Abstract
In this chapter we describe the process of fertility postponement initiated in Spain in the mid-1970s using a dynamic model that considers the interaction of four main factors. Rising economic uncertainty and the expansion of higher education provide the original impulse which is later amplified by the feedback generated via social interaction as young men and women start imitating the behavior of their peers and friends. As the pressure to conform to an early family formation standard is reduced, the postponement process gains momentum. This multiplier effect explains a substantial part of the observed trend, but its pace and extent also depend on the resistance exerted by social norms. Our model tries to capture the dynamic mechanism by which norms shape behaviors and behaviors shape norms, in a process of mutual dependence. This feedback loop between individual actions and aggregated outcomes allows us to bridge the micro and macro levels of analysis and it proves to be a key element in the explanation of the massive and ongoing transformation of fertility patterns in Spain in the last decades.
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Notes
- 1.
According to Becker (1981) an income rise will not only increase the demand for children, but also the indirect costs of forming a family; i.e. the potential income and career opportunities that parents have to give up in order to spend time with their children. An income effect is observed when the demand for children is positively affected by an increase in resources, and a substitution effect is observed when the effect is negative.
- 2.
As we model the effect of labor market exits exogenously, we need a set of initial probabilities that is net of the effect of unemployment to avoid an overestimation of this effect. Unfortunately, as the dataset we use for the estimation of the original probabilities does not contain information on the employment histories of the interviewees, we have to provide a rough estimate of the effect of unemployment. As we noted in Sect. 14.2.5, Spain did not have high levels of unemployment until the mid-1980s, which means that the effect of unemployment on our cohorts born in 1940–1960 would have been relatively mild. We assume a decreasing effect by age: compared with the original probabilities, the final probabilities are about 15 % higher at age 15, only around 5 % higher at age 30, and about the same by the end of the reproductive period at age 45, as shown in Fig. 14.7.
- 3.
All these simulations were carried out with the following values of the global parameters described in Table 14.2: recurrence in unemployment σ = 70 %, maximum network size ν = 20, and fertility rate for parity 1+ f2 = 0. 15.
References
Adsera, A. (2004). Changing fertility rates in developed countries. The impact of labor market institutions. Journal of Population Economics, 17(1), 17–43.
Ahn, N., & Mira, P. (2001). Job bust, baby bust?: Evidence from Spain. Journal of Population Economics, 14(3), 505–521.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Berlin/Heidelberg: Springer.
Allignol, A., Beyersmann, J., & Schumacher, M. (2008). mvna: An R package for the Nelson-Aalen estimator in multistate models. R News, 8(2), 48–50.
Aparicio Diaz, B., Fent, T., Prskawetz, A., & Bernardi, L. (2011). Transition to parenthood: The role of social interaction and endogenous networks. Demography, 48(2), 559–579.
Baizán, P. (2006). El efecto del empleo, el paro y los contratos temporales en la baja fecundidad española de los años 1990. Revista Española de Investigaciones Sociológicas, 115(1), 223–253.
Balbo, N., & Barban, N. (2014). Does fertility behavior spread among friends? American Sociological Review, 79(3), 412–431.
Balbo, N., & Mills, M. (2011). The influence of the family network on the realisation of fertility intentions. Vienna Yearbook of Population Research, 9, 179–205.
Becker, G. S. (1981). A treatise on the family. Cambridge: Harvard University Press.
Beyersmann, J., Allignol, A., & Schumacher, M. (2011). Competing risks and multistate models with R. New York: Springer
Bijak, J., Hilton, J., Silverman, E., & Cao, V. D. (2013). Reforging the wedding ring: Exploring a semi-artificial model of population for the United Kingdom with Gaussian process emulators. Demographic Research, 29, 729–766.
Billari, F. C., Goisis, A., Liefbroer, A. C., Settersten, R. A., Aassve, A., Hagestad, G., & Spéder, Z. (2011). Social age deadlines for the childbearing of women and men. Human Reproduction, 26(3), 616–622.
Bongaarts, J. (2001). Fertility and reproductive preferences in post-transitional societies. Population and Development Review, 27, 260–281.
Bourdieu, P., & Wacquant, L. J. (1992). An invitation to reflexive sociology. Chicago: University of Chicago press.
Carreras, A., & Tafunell, X. (Eds.) (2006). Estadísticas históricas de España: Siglos XIX–XX (2nd ed.). Bilbao: Fundación BBVA.
Casterline, J. B. (2001). Diffusion processes and fertility transition: Introduction. In J. B. Casterline (Ed.), Diffusion processes and fertility transition: Selected perspectives (Chapter 1, pp. 1–38). Washington, DC: National Academy Press.
Castro-Martín, T., & Martín-García, T. (2013). The fertility gap in Spain: Late parenthood, few children and unfulfilled reproductive desires. In G. Esping-Andersen (Ed.), The fertility gap in Europe: Singularities of the Spanish case (Number 36 in Social studies collection, Chapter 2, pp. 45–81). Barcelona: “la Caixa” Welfare Projects.
Coale, A. J. (1973). The demographic transition reconsidered. In Proceedings of the International Population Conference 1973, Liège: Ordina Editions.
Entwisle, B., Rindfuss, R. R., Guilkey, D. K., Chamratrithirong, A., Curran, S. R., & Sawangdee, Y. (1996). Community and contraceptive choice in rural Thailand: A case study of Nang Rong. Demography, 33(1), 1–11.
Esping-Andersen, G., & Billari, F. C. (2015). Re-theorizing family demographics. Population and Development Review, 41(1), 1–31.
Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. Berkeley: University of California Press.
Goldstein, J., Lutz, W., & Testa, M. R. (2003). The emergence of sub-replacement family size ideals in Europe. Population Research and Policy Review, 22(5–6), 479–496.
HMD (2015). Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at www.mortality.org or www.humanmortality.de. (Data downloaded in May 2015).
INE (2015). Instituto Nacional de Estadística (Spanish Statistical Office). http://www.ine.es/. (Data downloaded in March-June 2015).
Knaus, J. (2013). snowfall: Easier cluster computing (based on snow). R package version 1.84–6.
Kohler, H.-P. (1997). Learning in social networks and contraceptive choice. Demography, 34(3), 369–383.
Kohler, H.-P., Behrman, J. R., & Watkins, S. C. (2001). The density of social networks and fertility decisions: Evidence from South Nyanza District, Kenya. Demography, 38(1), 43–58.
Kohler, H.-P., Billari, F. C., & Ortega, J. A. (2002). The emergence of lowest-low fertility in Europe during the 1990s. Population and Development Review, 28(4), 641–680.
Kravdal, Ø. (2002). The impact of individual and aggregate unemployment on fertility in Norway. Demographic Research, 6, 263–294.
Kreyenfeld, M. (2005). Economic uncertainty and fertility postponement. Evidence from German panel data. MPIDR Working Paper WP 2005-034.
Kreyenfeld, M. (2010). Uncertainties in female employment careers and the postponement of parenthood in Germany. European Sociological Review, 26(3), 351–366.
Lesthaeghe, R., & Van de Kaa, D. J. (1986). Twee demografische Transities? In R. Lesthaeghe & D. J. Van De Kaa (Eds.), Bevolking: Groei en Krimp (Mens en Maatschappij, pp. 9–24). Deventer: Van Loghum-Slaterus.
Lyngstad, T. H., & Prskawetz, A. (2010). Do siblings’ fertility decisions influence each other? Demography, 47(4), 923–934.
Marini, M. M. (1984). Women’s educational attainment and the timing of entry into parenthood. American Sociological Review, 49(4), 491–511.
Mathews, P., & Sear, R. (2013). Does the kin orientation of a British woman’s social network influence her entry into motherhood? Demographic Research, 28, 313–340.
McDonald, P. (2000). Gender equity in theories of fertility transition. Population and Development Review, 26(3), 427–439.
Montgomery, M. R., & Casterline, J. B. (1993). The diffusion of fertility control in Taiwan: Evidence from pooled cross-section time-series models. Population Studies, 47(3), 457–479.
Morgan, S. P. (2001). Should fertility intentions inform fertility forecasts? US Census Bureau Conference “The Directions of Fertility in the United States”, Alexandria, 2–3 Oct 2001.
Morgan, S. P., & Bachrach, C. A. (2011). Is the Theory of Planned Behaviour an appropriate model for human fertility? Vienna Yearbook of Population Research, 9, 11–18.
Munshi, K., & Myaux, J. (2006). Social norms and the fertility transition. Journal of Development Economics, 80(1), 1–38.
Mynarska, M. (2010). Deadline for parenthood: Fertility postponement and age norms in Poland. European Journal of Population/Revue européenne de démographie, 26(3), 351–373.
Myrskylä, M., Kohler, H.-P., & Billari, F. C. (2009). Advances in development reverse fertility declines. Nature, 460(7256), 741–743.
Neels, K., Murphy, M., Ní Bhrolcháin, M., & Beaujouan, É. (2014). Further estimates of the contribution of rising educational participation to fertility postponement: A model-based decomposition for the UK, France and Belgium. Paper presented at the Population Association of America 2014 Annual Meeting, Boston, May 1–3.
Ní Bhrolcháin, M., & Beaujouan, É. (2012). Fertility postponement is largely due to rising educational enrolment. Population Studies, 66(3), 311–327.
Notestein, F. W. (1953). Economic problems of population change. London: Oxford University Press.
Ozcan, B., Mayer, K. U., & Luedicke, J. (2010). The impact of unemployment on the transition to parenthood. Demographic Research 23, 807–846.
Pailhé, A., & Solaz, A. (2012). The influence of employment uncertainty on childbearing in France: A tempo or quantum effect? Demographic Research, 26, 1–40.
Perelli-Harris, B. (2005). The path to lowest-low fertility in Ukraine. Population Studies, 59(1), 55–70.
R Core Team (2015). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
Rendall, M., Aracil, E., Bagavos, C., Couet, C., DeRose, A., DiGiulio, P., Lappegard, T., Robert-Bobée, I., Rønsen, M., Smallwood, S., et al. (2010). Increasingly heterogeneous ages at first birth by education in Southern European and Anglo-American family-policy regimes: A seven-country comparison by birth cohort. Population Studies, 64(3), 209–227.
Rindfuss, R. R., Bumpass, L., & St. John, C. (1980). Education and fertility: Implications for the roles women occupy. American Sociological Review, 45(3), 431–447.
Rindfuss, R. R., Choe, M. K., Bumpass, L. L., & Tsuya, N. O. (2004). Social networks and family change in Japan. American Sociological Review, 69(6), 838–861.
Rindfuss, R. R., Morgan, S. P., & Offutt, K. (1996). Education and the changing age pattern of American fertility: 1963–1989. Demography, 33(3), 277–290.
Rosero-Bixby, L., & Casterline, J. B. (1993). Modelling diffusion effects in fertility transition. Population Studies, 47(1), 147–167.
Settersten, R. A., & Hägestad, G. O. (1996). What’s the latest? cultural age deadlines for family transitions. The Gerontologist, 36(2), 178–188.
Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1–7.
Testa, M. R. (2006). Childbearing preferences and family issues in Europe. Number 253 in Special Eurobarometer. European Comission.
Testa, M. R., Sobotka, T., & Morgan, S. P. (2011). Reproductive decision-making: Towards improved theoretical, methodological and empirical approaches. Vienna Yearbook of Population Research, 9, 1–9.
Therneau, T. M. (2015). A Package for Survival Analysis in S. version 2.38. http://CRAN.R-project.org/package=survival
Thiele, J. C., Kurth, W., & Grimm, V. (2012). RNETLOGO: An R package for running and exploring individual-based models implemented in NETLOGO. Methods in Ecology and Evolution, 3(3), 480–483.
Van Bavel, J., & Nitsche, N. (2013). ‘The proper age for parenthood’ and second birth rates in Europe. European Sociological Review, 29(6), 1149–1161.
Vignoli, D., Drefahl, S., & De Santis, G. (2012). Whose job instability affects the likelihood of becoming a parent in Italy? A tale of two partners. Demographic Research, 26, 41–62.
Wilensky, U. (1999). NetLogo. Evanston: Center for Connected Learning and Computer-Based Modeling, Northwestern University.
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Ciganda, D., Villavicencio, F. (2017). Feedback Mechanisms in the Postponement of Fertility in Spain. In: Grow, A., Van Bavel, J. (eds) Agent-Based Modelling in Population Studies. The Springer Series on Demographic Methods and Population Analysis, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-32283-4_14
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