Stationarity of econometric learning with bounded memory and a predicted state variable

C-Tier
Journal: Economics Letters
Year: 2015
Volume: 130
Issue: C
Pages: 93-96

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this paper, we consider a model where producers set their prices based on their prediction of the aggregated price level and an exogenous variable, which can be a demand or a cost-push shock. To form their expectations, they use OLS-type econometric learning with bounded memory. We show that the aggregated price follows the random coefficient autoregressive process and we prove that this process is covariance stationary.

Technical Details

RePEc Handle
repec:eee:ecolet:v:130:y:2015:i:c:p:93-96
Journal Field
General
Author Count
3
Added to Database
2026-01-25