The convergence of least squares learning in stochastic temporary equilibrium models

This paper provides conditions for the almost sure convergence of the least squares learning rule in a stochastic temporary equilibrium model, where regressions are performed on the past values of the endogenous state variable. In contrast to earlier studies, (Evans and Honkapohja, 1998; Marcent and...

Full description

Saved in:

Bibliographic Details
Main Author:	CHATTERJI, Shurojit
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2002
Subjects:	least squares learning almost sure convergence Economic Theory
Online Access:	https://ink.library.smu.edu.sg/soe_research/1882
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.soe_research-2882
record_format	dspace
spelling	sg-smu-ink.soe_research-28822016-11-09T03:00:08Z The convergence of least squares learning in stochastic temporary equilibrium models CHATTERJI, Shurojit This paper provides conditions for the almost sure convergence of the least squares learning rule in a stochastic temporary equilibrium model, where regressions are performed on the past values of the endogenous state variable. In contrast to earlier studies, (Evans and Honkapohja, 1998; Marcent and Sargent, 1989), which were local analyses, the dynamics are studied from a global viewpoint, which allows one to obtain an almost sure convergence result without employing projection facilities. 2002-11-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/1882 info:doi/10.1007/s00199-001-0237-8 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University least squares learning almost sure convergence 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 almost sure convergence Economic Theory
spellingShingle	least squares learning almost sure convergence Economic Theory CHATTERJI, Shurojit The convergence of least squares learning in stochastic temporary equilibrium models
description	This paper provides conditions for the almost sure convergence of the least squares learning rule in a stochastic temporary equilibrium model, where regressions are performed on the past values of the endogenous state variable. In contrast to earlier studies, (Evans and Honkapohja, 1998; Marcent and Sargent, 1989), which were local analyses, the dynamics are studied from a global viewpoint, which allows one to obtain an almost sure convergence result without employing projection facilities.
format	text
author	CHATTERJI, Shurojit
author_facet	CHATTERJI, Shurojit
author_sort	CHATTERJI, Shurojit
title	The convergence of least squares learning in stochastic temporary equilibrium models
title_short	The convergence of least squares learning in stochastic temporary equilibrium models
title_full	The convergence of least squares learning in stochastic temporary equilibrium models
title_fullStr	The convergence of least squares learning in stochastic temporary equilibrium models
title_full_unstemmed	The convergence of least squares learning in stochastic temporary equilibrium models
title_sort	convergence of least squares learning in stochastic temporary equilibrium models
publisher	Institutional Knowledge at Singapore Management University
publishDate	2002
url	https://ink.library.smu.edu.sg/soe_research/1882
_version_	1770573059976069120

The convergence of least squares learning in stochastic temporary equilibrium models

Similar Items