Measurement of contract type from multi-source data: Preliminary results from the Dutch and Italian experience

Danila Filipponi; Mauricio Garnier Villarreal; Silvia Loriga; Dimitris Pavlopoulos; Reinoud D. Stoel; Roberta Varriale

Measurement of contract type from multi-source data: Preliminary results from the Dutch and Italian experience

Danila Filipponi^*
, Mauricio Garnier Villarreal
, Silvia Loriga
, Dimitris Pavlopoulos
, Reinoud D. Stoel
, Roberta Varriale

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Professional

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Abstract

This paper explores the impact of measurement errors on employment contract data and mobility
trends over time, focussing particularly on cross-country comparisons. We compare Italian and Dutch employment data from 2016 to 2021, integrating information from the Labour Force Survey and the Employment Register. Using a multiple-group hidden Markov model, we estimate the impact of measurement errors within each country and facilitate meaningful cross-country comparisons.

Original language	English
Title of host publication	2nd Workshop on Methodologies for Official Statistics
Subtitle of host publication	Proceedings
Editors	Nadia Mignolli
Publisher	Italian National Institute of Statistics (Istat)
Pages	31-44
Number of pages	14
ISBN (Electronic)	9788845821493
ISBN (Print)	9788845821493
Publication status	Published - 2024

Funding

This paper is part of the project DYNANSE that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 864471)

Keywords

hidden Markov model
employment
official statistics
flexible employment

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Measurement of contract type from multi-source dataFinal published version, 5.76 MBLicence: CC BY

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Cite this

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title = "Measurement of contract type from multi-source data: Preliminary results from the Dutch and Italian experience",

abstract = "This paper explores the impact of measurement errors on employment contract data and mobility trends over time, focussing particularly on cross-country comparisons. We compare Italian and Dutch employment data from 2016 to 2021, integrating information from the Labour Force Survey and the Employment Register. Using a multiple-group hidden Markov model, we estimate the impact of measurement errors within each country and facilitate meaningful cross-country comparisons. ",

keywords = "hidden Markov model, employment, official statistics, flexible employment",

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year = "2024",

language = "English",

isbn = "9788845821493",

pages = "31--44",

editor = "Nadia Mignolli",

booktitle = "2nd Workshop on Methodologies for Official Statistics",

publisher = "Italian National Institute of Statistics (Istat)",

}

Measurement of contract type from multi-source data: Preliminary results from the Dutch and Italian experience. / Filipponi, Danila; Garnier Villarreal, Mauricio; Loriga, Silvia et al.
2nd Workshop on Methodologies for Official Statistics: Proceedings. ed. / Nadia Mignolli. Italian National Institute of Statistics (Istat), 2024. p. 31-44.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Professional

TY - GEN

T1 - Measurement of contract type from multi-source data

T2 - Preliminary results from the Dutch and Italian experience

AU - Filipponi, Danila

AU - Garnier Villarreal, Mauricio

AU - Loriga, Silvia

AU - Pavlopoulos, Dimitris

AU - Stoel, Reinoud D.

AU - Varriale, Roberta

PY - 2024

Y1 - 2024

N2 - This paper explores the impact of measurement errors on employment contract data and mobility trends over time, focussing particularly on cross-country comparisons. We compare Italian and Dutch employment data from 2016 to 2021, integrating information from the Labour Force Survey and the Employment Register. Using a multiple-group hidden Markov model, we estimate the impact of measurement errors within each country and facilitate meaningful cross-country comparisons.

AB - This paper explores the impact of measurement errors on employment contract data and mobility trends over time, focussing particularly on cross-country comparisons. We compare Italian and Dutch employment data from 2016 to 2021, integrating information from the Labour Force Survey and the Employment Register. Using a multiple-group hidden Markov model, we estimate the impact of measurement errors within each country and facilitate meaningful cross-country comparisons.

KW - hidden Markov model

KW - employment

KW - official statistics

KW - flexible employment

UR - https://www.istat.it/wp-content/uploads/2024/11/2nd-Workshop-on-methodologies-for-official-statistics-Proceedings.pdf

M3 - Conference contribution

SN - 9788845821493

SP - 31

EP - 44

BT - 2nd Workshop on Methodologies for Official Statistics

A2 - Mignolli, Nadia

PB - Italian National Institute of Statistics (Istat)

ER -

Measurement of contract type from multi-source data: Preliminary results from the Dutch and Italian experience

Abstract

Funding

Keywords

Access to Document

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DYNANSE: Righting the Wrongs, A Life Course Dynamics Approach for Non-Standard Employment (ERC Consolidator Grant project)

Cite this

Measurement of contract type from multi-source data: Preliminary results from the Dutch and Italian experience

Abstract

Funding

Keywords

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Projects

DYNANSE: Righting the Wrongs, A Life Course Dynamics Approach for Non-Standard Employment (ERC Consolidator Grant project)

Cite this