Individual Employment, Household Employment, and Risk of Poverty in the European Union. A Decomposition Analysis

Corluy, Vincent; Vandenbroucke, Frank

doi:10.1093/acprof:oso/9780199926589.003.0003

Cited by 37 publications

(38 citation statements)

References 250 publications

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“…By adopting a straightforward decomposition in a similar way as de Beer (2007) and Corluy and Vandenbroucke (2014), we examine the change in in-work poverty.…”

Section: Poverty and Part-time Work: Data Definitions And Methodsmentioning

confidence: 99%

Hanging in, but only just: part-time employment and in-work poverty throughout the crisis

2016

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The crisis has deepened pre-existing concerns regarding low-wage and non-standard employment. Countries where unemployment increased most strongly during the crisis period also saw part-time employment increasing, particularly involuntary part-time work. With involuntary part-time workers, as a particular group of underemployed, facing especially high poverty rates, this was accompanied by an increase, on average, in the poverty risk associated with working part-time. However, this was not reflected in a marked increase in the overall in-work poverty rate because full-time work remains dominant and its poverty risk did not change markedly. The household context is of the essence when considering policy implications.JEL codes: I32, I38, J21, J22, J68, R28

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“…By adopting a straightforward decomposition in a similar way as de Beer (2007) and Corluy and Vandenbroucke (2014), we examine the change in in-work poverty.…”

Section: Poverty and Part-time Work: Data Definitions And Methodsmentioning

confidence: 99%

Hanging in, but only just: part-time employment and in-work poverty throughout the crisis

2016

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“…If the income threshold is set to 60 per cent of the EU‐wide median income, the share of the EU‐15 in the total number of persons living in a household below this threshold has increased from 47 to 58 per cent. In order to quantify the effect of changes in the EU‐15 and the NMS on the total change in the low‐income proportion in the EU more precisely, we follow Corluy and Vandenbroucke (), and decompose the total change in the low‐income proportion (∆LIP) as follows:

Δ italicLIP = \overset{italicShar e_{E U 15}}{true} * Δ L I P_{E U 15} prefix+ \overset{italicShar e_{N M S}}{true} * Δ L I P_{N M S} prefix+ ((), \overset{L I P_{E U 15}}{true} - \overset{L I P_{N M S}}{true}) * Δ italicShar e_{N M S}

…”

Section: Resultsmentioning

confidence: 99%

“…Second, the decomposition is a mere accounting approach and is no attempt to construct a realistic counterfactual. A more detailed discussion of the limits of this decomposition can be found in Corluy, V. and Vandenbroucke, F. (2012) 'Individual Employment, Household Employment and Risk of Poverty in the EU. A Decomposition Analysis'.…”

Section: The Contribution Of the Eu-15 And Nms To Changes In The Low-mentioning

confidence: 99%

The EU Convergence Machine at Work. To the Benefit of the EU's Poorest Citizens?

Goedemé

Collado

2016

J of Common Market Studies

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Social cohesion in the EU (European Union) is usually assessed on the basis of GDP per capita and relative poverty rates. These indicators show that the ‘European convergence machine’ led to greater social cohesion between old and new Member States (EU‐15 and NMS) until the onset of the crisis. In this article we offer an alternative perspective by directly comparing EU citizens’ disposable household incomes. Using four waves of EU‐SILC data, we explore what happened between 2005 and 2011 in the EU‐15 and NMS regarding changes in the lowest household incomes in relation to the EU‐wide median. Results show that, overall, the convergence machine seemed to work well for the lowest incomes in the NMS, but not so much for those living in the EU‐15. At the same time, differences in living standards remain quite large. This points to important continued challenges for EU policy initiatives in the social domain.

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“…Thus, it does not signal any difference between a traditional male breadwinner household, a couple where one member chooses to work part time thanks to the intrahousehold sharing of resources or a couple with two full‐time earners. Despite these limits, the jobless household rate has been used to study the distribution of work between households (Gregg and Wadsworth, , ; Gregg et al ., ), the effect of rising unemployment on household joblessness during the Great Recession (Jenkins et al ., ) and the link between household low work intensity and poverty risk (Vandenbroucke and Diris, ; Corluy and Vandenbroucke, ).…”

Section: The Generalized Employment Ratementioning

confidence: 99%

Behind and Beyond the (Head Count) Employment Rate

Brandolini

Viviano

2015

Journal of the Royal Statistical Society Series A: Statistics in Society

121

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The paper argues that we need more general statistical indices for the analysis of the European labour markets. First, the paper discusses some normative aspects that are implicit in the current definition of the employment rate, which is a fundamental policy target in the new strategy Europe 2020. Second, it proposes a class of generalized indices based on work intensity, as approximated by the total annual hours of work relative to a benchmark value. Third, it derives, in a consistent framework, household level employment indices. These indices provide a more nuanced picture of the European labour markets, which better reflects the diversity in the use of part-time and fixed term jobs as well as other factors affecting the allocation of work between and within households.

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Individual Employment, Household Employment, and Risk of Poverty in the European Union. A Decomposition Analysis

Cited by 37 publications

References 250 publications

Hanging in, but only just: part-time employment and in-work poverty throughout the crisis

Hanging in, but only just: part-time employment and in-work poverty throughout the crisis

The EU Convergence Machine at Work. To the Benefit of the EU's Poorest Citizens?

Behind and Beyond the (Head Count) Employment Rate

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