podcast.de
Anmeldung
Anmeldung Registrierung
Auto Hell Dunkel
Erweiterte Suche
  1. Startseite
  2. Podcasts
  3. Mathematik, Informatik und Statistik - Open Access LMU - Teil 01/03 Podcast
  4. Surviving Unemployment without State Support: Unemployment and Household Formation in South Africa
High unemployment in many OECD countries is often attributed, at
least in part, to the generosity and long duration of unemployment
compensation. It is therefore instructive to examine a country
where high unemployment exists despite the near complete absence of
an unemployment insurance system. In South Africa unemployment
stood at 23% in 1997 and the unemployed have no unemployment
insurance nor informal sector activities to fall back on. This
paper examines how the unemployed are able to get access to
resources without support from unemployment compensation. Analysing
a household survey from 1995, we find that the household formation
response of the unemployed is the critical way in which they assure
access to resources. In particular, unemployment delays the setting
up of an individual household of young people, in some cases by
decades. It also leads to the dissolution of existing households
and a return of constituent members to parents and other relatives
and friends. Access to state transfers (in particular, non¡
contributory old age pensions) increases the likelihood of
attracting unemployed persons to a household. Some unemployed do
not benefit from this safety net, and the presence of unemployed
members pulls many households supporting them into poverty. We also
show that the household formation responses draw some unemployed
away from employment opportunities and thus lowers their employment
prospects. The paper discusses the implications of these findings
for debates about unemployment and social policy in South Africa
and in OECD countries.

Weitere Episoden

Quantifying overdispersion effects in count regression data

Quantifying overdispersion effects in count regression data

vor 24 Jahren
Graphical chain models for the analysis of complex genetic diseases: an application to hypertension

Graphical chain models for the analysis of complex genetic diseases: an application to hypertension

vor 24 Jahren
Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries

Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries

vor 24 Jahren
Parametric and Nonparametric Regression with Missing X's - A Review

Parametric and Nonparametric Regression with Missing X's - A Review

vor 24 Jahren
A Selection Model for Bivariate Normal Data, with a Flexible Nonparametric Missing Model and a Focus on Variance Estimates

A Selection Model for Bivariate Normal Data, with a Flexible Nonparametric Missing Model and a Focus on Variance Estimates

vor 24 Jahren
Alle Episoden anzeigen
In Podcasts werben
Schalte jetzt Werbung in Podcasts.
Episode melden

„Surviving Unemployment without State Support: Unemployment and Household Formation in South Africa“

Worum geht es? Danach fragen wir noch nach dem Grund.

Abonnenten

Teilen

Mein Archiv

Deine Privatkopie der Folgen, die du nicht verlieren willst.

Podcast-Folgen verschwinden. Feeds werden auf die letzten Episoden gekürzt, Hoster räumen alte Dateien ab, Formate wechseln den Anbieter und lassen ihr Archiv zurück. Mit „Mein Archiv“ sichert podcast.de die Folgen deiner Podcasts für dich — angefangen bei den ältesten, denn die sind zuerst weg.

  • Deine gesicherten Folgen bleiben hörbar, auch wenn das Original offline geht.
  • Auch Folgen, die im heutigen Feed gar nicht mehr stehen — podcast.de kennt sie noch.
  • Herunterladen bleibt möglich, solange die Folge beim Podcaster liegt. Der zählt seine Abrufe wie bisher.
Startet bald

Sei beim Start von Mein Archiv dabei

Mein Archiv ist fast fertig. Trag dich ein, dann bekommst du eine E-Mail, sobald es losgeht – und bist von Anfang an dabei. Wir schreiben dir nur zum Start, keine Werbung, keine Weitergabe deiner Daten.

Du bekommst zuerst eine Bestätigungsmail. Abmelden geht jederzeit. Datenschutz