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Mind the gap—German motherhood risks in figures and game theory issues

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Abstract

After childbirth, while parents are delighted at public cash transfers like the German ‘Elterngeld’ (parental leave benefit), the decline in mothers’ earnings capacity is an awkward issue that tends to hover in the background. This paper aims firstly to make a contribution to quantifying West German mothers’ foregone gross earnings that stem from intermittent labor market participation, due to the birth of their first child. Secondly, it discusses behavioral outcomes of the resulting implicit child costs in a dynamic bargaining model of household decisions. The regression results of a Mincer-type wage equation, with German Socio-Economic Panel Data (West) for the period 1984–2005 and correcting for sample selection (Two-step Heckman), indicate considerable wage penalties due to birth-related employment withdrawal. On the closure of the fecund window, mothers suffer gross hourly wage cuts of up to 25%, compared to their equally educated, non-stop full-time employed counterparts, and the total of annualized losses amounts to as much as 201,000 Euros. Although foregone earnings do not matter as much in stable partnerships, they turn out to be a veritable asymmetric specialization risk that can prevent women from having children, if divorce seems sufficiently probable.

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Notes

  1. p. 81.

  2. The expressions ‘partnership’, ‘household’, ‘connection’, ‘commitment’, ‘liaison’ etc. are used synonymously in this paper, since the decisive issue is that of having a common household.

  3. Interestingly, the theory of female endowment advantage, with respect to household work, relies on the assumption of compatibility between pregnancy and nursing, and household tasks (Becker 1981, p. 38).

  4. The multiplicative conjunction of marital gains indicates interdependent individual utilities and serves as an incentive for both partners to maximize total household output. Individual utilities are assumed to be intertemporally additive. See Ott (1995), p. 80-91 for a complete formulation of the model.

  5. The depictions in Figs. 1 and 2 are based on Ott (1995), p. 90.

  6. More specifically, I estimated numerous fixed and random effects model specifications and calculated the resulting wage losses based on the regression results. The findings indicate that calculations based on fixed effects estimations vastly overestimate wage losses, whereas random effects estimations lead to rather conservative simulation results at the lower end of the loss range.

  7. The estimated employment propensity refers only to the domestic background of the individual, not to the job conditions; neither is there an estimation of re-employment propensity which is responsive to the previous work situation.

  8. The marginal effect of the explaining variable j, δPr(y = 1|x)/δxj, illustrates the effect of an infinitesimal variation or, with regard to dummies, of a switch from value “0” to value “1” on employment propensity.

  9. For example, if the preceding year was the first of a full-time spell, it is designated as a current full-time year. By contrast, if the full-time period ended in the year before last, that year belongs to previous full-time employment, whereas the last year is designated as current part-time, out-of-labor-force time or registered joblessness. One single employment status was assigned to each year, depending on the reported monthly status frequencies.

  10. The wage penalties of joblessness resemble those of an otherwise (non-birth) motivated time-out, but they persist longer. Indeed, the joblessness parameters are not statistically significant. To shorten the analysis, I refrain from outlining the parameters of workplace-related variables, most of which are highly significant.

  11. No compulsory school degree plus no vocational degree is labeled “low education”, intermediate secondary school plus vocational training is denoted “medium education” and matriculation standard plus university degree, as “higher education”.

  12. As mentioned above, since graduates are under-represented amongst employment sample mothers, this leads to an overestimation of their postnatal re-employment propensities, by underestimating the resulting wage losses of graduate women.

References

  • Adserà A (2005) Vanishing children: from high unemployment to low fertility in developed countries. American Economic Review 95(2):189–193

    Article  Google Scholar 

  • Beblo M, Wolf E (2000) How much does a year off cost? Estimating the wage effects of employment breaks and part-time periods, Discussion Paper, No. 00-69, ZEW, Mannheim

  • Beblo M, Wolf E (2002) Die Folgekosten von Erwerbsunterbrechungen, DIW-Vierteljahreshefte zur Wirtschaftsforschung. Band 71(1):83–94

    Google Scholar 

  • Beblo M, Wolf E (2003) Sind es die Erwerbsunterbrechungen? Ein Erklärungsbeitrag zum Lohnunterschied zwischen Frauen und Männern in Deutschland, Mitteilungen zur Arbeitsmarkt- und Berufsforschung, Nr. 4, S. 560-572, Nürnberg

  • Becker GS (1965) A theory of the allocation of time. Economic Journal 75:493–517

    Article  Google Scholar 

  • Becker GS (1976) The economic approach to human behavior. University of Chicago Press, Chicago

    Google Scholar 

  • Becker GS (1981) A treatise on the family. Harvard University Press, Cambridge

    Google Scholar 

  • Galler HP (1991) Opportunitätskosten der Entscheidung für Familie und Haushalt. In: Gräbe S (ed) Der private Haushalt als Wirtschaftsfaktor. Verlag Campus, Frankfurt am Main

    Google Scholar 

  • Görlich D, de Grip A (2007) Human capital depreciation during family-related career interruptions in male and female occupations. Kiel Working Paper, No. 1379, IfW, Kiel

  • Greene WH (2000) Econometric analysis, 4th edn. Prentice Hall International, London

    Google Scholar 

  • Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47:153–161

    Article  Google Scholar 

  • Helberger C (1984) Humankapital, Berufsbiographie und die Einkommen von Männern und Frauen, Arbeitspapiere des SFB 3 “Mikroanalytische Grundlagen der Gesellschaftspolitik ”. Nr. 129, J. W. Goethe-Universität Frankfurt und Universität Mannheim, Frankfurt am Main/Mannheim

  • Jenkins (2008) Marital splits and income changes over the longer term, Institute for Social and Economic Research (ISER) Working Paper Series, No. 2008-07, February 2008

  • Licht G, Steiner V (1991a) Stichprobenselektion, unbeobachtete Heterogenität und Humankapitaleffekte bei der Schätzung von Lohnfunktionen mit Paneldaten, in: U. Rendtel, G. Wagner (Hrsg.): Lebenslagen im Wandel: Zur Einkommensdynamik in Deutschland seit 1984, Projektgruppe „Das sozio-ökonomische Panel“im DIW Berlin, Sozio-ökonomische Daten und Analysen für die Bundesrepublik Deutschland, Band 4, Verlag Campus, Frankfurt/New York, S. 100-134.

  • Licht G, Steiner V (1991b) Male-Female Wage Differentials, Labor Force Attachment, and Human-Capital Accumulation in Germany, Volkswirtschaftliche Diskussionsreihe des Instituts für Volkswirtschaftslehre, Beitrag Nr. 65, Universität Augsburg, Augsburg

  • Licht G, Steiner V (1992) Individuelle Einkommensdynamik und Humankapitaleffekte nach Erwerbsunterbrechungen. Jahrbuch für Nationalökonomie und Statistik 209(3–4):241–265

    Google Scholar 

  • Manser M, Brown M (1980) Marriage and household decision-making: a bargaining analysis. International Economic Review 21:31–44

    Article  Google Scholar 

  • McElroy MB, Horney MJ (1981) Nash-bargained household decisions: toward a generalization of the theory of demand. International Economic Review 22:333–49

    Article  Google Scholar 

  • Mincer J, Polachek S (1974) Family investments in human capital: earnings of women. Journal of Political Economy 82(2):76–108

    Article  Google Scholar 

  • Mincer J, Ofek H (1982) Interrupted work careers: depreciation and restoration of human capital. The Journal of Human Resources 17(1):2–24

    Article  Google Scholar 

  • Ott N (1992) Intrafamily bargaining and household decisions. Verlag Springer, Berlin

    Google Scholar 

  • Ott N (1995) Fertility and division of work in the family—a game theoretic model of household decisions. In: Kuiper E, Sap J (eds), Out of the Margin. Feminist Perspectives on economics, pp 80–99

  • Statistisches Bundesamt (2009) Kinderlosigkeit nimmt zu, Pressemitteilung vom 29.07.2009, Berlin/Wiesbaden

  • Statistisches Bundesamt (2010a) Home/Population/Births and deaths/Total fertility rate: http://www.destatis.de/jetspeed/portal/cms/Sites/destatis/Internet/DE/Content/Statistiken/Bevoelkerung/GeburtenSterbefaelle/Tabellen/Content50/GeburtenZiffer,templateId=renderPrint.psml

  • Statistisches Bundesamt (2010b) Babys in den neuen Bundesländern haben jüngere Mütter, Pressemitteilung Nr. 445 vom 02.12.2010, Wiesbaden

  • Ziefle A (2004) Die individuellen Kosten des Erziehungsurlaubs: Eine empirische Analyse der kurz- und längerfristigen Folgen für den Karriereverlauf von Frauen. Kölner Zeitschrift für Soziologie und Sozialpsychologie 56(2):213–231

    Article  Google Scholar 

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Correspondence to Christina Boll.

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Boll, C. Mind the gap—German motherhood risks in figures and game theory issues. Int Econ Econ Policy 8, 363–382 (2011). https://doi.org/10.1007/s10368-011-0188-x

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