New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience

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

New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience

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

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper investigates the effect of measurement error on the measurement
of temporary employment as well as the transition rates in and out of temporary employment
over time in Italy and the Netherlands.We conduct a comparative analysis
of Italian and Dutch employment data spanning from 2017 to 2019, linking information
from the Labour Force Survey and the Employment Register. For this purpose,
we use a multiple-group Hidden Markov Model with two indicators for the employment
contract type that accounts for both random and systematic measurement
error.

Original language	English
Title of host publication	Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024)
Subtitle of host publication	Statistical Analysis of Complex Economic Data: Recent Developments and Applications
Place of Publication	Firenze
Publisher	Casa Editrice Bonechi
Pages	166-169
ISBN (Print)	978-88-476-2950-9
Publication status	Published - 1 Aug 2024

Keywords

hidden Markov model
register data
employment
measurement error

Persistent URL (handle)

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DYNANSE: Righting the Wrongs, A Life Course Dynamics Approach for Non-Standard Employment (ERC Consolidator Grant project)
Pavlopoulos, D., Garnier Villarreal, M., Bouwhuis, S., Csorba, I., Chowdhury, T. M., Eberlein, L., Pankowska, P. K., Pankowska, P. K., Eberlein, L., Chowdhury, T. M., Steenks, K. & Jiménez Henríquez, M. J.
1/09/20 → 28/02/26
Project: Research

Cite this

Varriale, R., Filipponi, D., Garnier Villarreal, M., Pavlopoulos, D., & Stoel, R. D. (2024). New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience. In Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024) : Statistical Analysis of Complex Economic Data: Recent Developments and Applications (pp. 166-169). Casa Editrice Bonechi.

Varriale, Roberta ; Filipponi, Danila ; Garnier Villarreal, Mauricio et al. / New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience. Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024) : Statistical Analysis of Complex Economic Data: Recent Developments and Applications. Firenze : Casa Editrice Bonechi, 2024. pp. 166-169

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abstract = "This paper investigates the effect of measurement error on the measurementof temporary employment as well as the transition rates in and out of temporary employmentover time in Italy and the Netherlands.We conduct a comparative analysisof Italian and Dutch employment data spanning from 2017 to 2019, linking informationfrom the Labour Force Survey and the Employment Register. For this purpose,we use a multiple-group Hidden Markov Model with two indicators for the employmentcontract type that accounts for both random and systematic measurementerror.",

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Varriale, R, Filipponi, D, Garnier Villarreal, M , Pavlopoulos, D & Stoel, RD 2024, New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience. in Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024) : Statistical Analysis of Complex Economic Data: Recent Developments and Applications. Casa Editrice Bonechi, Firenze, pp. 166-169.

New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience. / Varriale, Roberta; Filipponi, Danila; Garnier Villarreal, Mauricio et al.
Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024) : Statistical Analysis of Complex Economic Data: Recent Developments and Applications. Firenze: Casa Editrice Bonechi, 2024. p. 166-169.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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T1 - New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience

AU - Varriale, Roberta

AU - Filipponi, Danila

AU - Garnier Villarreal, Mauricio

AU - Pavlopoulos, Dimitris

AU - Stoel, Reinoud D.

PY - 2024/8/1

Y1 - 2024/8/1

N2 - This paper investigates the effect of measurement error on the measurementof temporary employment as well as the transition rates in and out of temporary employmentover time in Italy and the Netherlands.We conduct a comparative analysisof Italian and Dutch employment data spanning from 2017 to 2019, linking informationfrom the Labour Force Survey and the Employment Register. For this purpose,we use a multiple-group Hidden Markov Model with two indicators for the employmentcontract type that accounts for both random and systematic measurementerror.

AB - This paper investigates the effect of measurement error on the measurementof temporary employment as well as the transition rates in and out of temporary employmentover time in Italy and the Netherlands.We conduct a comparative analysisof Italian and Dutch employment data spanning from 2017 to 2019, linking informationfrom the Labour Force Survey and the Employment Register. For this purpose,we use a multiple-group Hidden Markov Model with two indicators for the employmentcontract type that accounts for both random and systematic measurementerror.

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KW - register data

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KW - measurement error

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BT - Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024)

PB - Casa Editrice Bonechi

CY - Firenze

ER -

Varriale R, Filipponi D, Garnier Villarreal M , Pavlopoulos D, Stoel RD. New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience. In Book of Short Papers 2nd Italian Conference on Economic Statistics (ICES 2024) : Statistical Analysis of Complex Economic Data: Recent Developments and Applications. Firenze: Casa Editrice Bonechi. 2024. p. 166-169

New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience

Abstract

Keywords

Persistent URL (handle)

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Projects

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

Cite this