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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...
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Recent evidence suggests that younger people update beliefs more in response to aggregate shocks than older people. We embed this generational learning bias in an equilibrium model where agents have recursive preferences and are uncertain about exogenous aggregate dynamics. The departure from...
Persistent link: https://www.econbiz.de/10010258329
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...
Persistent link: https://www.econbiz.de/10013037068
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...
Persistent link: https://www.econbiz.de/10012458957
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...
Persistent link: https://www.econbiz.de/10013089576
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...
Persistent link: https://www.econbiz.de/10013071899