HOW "REAL" IS MOBILITY FROM TEMPORARY TO PERMANENT EMPLOYMENT IN ITALY? A FOCUS ON MEASUREMENT ERROR

Authors

  • Roberta Varriale Sapienza University of Rome
  • Danila Filipponi Italian national institute of statistics, ISTAT
  • Mauricio Garnier-Villarreal Vrije Universiteit Amsterdam
  • Dimitris Pavlopoulos Vrije Universiteit Amsterdam

DOI:

https://doi.org/10.26398/IJAS.272

Keywords:

Hidden Markov model, Latent variable model, Multi-source data, Employment career, Measurement error

Abstract

The aim of this paper is to study the effect of measurement error on mobility between different employment types in Italy. For this purpose, we apply a hidden Markov model with two independent indicators for the employment category (permanent contract, temporary contract, self-employed, not employed). The model takes into account that both sources may not be error-free as well as that measurement error may be correlated over time. The two indicators come from ISTAT administrative data and the Labour Force Survey from 2017 to 2021, linked at the individual level. The results show that neither source can be considered error-free and that measurement error severely biases mobility between employment states.

Author Biographies

Mauricio Garnier-Villarreal, Vrije Universiteit Amsterdam



Dimitris Pavlopoulos, Vrije Universiteit Amsterdam



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Published

2024-04-17

How to Cite

Varriale, R., Filipponi, D., Garnier-Villarreal, M. ., & Pavlopoulos, D. . (2024). HOW "REAL" IS MOBILITY FROM TEMPORARY TO PERMANENT EMPLOYMENT IN ITALY? A FOCUS ON MEASUREMENT ERROR. Statistica Applicata - Italian Journal of Applied Statistics. https://doi.org/10.26398/IJAS.272

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