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The costs of motherhood: an analysis using matching estimators

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  • Marianne Simonsen
  • Lars Skipper

Abstract

We estimate the effect of motherhood on wages using matching. We distinguish between net and direct effects. The net effect includes the total wage costs, whereas the direct represents the causal effect. Since covariates are likely affected by motherhood, the latter effect is not immediately uncovered. We therefore implement two strategies: first, we confine the analysis to consider sector‐specific treatment effects; second, we impose additive separability on the outcome equation. We find negative net effects that vary little with sector. The direct effect is small and negative in the public sector and insignificant in the private sector. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • Marianne Simonsen & Lars Skipper, 2006. "The costs of motherhood: an analysis using matching estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 919-934, November.
    • Handle: RePEc:wly:japmet:v:21:y:2006:i:7:p:919-934
    DOI: 10.1002/jae.893
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    References listed on IDEAS

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    1. Shelley Phipps & Peter Burton & Lynn Lethbridge, 2001. "In and out of the labour market: long‐term income consequences of child‐related interruptions to women's paid work," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(2), pages 411-429, May.
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    7. Marianne Simonsen & Lars Skipper, 2004. "Identifying Direct and Indirect Effects. Estimating th Costs of Motherhood Using Matching Estimators," Discussion Papers 03-023, Stanford Institute for Economic Policy Research.
    8. Waldfogel, Jane, 1998. "The Family Gap for Young Women in the United States and Britain: Can Maternity Leave Make a Difference?," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 505-545, July.
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    Cited by:

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    2. Gafni Dalit & Siniver Erez, 2018. "The Motherhood Penalty: Is It a Wage-Dependent Family Decision?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(4), pages 1-18, October.
    3. Eduardo Lora, 2020. "Empleo femenino en las ciudades colombianas: un método de descripción estadística," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 84(4), pages 131-179.
    4. Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
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    6. Eriksen, Tine L. Mundbjerg & Gaulke, Amanda & Skipper, Niels & Svensson, Jannet, 2021. "The impact of childhood health shocks on parental labor supply," Journal of Health Economics, Elsevier, vol. 78(C).
    7. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    8. Ma, Xinxin, 2022. "Parenthood and the gender wage gap in urban China," Journal of Asian Economics, Elsevier, vol. 80(C).
    9. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    10. Bach, Nicoline Josephine & Rasmussen, Astrid Würtz & Smith, Nina, 2025. "Motherhood on Campus: Timing Childbirth during University Studies," IZA Discussion Papers 17603, IZA Network @ LISER.
    11. Ewa Cukrowska-Torzewska & Anna Matysiak, 2018. "The Motherhood Wage Penalty: A Meta-Analysis," VID Working Papers 1808, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.

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