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Drivers of the Gender Gap in Pensions : Evidence from EU-SILC and the OECD Pension Model

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  • Lis,Maciej
  • Bonthuis,Boele

Abstract

This paper explores trends and drivers behind the gender gap in pensions (GGP) in Europe, focusing on countries with notionally defined contribution (NDC) schemes: Italy, Latvia, Norway, Poland, and Sweden. Based on current gender gaps on the labor market, the paper relates the progressivity of pension systems and the coverage of child care related spells to the GGP. It shows that NDC countries do not stand out as a group compared to other European countries in terms of pension outcomes for women. Nevertheless, NDC countries differ significantly from one another. Choices of indexation of pensions in payment and survivors? pension options have a strong impact on genderinequalities. Still, labor market differences are the most important driver of the GGP.

Suggested Citation

  • Lis,Maciej & Bonthuis,Boele, 2019. "Drivers of the Gender Gap in Pensions : Evidence from EU-SILC and the OECD Pension Model," Social Protection Discussion Papers and Notes 136540, The World Bank.
    • Handle: RePEc:wbk:hdnspu:136540
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    Cited by:

    1. Angelici, Marta & Del Boca, Daniela & Oggero, Noemi & Profeta, Paola & Rossi, Maria Cristina & Villosio, Claudia, 2022. "Pension information and women’s awareness," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    2. Velma Pijalovic & Lejla Lazovic-Pita & Almir Pestek, 2021. "Pension reform in (F)BH with a special focus on gender issue," Public Sector Economics, Institute of Public Finance, vol. 45(3), pages 305-328.
    3. Barr, Nicholas, 2019. "Gender and family: conceptual overview," LSE Research Online Documents on Economics 101237, London School of Economics and Political Science, LSE Library.
    4. Stefania Basiglio & Noemi Oggero, 2020. "The Effects of Pension Information on Individuals’ Economic Outcomes: A Survey," Economies, MDPI, vol. 8(3), pages 1-16, August.

    More about this item

    Keywords

    Gender and Development; Rural Labor Markets; Labor Markets; Inequality;
    All these keywords.

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