Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Nowcasting impact of COVID-19 on multidimensional child poverty

Fiala, Oliver; Kielem, Aristide; Delamónica, Enrique; Obaidy, Mohamed; Espinoza Delgado, Jose; Giacoponello, Mariela CarolinaIcon ; Martinez, Ismael Cid
Fecha de publicación: 07/2022
Editorial: IOS Press
Revista: Statistical Journal of the IAOS
ISSN: 1874-7655
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias Sociales Interdisciplinarias

Resumen

From the onset, it was clear that the impact of the global economic and social crisis caused by the COVID-19 pandemic was unlikely to affect all children equally. Thus, it was necessary to ascertain the impact of COVID-19 on child poverty as the events unfolded. Many of the indirect effects of the pandemic - disruptions to health services, delayed vaccination programmes, widespread school closures, and increases in food insecurity - have significant impacts on the realisation of children's rights and, consequently, were expected to increase material deprivations across different dimensions. The question was by how much? In this article we explain the modelling and methodological approach to project or nowcast the answer to that question. The method is dynamic as it was revised as additional information emerged during 2020 and 2021.
Palabras clave: CHILD POVERTY , CHILDREN , COVID-19 , NOWCASTING , POVERTY
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 126.1Kb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/206701
DOI: http://dx.doi.org/10.3233/SJI-220060
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Citación
Fiala, Oliver; Kielem, Aristide; Delamónica, Enrique; Obaidy, Mohamed; Espinoza Delgado, Jose; et al.; Nowcasting impact of COVID-19 on multidimensional child poverty; IOS Press; Statistical Journal of the IAOS; 38; 3; 7-2022; 853-859
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES