Nowcasting risk of poverty and low work intensity in Europe

Chrysa Leventi, Olga Rastrigina and Holly Sutherland

No EM9/15, EUROMOD Working Papers from EUROMOD at the Institute for Social and Economic Research

Abstract: Very low work intensity and at-risk-of-poverty are two of the three indicators used for monitoring progress towards the Europe 2020 poverty and social exclusion reduction target. Their timeliness is critical for tracing the effectiveness of policy interventions towards reaching this target. However, due in part to the complicated nature of microdata collection and processing, official Eurostat estimates of these indicators become available with a significant delay. This paper presents a method of estimating (‘nowcasting’) very low work intensity and poverty risk using the tax-benefit microsimulation model EUROMOD based on EU-SILC data and combined with up-to-date macro-level statistics from the Labour Force Survey. The method is applied to 12 EU Member States for the period 2009-2013. Its performance is assessed by comparing the EUROMOD estimates with the official Eurostat statistics for the years for which the latter are available. The most important measurement issues of the work intensity indicator that are relevant in the context of nowcasting are also discussed.

Date: 2015-06-23
New Economics Papers: this item is included in nep-eur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published

Downloads: (external link)
https://www.iser.essex.ac.uk/wp-content/uploads/fi ... s/euromod/em9-15.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ese:emodwp:em9-15

Access Statistics for this paper

More papers in EUROMOD Working Papers from EUROMOD at the Institute for Social and Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Nears ().