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Young Women’s Dynamic Family Size Preferences in the Context of Transitioning Fertility

Demography volume 50, pages 1715–1737 (2013)Cite this article

Abstract

Dynamic theories of family size preferences posit that they are not a fixed and stable goal but rather are akin to a moving target that changes within individuals over time. Nonetheless, in high-fertility contexts, changes in family size preferences tend to be attributed to low construct validity and measurement error instead of genuine revisions in preferences. To address the appropriateness of this incongruity, the present study examines evidence for the sequential model of fertility among a sample of young Malawian women living in a context of transitioning fertility. Using eight waves of closely spaced data and fixed-effects models, we find that these women frequently change their reported family size preferences and that these changes are often associated with changes in their relationship and reproductive circumstances. The predictability of change gives credence to the argument that ideal family size is a meaningful construct, even in this higher-fertility setting. Changes are not equally predictable across all women, however, and gamma regression results demonstrate that women for whom reproduction is a more distant goal change their fertility preferences in less-predictable ways.

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Notes

  1. Fig. 1 in the appendix shows ideal family size reports by five-year birth cohorts using Malawi DHS data from 1992, 2000, 2004, and 2010. Overall, there is little change within birth cohorts over this period, although there is a slight decrease between 1992 and 2000 and a slight increase between 2000 and 2010.

  2. Tsogolo la Thanzi is a research project designed by Jenny Trinitapoli and Sara Yeatman, and funded by Grant R01 HD058366 from the National Institute of Child Health and Human Development. Details are available online (http://projects.pop.psu.edu/tlt).

  3. The evidence for panel conditioning is most clear in studies with surveys spaced less than one month apart. The evidence for surveys spaced between one month and one year is more mixed (Warren and Halpern-Manners 2012).

References

  • Agadjanian, V. (2005). Fraught with ambivalence: Reproductive intentions and contraceptive choices in a sub-Saharan fertility transition. Population Research and Policy Review, 24, 617–645.

    Article  Google Scholar 

  • Bankole, A. (1995). Desired fertility and fertility behaviour among the Yoruba of Nigeria: A study of couple preferences and subsequent fertility. Population Studies, 49, 317–328.

    Article  Google Scholar 

  • Bankole, A., & Singh, S. (1998). Couples’ fertility and contraceptive decision-making in developing countries: Hearing the man’s voice. International Family Planning Perspectives, 24, 15–24.

    Article  Google Scholar 

  • Bankole, A., & Westoff, C. F. (1998). The consistency and validity of reproductive attitudes: Evidence from Morocco. Journal of Biosocial Science, 30, 439–455.

    Article  Google Scholar 

  • Barbieri, M., Hertrich, V., & Grieve, M. (2005). Age difference between spouses and contraceptive practice in sub-Saharan Africa. Population, 60, 617–654.

    Google Scholar 

  • Becker, G. S., & Lewis, H. G. (1973). On the interaction between the quantity and quality of children. Journal of Political Economy, 81, S279–S288.

    Article  Google Scholar 

  • Bledsoe, C. (1990). Transformations in sub-Saharan African marriage and family. The Annals of the American Academy of Political and Social Science, 510, 115–125.

    Article  Google Scholar 

  • Bledsoe, C., Fatoumatta, B., & Hill, A. G. (1998). Reproductive mishaps and Western contraception: An African challenge to fertility theory. Population and Development Review, 24, 15–57.

    Article  Google Scholar 

  • Bulatao, R. A. (1981). Values and disvalues of children in successive childbearing decisions. Demography, 18, 1–25.

    Article  Google Scholar 

  • Caldwell, J. C., & Caldwell, P. (1987). The cultural context of high fertility in sub-Saharan Africa. Population and Development Review, 13, 409–437.

    Article  Google Scholar 

  • Casterline, J. B., & el-Zeini, L. O. (2007). The estimation of unwanted fertility. Demography, 44, 729–745.

    Article  Google Scholar 

  • Coombs, L. C. (1979). Underlying family-size preferences and reproductive behavior. Studies in Family Planning, 10, 25–36.

    Article  Google Scholar 

  • Coppola, L., & Di Cesare, M. (2008). How fertility and union stability interact in shaping new family patterns in Italy and Spain. Demographic Research, 18(article 4), 117–144. doi:10.4054/DemRes.2008.18.4

    Article  Google Scholar 

  • Culpepper, S. A. (2010). Studying individual differences in predictability with gamma regression and nonlinear multilevel models. Multivariate Behavioral Research, 45, 153–185.

    Article  Google Scholar 

  • Dannifer, D. (2003). Whose life course is it, anyway? Diversity and “linked lives” in global perspective. In R. A. Settersten, Jr. (Ed.), Invitation to the life course: Toward new understandings of later life (pp. 259–268). Amityville, NY: Baywood Publishing Company.

  • Debpuur, C., & Bawah, A. A. (2002). Are reproductive preferences stable? Evidence from rural northern Ghana. Genus, LVIII, 63–89.

    Google Scholar 

  • DeRose, L. F., & Ezeh, A. C. (2005). Men’s influence on the onset and progress of fertility decline in Ghana, 1988–98. Population Studies, 59, 197–210.

    Article  Google Scholar 

  • Ezeh, A. C., Seroussi, M., & Raggers, H. (1996). Men’s fertility, contraceptive use, and reproductive preferences (Demographic and Health Survey Comparative Studies No. 18). Calverton, MD: Macro International Inc.

  • Freedman, R., Coombs, L. C., & Bumpass, L. (1965). Stability and change in expectations about family size: A longitudinal study. Demography, 2, 250–275.

    Article  Google Scholar 

  • Freedman, R., Freedman, D. S., & Thornton, A. D. (1980). Changes in fertility expectations and preferences between 1962 and 1977: Their relation to final parity. Demography, 17, 365–378.

    Article  Google Scholar 

  • Frye, M. (2012). Bright futures in Malawi’s new dawn: Educational aspirations as assertions of identity. The American Journal of Sociology, 117, 1565–1624.

    Article  Google Scholar 

  • Griffith, J. D., Koo, H. P., & Suchindran, C. M. (1985). Childbearing and family in remarriage. Demography, 22, 73–88.

    Article  Google Scholar 

  • Hauser, P. M. (1967). Review: “Family planning and population programs”: A book review article. Demography, 4, 397–414.

    Article  Google Scholar 

  • Hausman, J. A. (1978). Specification texts in econometrics. Econometrica, 46, 1251–1271.

    Article  Google Scholar 

  • Hayford, S. R. (2009). The evolution of fertility expectations over the life course. Demography, 46, 765–783.

    Article  Google Scholar 

  • Hayford, S. R., & Morgan, S. P. (2008). The quality of retrospective data on cohabitation. Demography, 45, 129–141.

    Article  Google Scholar 

  • Heiland, F., Prskawetz, A., & Sanderson, W. C. (2008). Are individuals’ desired family sizes stable? Evidence from West German panel data. European Journal of Population, 24, 129–156.

    Article  Google Scholar 

  • Hout, M. (1978). The determinants of marital fertility in the United States, 1968–1970: Inferences from a dynamic model. Demography, 15, 139–160.

    Article  Google Scholar 

  • Iacovou, M., & Tavares, L. P. (2011). Yearning, learning, and conceding: Reasons men and women change their childbearing intentions. Population and Development Review, 37, 89–123.

    Article  Google Scholar 

  • Johnson-Hanks, J. (2007). Natural intentions: Fertility decline in the African Demographic and Health Surveys. The American Journal of Sociology, 112, 1008–1043.

    Article  Google Scholar 

  • Joyce, T., Kaestner, R., & Korenman, S. (2000). The stability of pregnancy intentions and pregnancy-related maternal behaviors. Maternal and Child Health Journal, 4, 171–178.

    Article  Google Scholar 

  • Joyce, T., Kaestner, R., & Korenman, S. (2002). On the validity of retrospective assessments of pregnancy intention. Demography, 39, 199–213.

    Article  Google Scholar 

  • Kirk, D., & Pillet, B. (1998). Fertility levels, trends, and differentials in sub-Saharan Africa in the 1980s and 1990s. Studies in Family Planning, 29, 1–22.

    Article  Google Scholar 

  • Knodel, J., & Prachuabmoh, V. (1973). Desired family size in Thailand: Are the responses meaningful? Demography, 10, 619–637.

    Article  Google Scholar 

  • Kodzi, I. A., Casterline, J. B., & Aglobitse, P. (2010). The time dynamics of individual fertility preferences among rural Ghanaian women. Studies in Family Planning, 41, 45–54.

    Article  Google Scholar 

  • Lee, R. D. (1980). Aiming at a moving target: Period fertility and changing reproductive goals. Population Studies, 34, 205–226.

    Google Scholar 

  • Liefbroer, A. C. (2009). Changes in family size intentions across young adulthood: A life-course perspective. European Journal of Population, 25, 363–386.

    Article  Google Scholar 

  • Lillard, L. A., & Waite, L. J. (1993). A joint model of marital childbearing and marital disruption. Demography, 30, 653–681.

    Article  Google Scholar 

  • Lindstrom, D. P., & Kiros, G.-E. (2007). The impact of infant and child death on subsequent fertility in Ethiopia. Population Research and Policy Review, 26, 31–49.

    Article  Google Scholar 

  • McCarthy, J., & Oni, G. A. (1987). Desired family size and its determinants among urban Nigerian women: A two-stage analysis. Demography, 24, 279–290.

    Article  Google Scholar 

  • Measure DHS and ICF Macro. (1994). Malawi Demographic and Health Survey 1992. Zomba, Malawi, and Calverton, MD: National Statistical Office.

    Google Scholar 

  • Measure DHS and ICF Macro. (2011). Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, MD: National Statistical Office.

    Google Scholar 

  • Miller, W. B., & Pasta, D. J. (1995). Behavioral intentions: Which ones predict fertility behavior in married couples? Journal of Applied Social Psychology, 25, 530–555.

    Article  Google Scholar 

  • Namboodiri, N. K. (1972). Some observations on the economic framework for fertility analysis. Population Studies, 26, 185–206.

    Google Scholar 

  • National Statistical Office and ORC Macro. (2001). Malawi Demographic and Health Survey 2000. Zomba, Malawi, and Calverton, MD: National Statistical Office and ORC Macro.

    Google Scholar 

  • Petersen, T. (2004). Analyzing panel data: Fixed- and random-effects models. In M. Hardy & A. Bryman (Eds.), Handbook of data analysis (pp. 331–346). Los Angeles, CA: Sage.

    Google Scholar 

  • Rahman, M. (1998). The effect of child mortality on fertility regulation in rural Bangladesh. Studies in Family Planning, 29, 268–281.

    Article  Google Scholar 

  • Reniers, G. (2003). Divorce and remarriage in rural Malawi. Demographic Research, Special Collection 1, 175–206. doi:10.4054/DemRes.0.S6.1

  • Rocca, C. H., Doherty, I., Padian, N. S., Hubbard, A. E., & Minnis, A. M. (2010). Pregnancy intentions and teenage pregnancy among Latinas: A mediation analysis. Perspectives on Sexual and Reproductive Health, 42, 186–196.

    Article  Google Scholar 

  • Ryder, N. B. (1973). A critique of the National Fertility Study. Demography, 10, 495–506.

    Article  Google Scholar 

  • Ryder, N. B. (2010). Norman Ryder on the sociology of fertility reduction. Population and Development Review, 36, 607–620 (Original work published 1976).

    Article  Google Scholar 

  • Ryder, N. B., & Westoff, C. F. (1967). The trend of expected parity in the United States: 1955, 1960, 1965. Population Index, 33, 153–168.

    Article  Google Scholar 

  • Sandberg, J. (2006). Infant mortality, social networks, and subsequent fertility. American Sociological Review, 71, 288–309.

    Article  Google Scholar 

  • Schoen, R., Astone, N. M., Kim, Y. J., Nathanson, C. A., & Fields, J. M. (1999). Do fertility intentions affect fertility behavior? Journal of Marriage and the Family, 61, 790–799.

    Article  Google Scholar 

  • Sennott, C., & Yeatman, S. (2012). Stability and change in fertility preferences among young women in Malawi. International Perspectives on Sexual and Reproductive Health, 38, 34–42.

    Article  Google Scholar 

  • Smyth, G. K. (2002). An efficient algorithm for REML in heteroscedastic regression. Journal of Graphical and Computational Statistics, 11, 836–847.

    Article  Google Scholar 

  • Thomson, E. (1997). Couple childbearing desires, intentions, and births. Demography, 34, 343–354.

    Article  Google Scholar 

  • Thomson, E., Hoem, J. M., Vikat, A., Prskawetz, A., Buber, I., Toulemon, L., . . . Kantorova, V. (2002). Childbearing in stepfamilies: How parity matters. In M. Corijn and E. Klijzing (Eds.), Dynamics of fertility and partnership in Europe: Insights and lessons from comparative research (pp. 87–99). New York, and Geneva, Switzerland: United Nations.

  • Thomson, E., Winkler-Dworak, M., Spielauer, M., & Prskawetz, A. (2012). Union instability as an engine of fertility? A microsimulation model for France. Demography, 49, 175–195.

    Article  Google Scholar 

  • Toepoel, V., Das, M., & van Soest, A. (2009). Relating question type to panel conditioning: Comparing trained and fresh respondents. Survey Research Methods, 3, 73–80.

    Google Scholar 

  • Udry, J. R. (1983). Do couples make fertility plans one birth at a time? Demography, 20, 117–128.

    Article  Google Scholar 

  • van de Walle, E. (1992). Fertility transition, conscious choice, and numeracy. Demography, 29, 487–502.

    Article  Google Scholar 

  • Van Lith, L. M., Yahner, M., & Bakamjian, L. (Forthcoming). Women’s growing desire to limit births in sub-Saharan Africa: Meeting the challenge. Global Health: Science and Practice.

  • Vikat, A., Thomson, E., & Hoem, J. M. (1999). Stepfamily fertility in contemporary Sweden: The impact of childbearing before the current union. Population Studies, 53, 211–225.

    Article  Google Scholar 

  • Voas, D. (2003). Conflicting preferences: A reason fertility tends to be too high or too low. Population and Development Review, 29, 627–646.

    Article  Google Scholar 

  • Warren, J. R., & Halpern-Manners, A. (2012). Panel conditioning in longitudinal social science surveys. Sociological Methods and Research, 41, 491–534.

    Article  Google Scholar 

  • Westoff, C. F., & Ryder, N. B. (1977). The predictive validity of reproductive intentions. Demography, 14, 431–453.

    Article  Google Scholar 

  • Yamaguchi, K., & Ferguson, L. R. (1995). The stopping and spacing of childbirths and their birth-history predictors: Rational-choice theory and event-history analysis. American Sociological Review, 60, 272–298.

    Article  Google Scholar 

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Acknowledgements

This study was supported by two grants from the National Institute of Child Health and Human Development: R01 HD058366 and R03 HD067099. We are indebted to Jenny Trinitapoli, Stefanie Mollborn, Margaret Frye, Rob Warren, colloquium participants at the University of Colorado’s Institute of Behavioral Science, and Demography’s reviewers for helpful comments on earlier versions of this article; any errors are our own. This research was made possible by the efforts of the Tsogolo la Thanzi fieldwork team, headed by Abdallah Chilungo, Sydney Lungu, and Hazel Namadingo.

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Authors and Affiliations

  1. Department of Health and Behavioral Sciences, University of Colorado Denver, Campus Box 188, P.O. Box 173364, Denver, CO, 80217, USA

    Sara Yeatman

  2. Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA

    Sara Yeatman

  3. Department of Sociology and Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA

    Christie Sennott

  4. Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Steven Culpepper

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  1. Sara Yeatman
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  2. Christie Sennott
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Correspondence to Sara Yeatman.

Appendix

Appendix

Fig. 1
figure 1

Ideal family size by five-year cohorts, Malawi Demographic and Health Surveys, 1992, 2000, 2004, and 2010

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Yeatman, S., Sennott, C. & Culpepper, S. Young Women’s Dynamic Family Size Preferences in the Context of Transitioning Fertility. Demography 50, 1715–1737 (2013). https://doi.org/10.1007/s13524-013-0214-4

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Keywords

  • Fertility
  • Family size preferences
  • Sub-Saharan Africa
  • Malawi