á la Calvo to account for the highly persistent effects of nominal shocks on output and inflation. Our likelihood analysis suggests that firms pay little attention to aggregate nominal conditions. This paper shows that such allocation of attention is plausible because it is optimal for firms with a reasonably small size of information frictions and a size of idiosyncratic uncertainty that is in line with the micro evidence on price changes.Citation
Melosi, Leonardo. 2014. "Estimating Models with Dispersed Information." American Economic Journal: Macroeconomics, 6 (1): 1-31. DOI: 10.1257/mac.6.1.1Additional Materials
JEL Classification
- C51 Model Construction and Estimation
- D83 Search; Learning; Information and Knowledge; Communication; Belief
- E13 General Aggregative Models: Neoclassical
- E23 Macroeconomics: Production
- E31 Price Level; Inflation; Deflation
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