Seasonality in COVID-19 times

C-Tier
Journal: Economics Letters
Year: 2022
Volume: 211
Issue: C

Authors (4)

Bógalo, Juan (not in RePEc) Llada, Martín (not in RePEc) Poncela, Pilar (Universidad Autónoma de Madrid) Senra, Eva (not in RePEc)

Score contribution per author:

0.251 = (α=2.01 / 4 authors) × 0.5x C-tier

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

Abstract

COVID-19 hit the economy in an unprecedented way, changing the data generating process of many series. We compare different seasonal adjustment methods through simulations, introducing outliers in the trend and seasonality to reproduce the heterogeneity in the series during COVID-19.

Technical Details

RePEc Handle
repec:eee:ecolet:v:211:y:2022:i:c:s0165176521004547
Journal Field
General
Author Count
4
Added to Database
2026-01-29