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Life-cycle incidence of family policy measures in Germany: Evidence from a dynamic microsimulation model

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  • Bonin, Holger
  • Reuss, Karsten
  • Stichnoth, Holger

Abstract

This paper quantifies the life-cycle incidence of key family policy measures in Germany. The analysis is based on a novel dynamic microsimulation model that combines simulated family life-cycles for a base population from the 2009 wave of the German Socio-Economic Panel (SOEP) with a comprehensive tax-benefit model. The results indicate that households in Germany benefit considerably from family- and marriage-related transfers, yet also reveal substantial variation behind the population average. Moreover, it is shown that some measures, such as income tax splitting, may make individuals in fact worse off, in financial terms, over the long course, as a result of negative labour supply incentives which are reinforced through detrimental effects on human capital accumulation.

Suggested Citation

  • Bonin, Holger & Reuss, Karsten & Stichnoth, Holger, 2015. "Life-cycle incidence of family policy measures in Germany: Evidence from a dynamic microsimulation model," ZEW Discussion Papers 15-036, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:15036
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    References listed on IDEAS

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    1. Holger Bonin & Reinhold Schnabel & Holger Stichnoth, 2014. "Zur Effizienz der ehe- und familienbezogenen Leistungen in Deutschland im Hinblick auf soziale Sicherungs- und Beschäftigungsziele," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 83(1), pages 29-48.
    2. Bonin, Holger & Pfeiffer, Friedhelm & Reuß, Karsten & Stichnoth, Holger, 2013. "Mikrosimulation ausgewählter ehe- und familienbezogener Leistungen im Lebenszyklus: Gutachten für die Prognos AG. Forschungsbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 111441, September.
    3. Nelissen, Jan H. M., 1998. "Annual versus lifetime income redistribution by social security," Journal of Public Economics, Elsevier, vol. 68(2), pages 223-249, May.
    4. Peter Levell & Jonathan Shaw, 2016. "Constructing Full Adult Life-cycles from Short Panels," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 5-40.
    5. Colombo, Giulia, 2008. "Linking CGE and Microsimulation Models: A Comparison of Different Approaches," ZEW Discussion Papers 08-054, ZEW - Leibniz Centre for European Economic Research.
    6. Moshe Hazan & Hosny Zoabi, 2015. "Do Highly Educated Women Choose Smaller Families?," Economic Journal, Royal Economic Society, vol. 125(587), pages 1191-1226, September.
    7. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    8. Audra J. Bowlus & Jean-Marc Robin, 2012. "An International Comparison Of Lifetime Inequality: How Continental Europe Resembles North America," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1236-1262, December.
    9. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    10. Justin McCrary & Heather Royer, 2011. "The Effect of Female Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth," American Economic Review, American Economic Association, vol. 101(1), pages 158-195, February.
    11. Immervoll, Herwig & Lindstrom, Klaw & Mustonen, Esko & Viitamaki, Heikki, 2005. "Static data ‘ageing’ techniques: accounting for population changes in tax-benefit microsimulation models," EUROMOD Working Papers EM7/05, EUROMOD at the Institute for Social and Economic Research.
    12. Martin Werding & Herbert Hofmann, 2006. "The fiscal balance of a child in the German tax and social system," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(02), pages 28-36, January.
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    Cited by:

    1. Glaubitz, Rick & Harnack-Eber, Astrid & Wetter, Miriam, 2022. "The gender gap in lifetime earnings: The role of parenthood," Discussion Papers 2022/3, Free University Berlin, School of Business & Economics.
    2. Rick Glaubitz & Astrid Harnack-Eber & Miriam Wetter, 2022. "The Gender Gap in Lifetime Earnings: The Role of Parenthood," Discussion Papers of DIW Berlin 2001, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    Dynamic Microsimulation; Family Policy; Germany;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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