30 years of cointegration and dynamic factor models forecasting and its future with big data: Editorial

B-Tier
Journal: International Journal of Forecasting
Year: 2021
Volume: 37
Issue: 4
Pages: 1333-1337

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

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

Abstract

The seed of this special section was the workshop celebrated at FUNCAS in Madrid in February 2019 “30 Years of Cointegration and Dynamic Factor Models Forecasting and its Future with Big Data”. In this editorial, we describe the main contributions of the 13 papers published within the special section towards forecasting in the context of non- stationary Big Data using cointegration or Dynamic Factor Models.

Technical Details

RePEc Handle
repec:eee:intfor:v:37:y:2021:i:4:p:1333-1337
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25