Seasonality in COVID-19 times.

Juan Bógalo, Martín Llada, Pilar Poncela, Eva Senra
Author Information
  1. Juan Bógalo: Universidad Autónoma de Madrid, Spain.
  2. Martín Llada: IIEP-BAIRES (UBA-CONICET), Argentina.
  3. Pilar Poncela: Universidad Autónoma de Madrid, Spain.
  4. Eva Senra: Universidad de Alcalá, Spain.

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.

Keywords

Word Cloud

Created with Highcharts 10.0.0COVID-19serieshiteconomyunprecedentedwaychangingdatageneratingprocessmanycomparedifferentseasonaladjustmentmethodssimulationsintroducingoutlierstrendseasonalityreproduceheterogeneitySeasonalitytimesCiSSADeseasonalizingOutlierX-13ARIMA-SEATS

Similar Articles

Cited By (1)