On Divergent Dynamics with Ordinary Least Squares Learning

This article addresses the stability properties of a simple economy (characterized by a one-dimensional state variable) when the representative agent, confronted by trajectories that are divergent from the steady state, performs transformations in that variable in order to improve forecasts. We find...

Full description

Saved in:
Bibliographic Details
Main Authors: CHATTERJI, Shurojit, LOBATO, Ignacio
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/1640
https://doi.org/10.1016/j.jebo.2014.10.003
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
Description
Summary:This article addresses the stability properties of a simple economy (characterized by a one-dimensional state variable) when the representative agent, confronted by trajectories that are divergent from the steady state, performs transformations in that variable in order to improve forecasts. We find that instability continues to be a robust outcome for transformations such as differencing and detrending the data, the two most typical approaches in econometrics to handle nonstationary time series data. We also find that inverting the data, a transformation that can be motivated by the agent reversing the time direction in an attempt to improve her forecasts, may lead the dynamics to a perfect-foresight path.