Learning and Expectations in Dynamic Spatial Economies

Working Paper: NBER ID: w31504

Authors: Jingting Fan; Sungwan Hong; Fernando Parro

Abstract: The impact of shocks in dynamic environments depends on how forward-looking agents anticipate the path of future fundamentals that shape their decisions. We incorporate flexible beliefs about future fundamentals into a general class of dynamic spatial models, allowing beliefs to be evolving, uncertain, and heterogeneous across groups of agents. We show how to implement our methodology to study both ex-ante and ex-post shocks to fundamentals. We apply our method to two settings: an ex-ante study of the economic impacts of climate change, and an ex-post evaluation of the China productivity shock on the U.S. economy. In both cases, we study the impact of deviations from perfect foresight on different outcomes.

Keywords: dynamic spatial economies; beliefs; shocks; climate change; China productivity shock

JEL Codes: F1; F11; F16; F18; Q54; R11; R13


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
agents' beliefs about future fundamentals (D84)migration decisions (F22)
climate change is perfectly anticipated (Q54)economic welfare (D69)
climate skeptics slow down spatial reallocation (Q54)welfare for believers in the north and decreased welfare for individuals in the south (I39)
agents' initially held overly pessimistic beliefs about China's productivity (D24)welfare gain due to China's productivity growth (O49)

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