Do fertility transitions influence infant mortality declines? Evidence from early modern Germany

Abstract

The timing and sequencing of fertility transitions and early-life mortality declines in historical Western societies indicate that reductions in sibship (number of siblings) may have contributed to improvements in infant health. Surprisingly, however, this demographic relationship has received little attention in empirical research. We outline the difficulties associated with establishing the effect of sibship on infant mortality and discuss the inherent bias associated with conventional empirical approaches. We offer a solution that permits an empirical test of this relationship while accounting for reverse causality and potential omitted variable bias. Our approach is illustrated by evaluating the causal impact of family size on infant mortality using genealogical data from 13 German parishes spanning the sixteenth, seventeenth, eighteenth, and nineteenth centuries. Overall, our findings do not support the hypothesis that declining fertility led to increased infant survival probabilities in historical populations.

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Notes

  1. 1.

    All statistics quoted here can be found in Knodel (1974).

  2. 2.

    For an account of changes in German economic conditions and living standards, see Baten (2003).

  3. 3.

    This measure indicates the ratio of fertility compared to that of Hutterite women (the population with the highest fertility levels on record), adjusted for age distribution within childbearing ages (Knodel 2002).

  4. 4.

    Our results are robust to using the probit model.

  5. 5.

    Once again, we obtain almost identical results when using a Probit IV estimator in the spirit of Rivers and Vuong (1988). We have also considered generalized additive models (Wood 2000) which allow for nonlinear effects of sibship, including in the presence of endogeneity (Marra and Radice 2011). We reach the same conclusions as for the linear effect models.

  6. 6.

    We thank a referee for this valuable suggestion.

  7. 7.

    We have also performed an equivalent analysis with the elapsed time between the first and second births. This variable fails the instrument validity test.

References

  1. Agüero JM, Marks MS (2011) Motherhood and female labor supply in the developing world. J Hum Resour 46(4):800–826

    Article  Google Scholar 

  2. Baten J (2003) Anthropometrics, consumption, and leisure: the standard of living. In: Ogilvie S, Overy R (eds) Germany: a new social and economic history, Vol III: 1800–1989. Edward Arnold, London, pp 383–422

    Google Scholar 

  3. Becker GS, Lewis HG (1973) On the interaction between the quantity and quality of children. J Polit Econ 81(2):279–288

    Article  Google Scholar 

  4. Bengtsson T (1999) The vulnerable child. economic insecurity and child mortality in pre-industrial Sweden: a case study of Västanfors, 1757–1850. Eur J Popul 15(2):117–151

    Article  Google Scholar 

  5. Black SE, Devereux PJ, Salvanes KG (2005) The more the merrier? The effect of family size and birth order on children’SEducation. Q J Econ 120(2):669–700

    Google Scholar 

  6. Booth AL, Kee HJ (2009) Birth order matters: the effect of family size and birth order on educational attainment. J Popul Econ 22(2):367–397

    Article  Google Scholar 

  7. Brown JC, Guinnane TW (2001) The fertility transition in Bavaria. Yale University Economic Growth Center discussion paper no 821

  8. Buck G, Sever L, Batt R, Mendola P (1997) Life-style factors and female infertility. Epidemiology 435–441

  9. Cutler D, Miller G (2005) The role of public health improvements in health advances: the twentieth-century United States. Demography 42(1):1–22

    Article  Google Scholar 

  10. Delaney L, McGovern ME, Smith JP (2011) From Angela’s ashes to the celtic tiger: early life conditions and adult health in Ireland. J Health Econ 30(1):1–10

    Article  Google Scholar 

  11. Doepke M (2005) Child mortality and fertility decline: does the Barro-Becker model fit the facts? J Popul Econ 18(2):337–366

    Article  Google Scholar 

  12. Fernihough A, McGovern ME (2013) Do fertility transitions influence infant mortality declines? Evidence from early modern Germany. Program on the Global Demography of Aging, working paper no. 10513

  13. Floud R, Fogel RW, Harris B, Hong SC (2011) The changing body: health, nutrition, and human development in the Western World since 1700. Cambridge University Press, Cambridge

    Book  Google Scholar 

  14. Frijters P, Hatton TJ, Martin RM, Shields MA (2010) Childhood economic conditions and length of life: evidence from the UK Boyd-Orr cohort, 1937–2005. J Health Econ 29(1):39–47

    Article  Google Scholar 

  15. Galloway PR, Lee RD, Hammel EA (1998) Infant mortality and the fertility transition: macro evidence from Europe and new findings from Prussia. In: Cohen B, Montgomery M R (eds) From death to birth: mortality decline and reproductive change. National Academy, Washington

    Google Scholar 

  16. Joffe M, Barnes I (2000) Do parental factors affect male and female fertility? Epidemiology 11(6):700–705

    Article  Google Scholar 

  17. Klemp M, Weisdorf J (2012) Fecundity, fertility and family reconstitution data: the child quantity-quality trade-off revisited, Centre for Economic Policy Research discussion paper no. 9121

  18. Knodel J (1974) The decline of fertility in Germany, 1871–1939. Princeton University Press, Princeton

    Google Scholar 

  19. Knodel J (2002) Demographic behavior in the past. Cambridge University Press, Cambridge

    Google Scholar 

  20. Knodel J, Hermalin AI (1984) Effects of birth rank, maternal age, birth interval, and sibship size on infant and child mortality: evidence from 18th and 19th century reproductive histories. Am J Public Health 74(10):1098

    Article  Google Scholar 

  21. Marra G, Radice R (2011) A flexible instrumental variable approach. Stat Mod 11(6):581–603

    Article  Google Scholar 

  22. Modin B (2002) Birth order and mortality: ALife-long follow-up of 14,200 boys and girls born in early 20th century Sweden. Soc Sci Med 54(7):1051–1064

    Article  Google Scholar 

  23. Mokyr J (2000) Why “more work for mother?” Knowledge and household behavior, 1870–1945. J Econ Hist 60(1):1–41

    Article  Google Scholar 

  24. Rivers D, Vuong Q H (1988) Limited information estimators and exogeneity tests for simultaneous probit models. J Econometrics 39(3):347–366

    Article  Google Scholar 

  25. Strulik H, Vollmer S (2014) The fertility transition around the world. J Popul Econ. doi:10.1007/s00148-013-0496-2

  26. Wood SN (2000) Modelling and smoothing parameter estimation with multiple quadratic penalties. J R Stat Sco B Met 62(2):413–428

    Article  Google Scholar 

  27. Woods R (2000) The demography of Victorian England and Wales, vol 35. Cambridge University Press, Cambridge

    Book  Google Scholar 

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Acknowledgments

Mark McGovern acknowledges funding from the Program on the Global Demography of Aging, which receives funding from the National Institute on Aging, grant no. 1 P30 AG024409-09. Alan Fernihough’s research is funded by the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 249546. We are grateful to Dan Anderberg, Kevin Denny, Paul Devereux, Cormac Ó Gráda, George Alter, Tommy Bengtsson, two anonymous referees, and seminar participants at Harvard and the 2013 Edinburgh FRESH meeting for helpful comments and advice.

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Correspondence to Mark E. McGovern.

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Responsible editor: Junsen Zhang

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Fernihough, A., McGovern, M.E. Do fertility transitions influence infant mortality declines? Evidence from early modern Germany. J Popul Econ 27, 1145–1163 (2014). https://doi.org/10.1007/s00148-014-0506-z

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Keywords

  • Demographic transition
  • Family size
  • Early life conditions
  • Infant mortality

JEL Classifications

  • D13
  • I15
  • J13
  • O12