Global stability in spite of ''local instability'' with learning

We analyse learning dynamics in deterministic economies when agents generate their forecasts by performing least squares regressions on lagged values of the endogenous state variable. We establish conditions for the global convergence to the deterministic steady state of the dynamics under learning....

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Main Authors: CHATTERJI, Shurojit, CHATTOPADHYAY, Subir
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Language:English
Published: Institutional Knowledge at Singapore Management University 2000
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Online Access:https://ink.library.smu.edu.sg/soe_research/1881
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Institution: Singapore Management University
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spelling sg-smu-ink.soe_research-28812016-11-09T03:00:08Z Global stability in spite of ''local instability'' with learning CHATTERJI, Shurojit CHATTOPADHYAY, Subir We analyse learning dynamics in deterministic economies when agents generate their forecasts by performing least squares regressions on lagged values of the endogenous state variable. We establish conditions for the global convergence to the deterministic steady state of the dynamics under learning. Our global stability result is particularly relevant since the learning rules we consider are already known to produce locally divergent behaviour around the steady state. 2000-03-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/1881 info:doi/10.1016/S0304-4068(99)00021-X Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University least squares learning global stability local instability Economic Theory
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic least squares learning
global stability
local instability
Economic Theory
spellingShingle least squares learning
global stability
local instability
Economic Theory
CHATTERJI, Shurojit
CHATTOPADHYAY, Subir
Global stability in spite of ''local instability'' with learning
description We analyse learning dynamics in deterministic economies when agents generate their forecasts by performing least squares regressions on lagged values of the endogenous state variable. We establish conditions for the global convergence to the deterministic steady state of the dynamics under learning. Our global stability result is particularly relevant since the learning rules we consider are already known to produce locally divergent behaviour around the steady state.
format text
author CHATTERJI, Shurojit
CHATTOPADHYAY, Subir
author_facet CHATTERJI, Shurojit
CHATTOPADHYAY, Subir
author_sort CHATTERJI, Shurojit
title Global stability in spite of ''local instability'' with learning
title_short Global stability in spite of ''local instability'' with learning
title_full Global stability in spite of ''local instability'' with learning
title_fullStr Global stability in spite of ''local instability'' with learning
title_full_unstemmed Global stability in spite of ''local instability'' with learning
title_sort global stability in spite of ''local instability'' with learning
publisher Institutional Knowledge at Singapore Management University
publishDate 2000
url https://ink.library.smu.edu.sg/soe_research/1881
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