Skip to main content
Log in

An examination of paternal and maternal intergenerational transmission of schooling

  • Original Paper
  • Published:
Journal of Population Economics Aims and scope Submit manuscript

Abstract

More educated parents are observed to have better educated children. However, previous research has found conflicting results regarding the role of fathers and mothers: in most cases, a strong positive paternal effect was found with a negligible maternal effect; in fewer cases, opposite results were found. In this paper, I use a sample of Norwegian twins to evaluate the impact of sample size and sample selection on the estimates’ robustness: results concerning the effect of mother’s education are very sensitive to the sample size, while the selection of the sample seems to be a key to reconciling previous results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Antonovics and Goldberger (2005) criticize that the sample used by Behrman and Rosenzweig (2002) includes very young children (also younger than 18 years old) for whom the final level of education cannot be observed and has been substituted with parents’ expectations. However, De Hann and Plug (2009) propose and compare different methodologies to treat censored observations of the education variable and conclude that using parental expectations if they were realizations seems to deal relatively well with censoring problems.

  2. Register data provide a personal identifier from which we can extract month and year of birth but not the day. Therefore, it is possible that one child could be born just before the stroke of midnight on the last day of the month and his/her own twin just after midnight on the next day and the next month. However, we are probably missing very few and random cases.

  3. Holmlund et al. (2008) selected children aged over 22, Antonovics and Goldberger (2005) from 18 years old, and Behrman and Rosenzweig (2002) include also children younger than 18.

  4. Also, Holmlund et al. (2008) cannot distinguish between monozygotic and dizygotic twins, while the sample employed by Behrman and Rosenzweig (2002) is composed only of monozygotic twins.

  5. Source: Norwegian Standard Classification of Education, Revised (2000), Official Statistics of Norway, C 751, Statistics Norway.

  6. The number of siblings and children is drawn from the register data in the year 1993, which is the first wave available. Therefore, both siblings and children need to be alive in 1993 to be observed and included in the samples.

  7. The omission of this variable may bias the effect of the twins’ schooling, if earnings of the other parent are correlated with twin’s education (e.g., richer men get married with better educated women). On the other hand, the inclusion of observed earnings may bias downwards the effect of the other parent’s schooling, since observed earnings depend on education. Register data contain annual earnings but not hours of work; therefore, a yearly earnings equation has been estimated and residuals included in the model.

  8. The average effect of the twins-parents’ education for the mixture of monozygotic and dizygotic twins is β MIX = 0.5β M + 0.5β D . In this exercise, β D is approximated by the effect estimated with the sample of close siblings.

  9. I draw 1,000 samples of each different size (from 100, 200, ..., to 1,600 families).

  10. I draw 1,000 samples of each different size (from 100, 200, ..., to 1,600 families), from which I select families where both twins are low/high educated.

  11. Black et al. (2005) have a sample of low educated mothers of around 40,000 cases.

References

  • Aaronson D (1998) Using sibling data to estimate the impact of neighborhoods on children’s educational outcomes. J Hum Resour 33(4):915–946

    Article  Google Scholar 

  • Altonji JG, Dunn TA (1996) Using siblings to estimate the effect of school quality on wages. Rev Econ Stat 78(4):665–671

    Article  Google Scholar 

  • Antonovics KL, Goldberger AS (2005) Does increasing women’s schooling raise the schooling of the next generation? Comment Am Econ Rev 95(5):1738–1744

    Article  Google Scholar 

  • Ashenfelter O, Krueger A (1994) Estimates of the economic return to schooling from a new sample of twins. Am Econ Rev 84(5):1157–1173

    Google Scholar 

  • Ashenfelter O, Zimmerman DJ (1997) Estimates of the returns to schooling from sibling data: fathers, sons, and brothers. Rev Econ Stat 79(1):1–9

    Article  Google Scholar 

  • Behrman JR, Rosenzweig MR (2002) Does increasing women’s schooling raise the schooling of the next generation? Am Econ Rev 92(1):323–334

    Article  Google Scholar 

  • Behrman JR, Wolfe BL (1989) Does more schooling make women better nourished and healthier? Adult sibling random and fixed effects for Nicaragua. J Hum Resour 24(4):644–663

    Article  Google Scholar 

  • Behrman JR, Rosenzweig MR, Taubman P (1994) Endowments and the allocation of schooling in the family and in the marriage market. J Polit Econ 102(6):1131–1174

    Article  Google Scholar 

  • Björklund A, Lindahl M, Plug E (2006) The origins of intergenerational associations: lessons from Swedish data. Q J Econ 121(3):999–1028

    Article  Google Scholar 

  • Black SE, Devereux PJ, Salvanes KG (2005) Why the apple doesn’t fall far: understanding intergenerational transmission of human capital. Am Econ Rev 95(1):437–449

    Article  Google Scholar 

  • Bound J, Solon G (1999) Double trouble: on the value of twin-based estimation of the return to schooling. Econ Educ Rev 18(2):169–182

    Article  Google Scholar 

  • De Hann M, Plug E (2009) Estimating intergenerational schooling mobility on censored samples: consequences and remedies. J Appl Econometrics (forthcoming)

  • Ermisch J (2003) An economic analysis of the family. Princeton University Press, Princeton

    Google Scholar 

  • Ermisch J, Francesconi M (2000) Educational choice, families, and young people’s earnings. J Hum Resour 35(1):143–176

    Article  Google Scholar 

  • Griliches Z (1979) Siblings models and data in economics: beginning of a survey. J Polit Econ 87(5):S37–S64

    Article  Google Scholar 

  • Haveman R, Wolfe B (1995) The determinants of children’s attainments. J Econ Lit 33(4):1829–1878

    Google Scholar 

  • Hertz T, Jayasundera T, Piraino P, Selcuk S, Smith N, Verashchagina A (2007) The inheritance of educational inequality: international comparisons and fifty-year trend. BE J Econ Anal Policy 7(2):article 10

  • Holmlund H, Lindahl M, Plug E (2008) Estimating intergenerational schooling effect: a comparison of methods. IZA Discussion Paper 3630

  • Light A, Flores-Lagunes A (2006) Measurement error in schooling: evidence from samples of siblings and identical twins. BE J Econ Anal Policy 5(1):article 14

  • Mittler P (1971) The study of twins. Penguin Books, Baltimore

    Google Scholar 

  • Mowrer ER (1954) Some factors in the affectional adjustment of twins. Am Sociol Rev 19(4):468–471

    Article  Google Scholar 

  • Neumark D (1994) Biases in twin estimates of the return to schooling: a note on recent research. National Bureau of Economic Research Technical Working Paper 158

  • Neumark D, Korenman S (1994) Sources of bias in women’s wage equations: results using sibling data. J Hum Resour 29(2):379–405

    Article  Google Scholar 

  • Plug E (2004) Estimating the effect of mother’s schooling on children’s education using a sample of adoptees. Am Econ Rev 94(1):358–368

    Article  Google Scholar 

  • Schieve LA, Meikle SF, Ferre C, Peterson HB, Jen G (2002) Low and very low birth weight in infants conceived with use of assisted reproductive technology. N Engl J Med 346(10):731–737

    Article  Google Scholar 

  • Stewart EA (2000) Exploring twins: towards a social analysis of twinship. McMillan, London

    Google Scholar 

Download references

Acknowledgements

I thank my Ph.D. supervisor John Ermisch, Rolf Aaberge, Richard Berthoud, Ugo Colombino, Francesco Figari, Helena Holmlund, Cheti Nicoletti, and Steve Pudney for their comments. I am very grateful to two anonymous referees whose precious comments and suggestions improved my work and to Deborah Cobb-Clark for the invaluable advice. The financial support received by the Norwegian Research Council and the European Research Council are gratefully acknowledged. Any error should be attributed to the author.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chiara Pronzato.

Additional information

Responsible editor: Deborah Cobb-Clark

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pronzato, C. An examination of paternal and maternal intergenerational transmission of schooling. J Popul Econ 25, 591–608 (2012). https://doi.org/10.1007/s00148-010-0311-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00148-010-0311-2

Keywords

JEL Classification

Navigation