Explaining Cointegration Analysis: Part II

B-Tier
Journal: The Energy Journal
Year: 2001
Volume: 22
Issue: 1
Pages: 75-120

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

We describe the concept of cointegration, its implications in modelling and forecasting, and discuss inference procedures appropriate in integrated-cointegrated vector autoregressive processes (VARs). Particular attention is paid to the properties of VARs, to the modelling of deterministic terms, and to the determination of the number of cointegration vectors. The analysis is illustrated by empirical examples.

Technical Details

RePEc Handle
repec:sae:enejou:v:22:y:2001:i:1:p:75-120
Journal Field
Energy
Author Count
2
Added to Database
2026-01-25