Artikel
In-work poverty dynamics: Trigger events and short-term trajectories in Argentina
In-work poverty (IWP) is gaining interest in the public agenda. This article is a first contribution to the analysis of IWP dynamics in Latin America, based on the study of the Argentine case. Using one-year interval panel data, the paper analyzes the trigger events that produce entries and exits from IWP, short-term poverty trajectories and the determinants associated to transient and persistent poverty. Drawing on a decomposition analysis of mutually exclusive events, the article shows that labor market events are the most relevant triggers for both exits and entries into IWP. Based on a multinomial logistic regression, the paper concludes that low education, the presence of children in the household, and having a low-quality job are the three main factors explaining persistent-poverty.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal for Labour Market Research ; ISSN: 2510-5027 ; Volume: 57 ; Year: 2023 ; Issue: 1 ; Pages: 1-16
- Klassifikation
-
Wirtschaft
Measurement and Analysis of Poverty
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Job, Occupational, and Intergenerational Mobility; Promotion
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
- Thema
-
s In-work poverty
Poverty dynamics
Labor market
Quality of employment
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Poy, Santiago
- Ereignis
-
Veröffentlichung
- (wer)
-
Springer
- (wo)
-
Heidelberg
- (wann)
-
2023
- DOI
-
doi:10.1186/s12651-023-00348-5
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Poy, Santiago
- Springer
Entstanden
- 2023
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