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Household economic instability: Constructs, measurement, and implications
A growing body of research demonstrates the multiple dimensions and dynamism of family income and employment. The metrics of household economic instability and their associations with household characteristics and hardship require further examination in order to compare across studies, subgroups, an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508048/ https://www.ncbi.nlm.nih.gov/pubmed/32981999 http://dx.doi.org/10.1016/j.childyouth.2020.105502 |
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author | Morrissey, Taryn W. Cha, Yun Wolf, Sharon Khan, Mariam |
author_facet | Morrissey, Taryn W. Cha, Yun Wolf, Sharon Khan, Mariam |
author_sort | Morrissey, Taryn W. |
collection | PubMed |
description | A growing body of research demonstrates the multiple dimensions and dynamism of family income and employment. The metrics of household economic instability and their associations with household characteristics and hardship require further examination in order to compare across studies, subgroups, and historical periods. This paper empirically examines and compares commonly used measures of income and employment instability, how these measures inter-relate, vary by household characteristics, and how they predict household hardship. Using longitudinal data from the 2008 panel of the Survey of Income and Program Participation (SIPP), and focusing on households with children, this study examined a range of descriptive measures of economic instability, including in income, earnings, public assistance benefits, and employment status, and how these measures related to each other. Results indicate that overall rates of income and employment instability were high, particularly among less-educated families, those with young children, and those who did not own a home. Economic instability, particularly decreases in employment, was associated with increased household hardship three months later. Findings also show that the source of income included in the instability measure affects the patterns identified and conclusions drawn, whereas the specific type of measure used matters less. Results highlight the instability of public assistance benefits and suggest that safety net programs must take economic instability into account when designing programs and benefits. |
format | Online Article Text |
id | pubmed-7508048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75080482020-09-23 Household economic instability: Constructs, measurement, and implications Morrissey, Taryn W. Cha, Yun Wolf, Sharon Khan, Mariam Child Youth Serv Rev Article A growing body of research demonstrates the multiple dimensions and dynamism of family income and employment. The metrics of household economic instability and their associations with household characteristics and hardship require further examination in order to compare across studies, subgroups, and historical periods. This paper empirically examines and compares commonly used measures of income and employment instability, how these measures inter-relate, vary by household characteristics, and how they predict household hardship. Using longitudinal data from the 2008 panel of the Survey of Income and Program Participation (SIPP), and focusing on households with children, this study examined a range of descriptive measures of economic instability, including in income, earnings, public assistance benefits, and employment status, and how these measures related to each other. Results indicate that overall rates of income and employment instability were high, particularly among less-educated families, those with young children, and those who did not own a home. Economic instability, particularly decreases in employment, was associated with increased household hardship three months later. Findings also show that the source of income included in the instability measure affects the patterns identified and conclusions drawn, whereas the specific type of measure used matters less. Results highlight the instability of public assistance benefits and suggest that safety net programs must take economic instability into account when designing programs and benefits. Elsevier Ltd. 2020-11 2020-09-22 /pmc/articles/PMC7508048/ /pubmed/32981999 http://dx.doi.org/10.1016/j.childyouth.2020.105502 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Morrissey, Taryn W. Cha, Yun Wolf, Sharon Khan, Mariam Household economic instability: Constructs, measurement, and implications |
title | Household economic instability: Constructs, measurement, and implications |
title_full | Household economic instability: Constructs, measurement, and implications |
title_fullStr | Household economic instability: Constructs, measurement, and implications |
title_full_unstemmed | Household economic instability: Constructs, measurement, and implications |
title_short | Household economic instability: Constructs, measurement, and implications |
title_sort | household economic instability: constructs, measurement, and implications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508048/ https://www.ncbi.nlm.nih.gov/pubmed/32981999 http://dx.doi.org/10.1016/j.childyouth.2020.105502 |
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