Parameter Learning in General Equilibrium: The Asset Pricing Implications

Parameter learning strongly amplifies the impact of macro shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumption risks. We consider general equilibrium models with unknown parameters governing either long-run economic growth, the variance of shocks, rare events, or model selection. Overall, parameter learning generates long-lasting, quantitatively significant additional macro risks that help explain standard asset pricing puzzles.


Year:
2012
Publisher:
Columbia Business School
Laboratories:




 Record created 2013-08-08, last modified 2018-09-13

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