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Fertility Analysis with EU-SILC: A Quantification of Measurement Bias

Author

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  • Angela Greulich

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, INED - Institut national d'études démographiques)

  • Aurélien Dasre

    (CRESPPA - Centre de recherches sociologiques et politiques de Paris - UP8 - Université Paris 8 Vincennes-Saint-Denis - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique, INED - Institut national d'études démographiques)

Abstract

The European Union Statistics on Income and Living Condition (EU-SILC) database is increasingly used in demographic analysis, due to its large country coverage, the availability of harmonized socioeconomic measures and the possibility to merge partners. However, so far there exists no comprehensive analysis of the representativeness of fertility behavior reported by EU-SILC. This paper quantifies the quality of fertility measures in EU-SILC. We compare several fertility measures obtained with EU-SILC to unbiased measures from the Human Fertility Database (HFD) for several European countries, by applying a longitudinal as well as a cross-sectional perspective. We show that EU-SILC underestimates completed fertility mainly because the questionnaire does not ask about the number of children ever born to a woman/man, and we identify significant socioeconomic differentials in this measurement bias. Measures of periodic fertility behavior are biased downward mainly due to attrition, while births of order one for ages 20-29 are particularly underreported. However, we find no evidence for socio-economic differentials in attrition. Our results suggest that for the majority of European countries, Eu-SILC can be used for demographic analysis when respecting the measures of precaution mentioned in this article. These contain for example applying a retrospective approach and differentiating by rotation groups when calculating aggregate measures of periodic fertility differentiated by socio-economic groups.

Suggested Citation

  • Angela Greulich & Aurélien Dasre, 2017. "Fertility Analysis with EU-SILC: A Quantification of Measurement Bias," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01440519, HAL.
    • Handle: RePEc:hal:cesptp:halshs-01440519
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01440519
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    9. Michael S. Rendall & Angela Greulich, 2016. "Multiple imputation for demographic hazard models with left-censored predictor variables: Application to employment duration and fertility in the EU-SILC," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(38), pages 1135-1148.
    10. Pau Baizan & Bruno Arpino & Carlos Eric Delclòs, 2016. "The Effect of Gender Policies on Fertility: The Moderating Role of Education and Normative Context," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 1-30, February.
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    More about this item

    Keywords

    data quality; Fertility; EU-SILC; income and living conditions;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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