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Childlessness and Economic Development: A Survey

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Human Capital and Economic Growth

Abstract

This chapter shows why, beyond average fertility, childlessness matters in itself. Childlessness reacts to economic incentives in a peculiar way, which cannot be described by usual economic models of fertility. We make a distinction between childlessness due to poverty and childlessness due to economic opportunities. It allows to better understand the dynamics of childlessness along the history but also why the extensive margin of fertility (childlessness) does not adjust to economic shocks and development policies in the same way as the intensive margin (number of children of mothers). Introducing marriage into this framework provides new insights: higher educational homogamy per se decreases childlessness as it favors marriage. Nevertheless, because educational homogamy is most of the time accompanied by a rise in female education, it may also be associated with increases in childlessness in the data.

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Notes

  1. 1.

    The theoretical frameworks of Gobbi (2013) and Aaronson et al. (2014) focus on this type of childlessness.

  2. 2.

    In technical words, the cost of providing one unit of education to n children is equal to ρe; it does not depend on n. Most of the literature assumes that the cost of providing one unit of education to n children equals ρne. Our assumption does not change our main results qualitatively as it does not prevent the existence of a trade-off between the quality and the quantity of children. See Baudin (2011, 2012) for a generalization.

  3. 3.

    As shown in Jones et al. (2010), because of the log specification of the utility function, a positive non-labor income ensures the negative fertility-income relationship at the aggregate level. As mentioned by them, this could be gifts, lottery income, or bequests.

  4. 4.

    The condition τν > α should be read as follows: for a given ν, the time cost of having children has to be high enough; while for a given τ, the reservation utility in case of childlessness should be high enough.

  5. 5.

    For the sake of space and simplicity, we do not analyze the specification of the model in which investing in human capital is possible, while opportunity-driven childlessness does not exist but poverty-driven childlessness does. Baudin and Stelter (2018b) study such a framework allowing, furthermore, for the existence of agricultural and industrial goods.

  6. 6.

    Obviously, n ≥ 0 and \(n\leq \frac {1}{\tau }\) cannot bind simultaneously.

  7. 7.

    See Baudin et al. (2015) or Greenwood et al. (2003) for representative examples.

  8. 8.

    Gobbi (2018) provides a semi-cooperative model of household decisions to explain how the time to raise children varies endogenously across households of different education levels.

  9. 9.

    We implicitly assume here that the utility function of men is the same as that of women in the previous sections: um(cm, n) with \(u^m(w^m+\Omega ,0)\in \mathbb {R}\) representing the indirect utility of a single man.

  10. 10.

    Hiller and Baudin (2016) and Baudin and Hiller (2019) extensively discuss the interactions between gender differences in preferences and marital behaviors.

  11. 11.

    This effect appears as the movement of the exponential part of the cumulative distribution function of love shocks for men and women.

  12. 12.

    In Eq. (3.6), this effect corresponds to the variations of Δf(wf, wm).

References

  • Aaronson, Daniel, Fabian Lange, and Bhashkar Mazumder. 2014. “Fertility Transitions along the Extensive and Intensive Margins”. American Economic Review 104 (11): 3701–24 (November).

    Article  Google Scholar 

  • Bardet, Jean-Pierre. 1983. Rouen au XVIIeet XVIIIesiècles. Paris: SEDES.

    Google Scholar 

  • Baudin, Thomas. 2011. “Family policies: what does the standard endogenous fertility model tell us?” Journal of Public Economic Theory 13 (4): 555–593.

    Article  Google Scholar 

  • ——. 2012. “The Optimal Trade-Off Between Quality and Quantity with Unknown Number of Survivors.” Mathematical Population Studies 19 (2): 94–113.

    Article  Google Scholar 

  • Baudin, Thomas, David de la Croix, and Paula E. Gobbi. 2015. “Fertility and Childlessness in the US”. American Economic Review 105 (6): 1852–1882.

    Article  Google Scholar 

  • ——. 2019. “Endogenous childlessness and stages of development”. Forthcoming in the Journal of the European Economic Association. https://academic.oup.com/jeea/advance-article-abstract/doi/10.1093/jeea/jvy042/5193476.

  • Baudin, T., and V. Hiller. 2019. “On the Dynamics of Gender Differences in Preferences”. Oxford Economic Papers 71 (3): 503–527.

    Article  Google Scholar 

  • Baudin, Thomas, and Koyel Sarkar. 2018. “Education and childlessness in India”. Université catholique de Louvain.

    Google Scholar 

  • Baudin, Thomas, and Robert Stelter. 2018a. “A history of childlessness in Germany”. mimeo.

    Google Scholar 

  • ——. 2018b. “Rural exodus and fertility in times of industrialization”. mimeo.

    Google Scholar 

  • Becker, Gary S. 1960. “An Economic Analysis of Fertility”. In Demographic and Economic Change in Developed Countries, NBER Chapters, 209–240. National Bureau of Economic Research, Inc.

    Google Scholar 

  • Berrington, Anna. 2017. “Childlessness in the UK”. In Childlessness in Europe: Contexts, Causes, and Consequences, by Michaela Kreyenfeld Dirk Konietzka, pp. 57–76.

    Google Scholar 

  • Bhalotra, Sonia, Atheendar Venkataramani, and Selma Walther. 2018. “Fertility and Labor Market Responses to Reductions in Mortality”. mimeo.

    Google Scholar 

  • Brée, Sandra, and David de la Croix. 2019. “Key Forces Behind the Decline of Fertility - Lessons from Childlessness in Rouen before the Industrial Revolution”. 13 (1): 25–54. Cliometrica.

    Google Scholar 

  • Canning, David, Sangeeta Raja, and Abdo Yazbeck. 2015. Africa’s demographic transition: dividend or disaster? The World Bank.

    Google Scholar 

  • De Vries, Jan. 2008. The Industrious Revolution: Consumer Behavior and the Household Economy, 1650 to the Present. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • de la Croix, David, and Matthias Doepke. 2003. “Inequality and Growth: Why Differential Fertility Matters”. American Economic Review 93 (4): 1091–1103.

    Article  Google Scholar 

  • de la Croix, David, and Omar Licandro. 2015. “The Longevity of Famous People from Hammurabi to Einstein”. Journal of Economic Growth 20:263–303.

    Article  Google Scholar 

  • de la Croix, David, and Aude Pommeret. 2018. “Childbearing Postponement, its Option Value, and the Biological Clock”. CEPR Discussion Paper, Centre for Economic Policy Research.

    Google Scholar 

  • de la Croix, David, Eric B. Schneider, and Jacob Weisdorf. 2019. “Childlessness, celibacy and net fertility in pre-industrial England: the middle-class evolutionary advantage”. Journal of Economic Growth 24 (3): 223–256.

    Article  Google Scholar 

  • de la Croix, David, and Marie Vander Donckt. 2010. “Would Empowering Women Initiate the Demographic Transition in Least Developed Countries?” Journal of Human Capital 4 (2): 85–129.

    Article  Google Scholar 

  • Gobbi, P. E., and M. Goñi. 2017, July. “Childless Aristocrats: Fertility, Inheritance, and Persistent Inequality in Britain (1650–1882)”. CEPR Discussion Paper, Centre for Economic Policy Research.

    Google Scholar 

  • Gobbi, Paula E. 2013. “A model of voluntary childlessness”. Journal of Population Economics 26 (3): 963–982 (July).

    Article  Google Scholar 

  • ——. 2018. “Childcare and commitment within households”. Journal of Economic Theory 176:503–551.

    Article  Google Scholar 

  • Greenwood, Jeremy, Nezih Guner, and John A. Knowles. 2003. “More on Marriage, Fertility, and the Distribution of Income”. International Economic Review 44 (3): 827–862.

    Article  Google Scholar 

  • Habakkuk, H. J. 1950. “Marriage Settlements in the Eighteenth Century”. Transactions of the Royal Historical Society 32:15–30.

    Article  Google Scholar 

  • Hiller, Victor, and Thomas Baudin. 2016. “Cultural transmission and the evolution of gender roles”. Mathematical Social Sciences 84:8–23.

    Article  Google Scholar 

  • Hollingsworth, T. H. 1964. “The Demography of the British Peerage”. Population Studies, vol. Supplement.

    Google Scholar 

  • ——. 2001. “Hollingsworth Genealogical Data on the British Peerage”. Database. Re-digitised from handwritten original index sheets and archived by the Cambridge Group for the History of Population and Social Structure.

    Google Scholar 

  • Hollingsworth, Thomas H. 1965. The Demography of the British Peerage. London: Population Investigation Committee, LSE.

    Google Scholar 

  • Iftikhar, Zainab. 2018. “The effect of norms on fertility and its implications for the quantity-quality tradeoff in Pakistan”. IRES, Université catholique de Louvain.

    Google Scholar 

  • Iyigun, Murat, and Jeanne Lafortune. 2016. “Why wait? A century of education, marriage timing and gender roles.” mimeo.

    Google Scholar 

  • Jones, Larry E., Alice Schoonbroodt, and Michèle Tertilt. 2010. Chapter Fertility Theories: Can They Explain the Negative Fertility-Income Relationship? of Demography and the Economy, edited by John B. Shoven, 43–100. Chicago: University of Chicago Press.

    Google Scholar 

  • Kreyenfeld, Michaela, and Konietzka Dirk. 2017. “Childlessness in East and West Germany: Long-term trends and social disparities, in Kreyenfeld, Michaela, and Dirk Konietzka (Eds.)”. Springer, pp. 97–114.

    Google Scholar 

  • Leridon, Henri. 2008. “A New Estimate of Permanent Sterility by Age: Sterility Defined as the Inability to Conceive”. Population Studies 62 (1): 15–24.

    Article  Google Scholar 

  • Malthus, Thomas. 1807. An Essay on the Principle of Population. Fourth Edition. London: T. Bensley.

    Google Scholar 

  • Poston, Dudley L., and Katherine Trent. 1982. “International Variability in Childlessness: A Descriptive and Analytical Study”. Journal of Family Issues 3 (4): 473–491.

    Article  Google Scholar 

  • Regalia, Ferdinando, and Jose-Victor Rios-Rull. 2001. “What accounts for the increase in the number of single households?” University of Pennsylvania, Mimeo.

    Google Scholar 

  • Rowland, D. T. 2007. “Historical Trends in Childlessness”. Journal of Family Issues 28 (10): 1311–1337.

    Article  Google Scholar 

  • Sadler, Michael Thomas. 1830. The Law of Population – in disproof of the superfecundity of human beings, and developing the real principle of their increase. London: John Murray.

    Google Scholar 

  • Sobotka, T. 2017. “Childlessness in Europe: Reconstructing Long-Term Trends Among Women Born in 1900–1972”. In Childlessness in Europe: Contexts, Causes, and Consequences, 17–53. Cham: Springer.

    Chapter  Google Scholar 

  • Tietze, Christopher. 1957. “Reproductive Span and Rate of Reproduction Among Hutterite Women”. Fertility and Sterility 8 (1): 89–97.

    Article  Google Scholar 

  • Turra, Cassio M, and Bernardo L Queiroz. 2005. “Before it’s too late: demographic transition, labor supply, and social security problems in Brazil”. United Nations Expert Group Meeting on Social and Economic Implications of Changing Population Age Structures. Departamento de Assuntos Econômicos e Sociais, Divisão de População México.

    Google Scholar 

  • Van Bavel, Jan. 2012. “The reversal of gender inequality in education, union formation and fertility in Europe.” Vienna Yearbook of Population Research, pp. 127–154.

    Google Scholar 

  • Van de Walle, Etienne, and Francine Van de Walle. 1972. “Allaitement, stérilité et contraception : les opinions jusqu’au XIXe siècle”. Population 27 (4): 685–701.

    Google Scholar 

  • Wrigley, Edward Anthony, R S Davies, James Oeppen, and Roger Schofield. 1997. English Population History from Family Reconstitution: 1580–1837. Cambridge: Cambridge University Press.

    Book  Google Scholar 

Download references

Acknowledgements

Thomas Baudin acknowledges the financial support of the French National Research Agency through the project ANR-18-CE26-0002.

David de la Croix acknowledges the financial support of the project ARC 15/19-063 of the Belgian French-speaking Community.

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Appendix: Proof of Proposition 3.1

Appendix: Proof of Proposition 3.1

The aim of this appendix is not to determine how people behave for any couple {w,  Ω} but to show that there exists a non-empty state space \(\mathcal {H}\) such that agents behave the way described in Proposition 3.1. To do so, we first solve the maximization problem described in the core of the chapter under the following constraint: \(n\in ]0,\frac {1}{\tau }[\) and e > 0. In this pure interior regime, we get that:

$$\displaystyle \begin{aligned} \begin{array}{rcl} c^*&\displaystyle = &\displaystyle \displaystyle\frac{(1+\tau\nu)w+\rho\pi+\Omega}{1+\alpha+\phi\beta} {} \end{array} \end{aligned} $$
(3.7)
$$\displaystyle \begin{aligned} \begin{array}{rcl} n^*&\displaystyle =&\displaystyle \displaystyle\frac{\alpha}{1+\alpha+\phi\beta}\frac{(1+\tau\nu)w+\rho\pi+\Omega}{\tau w}-\nu \end{array} \end{aligned} $$
(3.8)
$$\displaystyle \begin{aligned} \begin{array}{rcl} e^*&\displaystyle =&\displaystyle \displaystyle\frac{\phi\beta}{1+\alpha+\phi\beta}\frac{(1+\tau\nu)w+\rho\pi+\Omega}{\rho}-\pi {} \end{array} \end{aligned} $$
(3.9)

From this, we can deduce the level of wages under which such an interior regime may exist and prevail. We get that n > 0 ⇔ \(w< \frac {\alpha (\rho \pi +\Omega )}{(1+\phi \beta )\tau \nu -\alpha }\equiv w_n\) ; e > 0 ⇔ \( \frac {(1+\alpha )\rho \pi -\phi \beta \Omega }{\phi \beta (1+\tau \nu )}\equiv w_e\).

Simple computations indicate that wn > we\(\Omega <\frac {(\tau \nu -\alpha )\rho \pi }{\tau \phi \beta \nu }\equiv \hat {\Omega }\). Let’s now assume that \(\Omega <\hat {\Omega }\), we get that ∀w ∈ ]we, wn[, the purely interior regime as described in Eqs. (3.7)–(3.9) prevails. For any w ≥ wn, n = 0 implying e = 0 by definition and so c = w +  Ω.

We now have to analyze cases where w ≤ we. In this situation, we have to solve the maximization problem under the constraint that e = 0 and \(n^*\in ]0,\frac {1}{\tau }[\). In this situation, we obtain that:

$$\displaystyle \begin{aligned} \begin{array}{rcl} c^*&\displaystyle = &\displaystyle \displaystyle \frac{(1+\tau\nu)w+\Omega}{1+\alpha} {} \end{array} \end{aligned} $$
(3.10)
$$\displaystyle \begin{aligned} \begin{array}{rcl} n^*&\displaystyle =&\displaystyle \displaystyle\frac{\alpha}{1+\alpha}\frac{(1+\tau\nu)w+\Omega}{\tau w}-\nu {} \end{array} \end{aligned} $$
(3.11)
$$\displaystyle \begin{aligned} \begin{array}{rcl} e^*&\displaystyle =&\displaystyle 0 {} \end{array} \end{aligned} $$
(3.12)

A simple inspection of Eq. (3.11) indicates that \(n^*\leq \frac {1}{\tau }\)\(w\geq \frac {\alpha \Omega }{1+\tau \nu }\equiv \underline {w}\). A condition of existence for this regime is that \( \underline {w}<w_e\) what is satisfied if \(\Omega >\frac {\rho \pi }{\phi \beta }\equiv \tilde {\Omega }\). Let’s assume that this condition on Ω is fulfilled too. We then get that \(\forall w\in ] \underline {w},w_e]\), the optimal behavior of our representative agent is represented by the set of Eqs. (3.10)–(3.12). The last situation we have to explore is \(w\leq \underline {w}\). In this situation, as \(n^*=\frac {1}{\tau }\), e = 0, we get:

$$\displaystyle \begin{aligned} \begin{array}{rcl} c^*&\displaystyle = &\displaystyle \Omega \\ n^*&\displaystyle =&\displaystyle \frac{1}{\tau} \\ e^*&\displaystyle =&\displaystyle 0 \end{array} \end{aligned} $$

The advised reader would have noticed that we had to assume \(\Omega >\tilde {\Omega }\) and \(\Omega <\hat {\Omega }\). For Proposition 3.1 to be valid, there should exist a state-space allowing the condition \(\tilde {\Omega }<\hat {\Omega }\) to be fulfilled. We obtain that:

$$\displaystyle \begin{aligned} \tilde{\Omega}<\hat{\Omega} \iff \frac{\tau\nu-\alpha}{\tau\nu}<1 \end{aligned}$$

what is always satisfied. We then get that ∀ \(\Omega \in ]\tilde {\Omega },\hat {\Omega }[\), the representative agent behaves as described in Proposition 3.1 what validates this latter.

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Baudin, T., de la Croix, D., Gobbi, P.E. (2019). Childlessness and Economic Development: A Survey. In: Bucci, A., Prettner, K., Prskawetz, A. (eds) Human Capital and Economic Growth. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-21599-6_3

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