63 lines
2.1 KiB
YAML
63 lines
2.1 KiB
YAML
abstract: 'The paper argues that we need more general statistical indices for the
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analysis of the European labour markets. First, the paper discusses some
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normative aspects that are implicit in the current definition of the
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employment rate, which is a fundamental policy target in the new
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strategy Europe 2020. Second, it proposes a class of generalized indices
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based on work intensity, as approximated by the total annual hours of
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work relative to a benchmark value. Third, it derives, in a consistent
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framework, household level employment indices. These indices provide a
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more nuanced picture of the European labour markets, which better
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reflects the diversity in the use of part-time and fixed term jobs as
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well as other factors affecting the allocation of work between and
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within households.'
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affiliation: 'Viviano, E (Corresponding Author), Bank Italy, Directorate Gen Econ
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Stat \& Res, Via Nazl 91, I-00184 Rome, Italy.
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Brandolini, Andrea; Viviano, Eliana, Bank Italy, Rome, Italy.'
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author: Brandolini, Andrea and Viviano, Eliana
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author-email: eliana.viviano@bancaditalia.it
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author_list:
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- family: Brandolini
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given: Andrea
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- family: Viviano
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given: Eliana
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da: '2023-09-28'
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doi: 10.1111/rssa.12134
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eissn: 1467-985X
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files: []
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issn: 0964-1998
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journal: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
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keywords: Employment rate; Inequality; Jobless household rate; Work intensity
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keywords-plus: 'SOCIAL INVESTMENT STATE; UNEQUAL INEQUALITIES; POVERTY; UNEMPLOYMENT;
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EUROPE; INCOME; WORK'
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language: English
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month: JUN
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number: '3'
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number-of-cited-references: '35'
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orcid-numbers: Brandolini, Andrea/0000-0002-2853-8721
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pages: 657-681
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papis_id: d0219e370dd5f5276789a20b7997637d
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ref: Brandolini2016headcount
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researcherid-numbers: Brandolini, Andrea/G-9772-2016
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times-cited: '8'
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title: Behind and beyond the (head count) employment rate
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type: article
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unique-id: WOS:000376152200003
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usage-count-last-180-days: '1'
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usage-count-since-2013: '4'
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volume: '179'
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web-of-science-categories: Social Sciences, Mathematical Methods; Statistics \& Probability
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year: '2016'
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