abstract: '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.'
affiliation: 'Viviano, E (Corresponding Author), Bank Italy, Directorate Gen Econ
  Stat \& Res, Via Nazl 91, I-00184 Rome, Italy.

  Brandolini, Andrea; Viviano, Eliana, Bank Italy, Rome, Italy.'
author: Brandolini, Andrea and Viviano, Eliana
author-email: eliana.viviano@bancaditalia.it
author_list:
- family: Brandolini
  given: Andrea
- family: Viviano
  given: Eliana
da: '2023-09-28'
doi: 10.1111/rssa.12134
eissn: 1467-985X
files: []
issn: 0964-1998
journal: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
keywords: Employment rate; Inequality; Jobless household rate; Work intensity
keywords-plus: 'SOCIAL INVESTMENT STATE; UNEQUAL INEQUALITIES; POVERTY; UNEMPLOYMENT;

  EUROPE; INCOME; WORK'
language: English
month: JUN
number: '3'
number-of-cited-references: '35'
orcid-numbers: Brandolini, Andrea/0000-0002-2853-8721
pages: 657-681
papis_id: d0219e370dd5f5276789a20b7997637d
ref: Brandolini2016headcount
researcherid-numbers: Brandolini, Andrea/G-9772-2016
times-cited: '8'
title: Behind and beyond the (head count) employment rate
type: article
unique-id: WOS:000376152200003
usage-count-last-180-days: '1'
usage-count-since-2013: '4'
volume: '179'
web-of-science-categories: Social Sciences, Mathematical Methods; Statistics \& Probability
year: '2016'