Individual employment, household employment and risk of poverty in the EU. A decomposition analysis

status: publishe

Huishoudens zonder werk in België

- Werkloosheid kan men meten op individueel niveau (hoeveel mensen zijn niet aan het werk?) en op huishoudniveau (hoeveel mensen leven in een huishouden waar niemand werkt?). Deze twee benaderingen geven tegenstrijdige signalen over de arbeidsmarkt. - We gebruiken ‘polarisatie’ om de verdeling van werk over huishoudens in kaart te brengen: de geobserveerde huishoudwerkloosheid wordt vergeleken met een hypothetische ‘verwachte’ huishoudwerkloosheid die gebaseerd is op een toevallige verdeling van werk over huishoudens. - In België is deze polarisatie sterk en leven veel mensen in een werkloos huishouden. - Huishoudwerkloosheid is geconcentreerd in de groep van de alleenstaanden. In België zijn alleenstaanden, meer dan in andere landen, mensen met een ‘zwak’ sociaaleconomisch profiel. Bovendien is het verschil in werkloosheidsrisico’s tussen mensen met ‘sterke profielen’ en ‘zwakke profielen’ in België groter dan in andere landen. - De stabiliteit in huishoudwerkloosheid in België is vooral te wijten aan toenemende polarisatie van werk binnen koppels. De groei in individuele tewerkstelling is geconcentreerd in huishoudens waar reeds iemand aan het werk was. Daarnaast speelt ook het stijgend aandeel alleenstaanden (die een hoger risico hebben op werkloosheid). - Huishoudwerkloosheid neemt toe in de leeftijdsgroepen jonger dan 50, zeker in Brussel en Wallonië. Dit draagt bij tot de slechte Belgische prestatie inzake kinderarmoede. - Om de huishoudwerkloosheid in België te verminderen, moet de kloof tussen individuele ‘insiders’ en ‘outsiders’ kleiner worden

Polarisation of employment over households revisited: the Belgian case

Over the last 30 years the share of individuals in the Belgian working-age population without employment (‘individual joblessness’) has fallen continuously, while the share of households with no working-age member in employment (‘household joblessness’) remained fairly stable. In this paper we examine why individual joblessness and household joblessness diverge. The growing gap between both measures of joblessness reflects changes in household composition and changes in the distribution of individual employment over households. We describe the latter phenomenon by constructing a measure of ‘polarisation of employment over households’, which is based on the difference between observed and ‘expected’ household joblessness. On the basis of changes in household formation and changes in individual joblessness one would have expected household joblessness in Belgium to decrease. However, increasing polarisation, i.e. an increasingly unequal distribution of jobs over households, has counteracted this ‘expected’ evolution. Singles constitute households that are most vulnerable to the polarisation we describe, but a shift towards such more vulnerable households offers only a small share of the explanation of the evolution over time. We observe rising levels of polarisation, both in single adult households and couples. Within these household groups, changes in polarisation are similar, but increasing polarisation among couples is the most important factor in the overall increase in polarisation. The personal characteristics associated with individual joblessness (gender, education, age, region, origin) explain a significant part of this polarisation on the level of households. In 2012, almost half of polarisation in single adult households can be explained through typical individual characteristics of singles. In couples almost one third of polarisation is related to individual characteristics and marital selection. However, this also means that a substantial part of household joblessness cannot be explained by these individual characteristics. A comparison of Belgium with three low-polarisation countries (Germany, France, the Netherlands) and two high-polarisation countries (Ireland and the United Kingdom) suggests that polarisation is high in Belgium, when compared to Germany, France and the Netherlands, for the following reason. First, more than in those countries, Belgian singles have a weak socio-economic profile in terms of age, skills and origin: compared with the total population, they are more often low-skilled, older, and born outside the European Union. Second, the difference in individual joblessness between individuals with strong profiles and individuals with weak profiles is larger in Belgium than in those countries (whether it concerns singles or not). The latter factor is reinforced by regional differences within Belgium. Third, educational homogamy in couples is larger in Belgium than in Germany, France and the Netherlands