A characterization of vector autoregressive processes with common cyclical features

A-Tier
Journal: Journal of Econometrics
Year: 2011
Volume: 163
Issue: 1
Pages: 105-117

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

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

Abstract

This paper presents necessary and sufficient conditions for the existence of common cyclical features in Vector Auto Regressive (VAR) processes integrated of order 0, 1, 2, where the common cyclical features correspond to common serial correlation (CS), commonality in the final equations (CE) and co-dependence (CD). The results are based on local rank factorizations of the reversed AR polynomial around the poles of its inverse. All processes with CS structures are found to present also CE structures and vice versa. The presence of CD structures, instead, implies the presence of both CS and CE structures, but not vice versa. Characterizations of the CS, CE, CD linear combinations are given in terms of linear subspaces defined in the local rank factorizations.

Technical Details

RePEc Handle
repec:eee:econom:v:163:y:2011:i:1:p:105-117
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25