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HOW DOES THE SPREAD OF PRIMARY AND SECONDARY SCHOOLING INFLUENCE THE FERTILITY TRANSITION? EVIDENCE FROM RURAL NEPAL

Published online by Cambridge University Press:  21 February 2013

SIMONE SILVA
Affiliation:
Murray State University, Murray, Kentucky, USA
DAVID R. HOTCHKISS*
Affiliation:
Tulane University, New Orleans, Louisiana, USA
*
1Corresponding author. Email: [email protected]

Summary

From 1996 to 2006, Nepal experienced a substantial fertility decline, with the total fertility rate dropping from 4.6 to 3.1 births per woman. This study examines the associations between progress towards universal primary and secondary schooling and fertility decline in rural Nepal. Several hypotheses regarding mechanisms through which education affects current fertility behaviour are tested, including: the school environment during women's childhood; current availability of schools; knowledge of educational costs; and women's own educational attainment. Data for the analysis come from the 2003–04 Nepal Living Standards Survey, a nationally representative random sample of households, which includes detailed data on fertility, household expenditure, educational attainment, demographic characteristics and the use of social services. Census and administrative data are also used to construct district-level gross enrolment ratios for primary and secondary schools during the women's childhood. Discrete dependent variable modelling techniques are used to estimate the effects of the following variables on the probability of women giving birth in a given year: district-level gross enrolment ratios for primary and secondary schools during women's childhood; having had a child previously in school; women's own educational level; current school availability; and other covariates. Separate models are estimated for the overall sample of rural women of reproductive age, and for parity-specific sub-samples. The results suggest that district-level gross enrolment ratios for secondary schools and, in some instances, having had a previous child enrolled in school are significant determinants of fertility in rural areas. These results are highly independent of women's own educational levels. Overall, the results suggest that, in the rural Nepal context, mass schooling influences the fertility transition through both community- and household-level pathways.

Type
Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Adsera, A. (2005) Vanishing children: from high unemployment to low fertility in developed countries. Education and Health of Women and Children 95, 189193.Google ScholarPubMed
Axinn, W. G. (1993) The effects of children's schooling on fertility limitation. Population Studies 47, 381493.CrossRefGoogle Scholar
Axinn, W. G. & Barber, J. S. (2001) Mass education and fertility transition. American Sociological Review 66, 481505.CrossRefGoogle Scholar
Axinn, W. G. & Yabiku, S. T. (2001) Social change, the social organization of families, and fertility limitation. American Journal of Sociology 106, 12191261.CrossRefGoogle Scholar
Becker, G. S. (1960) An economic analysis of fertility. In Becker, G. S. (ed.) Demographic and Economic Change in Developed Countries. Princeton University Press, Princeton, pp. 225256.Google Scholar
Becker, G. S. (1965) A theory of the allocation of time. Economic Journal 75, 493517.CrossRefGoogle Scholar
Benefo, K. & Schultz, T. P. (1996) Fertility and child mortality in Cote d'Ivoire and Ghana. World Bank Economic Review 10, 123158.CrossRefGoogle ScholarPubMed
Bhushan, I. & Oliver, R. (2000) Fertility. In Grosh, M. & Glewwe, P. (eds) Designing Household Survey Questionnaires for Developing Countries: Lessons from 15 Years of the Living Standards Measurement Study. World Bank, Washington, pp. 3147.Google Scholar
Bledsoe, C. H., Casterline, J. B., Johnson-Kuhn, J. A. & Haaga, J. G. (eds) (1999) Critical Perspectives on Schooling and Fertility in the Developing World. National Academy Press, Washington.Google Scholar
Boca, D. D. & Sauer, R. M. (2009) Life cycle employment and fertility across institutional environments. European Economic Review 53, 274292.CrossRefGoogle Scholar
Bollen, K. A., Guilkey, D. K. & Mroz, T. A. (1995) Binary outcomes and endogenous explanatory variables – tests and solutions with an application to the demand for contraceptive use in Tunisia. Demography 32, 111131.CrossRefGoogle Scholar
Bongaarts, J. (2008) Fertility transitions in developing countries: progress or stagnation? Studies in Family Planning 39, 105110.CrossRefGoogle ScholarPubMed
Bryan, T. (2004) Population estimates. In Siegel, J. J. S. & Swanson, D. A. (eds) The Methods and Materials of Demography. Elsevier, San Diego, pp. 523560.Google Scholar
Bulatao, R. A. & Lee, R. D. (eds) (1983) Determinants of Fertility in Developing Countries. Academic Press, New York.Google Scholar
Caldwell, J. C. (1980) Mass education as a determinant of the timing of the fertility decline. Population and Development Review 6, 225255.CrossRefGoogle Scholar
Caldwell, J. C. (1982) Theory of Fertility Decline. Academic Press, New York.Google Scholar
Caldwell, J. C., Reddy, P. H. & Caldwell, P. (1985) Educational transition in rural south India. Population and Development Review 11, 2951.CrossRefGoogle Scholar
Calhoun, C. A. & Espenshade, T. J. (1988) Childbearing and wives' foregone earnings. Population Studies 42, 537.CrossRefGoogle Scholar
Casterline, J. B. (1985) Schooling and fertility: a multilevel approach. Proceedings of the International Population Conference (Florence, Italy) 2, 7–2.Google Scholar
Cleland, J. & Rodriguez, G. (1988) The effect of parental education on marital fertility in developing countries. Population Studies 42, 419442.CrossRefGoogle Scholar
Cochrane, S. H. (1979) Fertility and Education: What do we Really Know? Johns Hopkins University Press, Baltimore.Google Scholar
Coleman, J. S. (1990) Foundations of Social Theory. Harvard University Press, Cambridge.Google Scholar
Conley, D., McCord, G. C. & Sachs, J. D. (2007) Africa's Lagging Demographic Transition: Evidence from Exogenous Impacts of Malaria Ecology and Agricultural Technology. National Bureau of Economic Research, Working Paper 12892.Google Scholar
Diamond, I., Newby, M. & Varle, S. (1999) Female education and fertility: examining the links. In Bledsoe, C. H., Casterline, J. B., Johnson-Kuhn, J. A. & Haaga, J. G. (eds) Critical Perspectives on Schooling and Fertility in the Developing World. National Academy Press, Washington, pp. 2347.Google Scholar
Easterlin, R. A. & Crimmins, E. M. (1985) The Fertility Revolution: A Supply–Demand Analysis. University of Chicago Press, Chicago.Google Scholar
Edmeades, J. (2008) The legacies of context: past and present influences on contraceptive choice in Nang Rong, Thailand. Demography 45, 283302.CrossRefGoogle ScholarPubMed
Fang, H., Eggleston, K. N., Rizzo, J. A. & Zeckhauser, R. J. (2010) Female Employment and Fertility in Rural China. National Bureau of Economic Research, Working Paper 15886.Google Scholar
Fernández, R. & Fogli, A. (2009) Culture: an empirical investigation of beliefs, work, and fertility. American Economic Journal: Macroeconomics 1, 146177.Google Scholar
Freedman, R., Baumert, G. & Bolte, M. (1959) Expected family size and family size values in West Germany. Population Studies 13, 136150.CrossRefGoogle Scholar
Gertler, P. J. & Molyneaux, J. W. (1994) How economic development and family planning programs combined to reduce Indonesian fertility. Demography 31, 3363.CrossRefGoogle ScholarPubMed
Government of Nepal (1971) Population Census of Nepal 1971. Central Bureau of Statistics, Nepal. URL: http://dl.dropbox.com/u/37323160/Archive%20Data/Population%20Census%201971/tables/index.htmGoogle Scholar
Government of Nepal (1981) Population Census of Nepal 1981. Central Bureau of Statistics, Nepal. URL: http://dl.dropbox.com/u/37323160/Archive%20Data/Population%20Census%201981/table/index.htmGoogle Scholar
Government of Nepal (1991) Population Census of Nepal 1991. Central Bureau of Statistics, Nepal. URL: http://dl.dropbox.com/u/37323160/Archive%20Data/Population%20Census%201991/TABLEINDEX.HTMGoogle Scholar
Government of Nepal (2006) Resilience Amidst Conflict: An Assessment of Poverty in Nepal, 1995–96 and 2003–4. World Bank. URL: http://siteresources.worldbank.org/INTNEPAL/Resources/Resilience_Amidst_Conflict.pdfGoogle Scholar
Government of Nepal (2007) Statistical Yearbook of Nepal 2007. Central Bureau of Statistics, Nepal. URL: http://cbs.gov.np/?page_id=914Google Scholar
Guilkey, D. K. & Jayne, S. (1997) Fertility transition in Zimbabwe: determinants of contraceptive use and method choice. Population Studies 51, 173189.CrossRefGoogle Scholar
Gustafsson, S. (2001) Optimal age at motherhood. Theoretical and empirical considerations on postponement of maternity in Europe. Journal of Population Economics 14, 225247.CrossRefGoogle Scholar
Hayford, S. R. (2009) The evolution of fertility expectations over the life course. Demography 46, 765783.CrossRefGoogle ScholarPubMed
Hoem, B. (1993) The compatibility of employment and childbearing in contemporary Sweden. Acta Sociologica 36, 101120.CrossRefGoogle Scholar
Jeffery, R. & Basu, A. M. (eds) (1996) Girls' Schooling, Women's Autonomy and Fertility Change in South Asia. Sage, New Delhi.Google Scholar
Jejeebhoy, S. J. (1995) Women's Education, Autonomy and Reproductive Behavior: Experience from Developing Countries. Clarendon Press, Oxford.CrossRefGoogle Scholar
Karki, Y. B. & Krishna, R. (2008) Factors Responsible for the Rapid Decline of Fertility in Nepal – An Interpretation: Further Analysis of the 2006 Demographic and Health Survey. Macro International Inc., Calverton, MD, USA.Google Scholar
Kravdal, Ø. (1992) The emergence of a positive relation between education and third birth rates in Norway with supportive evidence from the United States. Population Studies 46, 459475.CrossRefGoogle Scholar
Kravdal, Ø. (2001) The high fertility of college educated women in Norway: an artifact of the separate modeling of each parity transition. Demographic Research 5, 187216.CrossRefGoogle Scholar
Kulu, H., Vikat, A. & Andersson, G. (2007) Settlement size and fertility in the Nordic countries. Population Studies 61, 265285.CrossRefGoogle ScholarPubMed
Lavy, V. & Zablotsky, A. (2011) Mother's Schooling, Fertility, and Children's Education: Evidence from a Natural Experiment. National Bureau of Economic Research, Working Paper 16856.Google Scholar
Lee, J. (2008) Sibling size and investment in children's education: an Asian instrument. Journal of Population Economics 21, 855875.CrossRefGoogle Scholar
Lloyd, C. B., Kaufman, C. E. & Hewett, P. (2000) The spread of primary schooling in sub-Saharan Africa: implications for fertility change. Population and Development Review 26, 483515.CrossRefGoogle ScholarPubMed
McCrary, J. & Royer, H. (2011) The effect of female education on fertility and infant health: evidence from school entry policies using exact date of birth. American Economic Review 101, 158195.CrossRefGoogle ScholarPubMed
McLachlan, G. J. & Basford, K. E. (1988) Mixture Models. Marcel Dekker, New York.Google ScholarPubMed
Matysiak, A. (2009) Employment first, then childbearing: women's strategy in post-socialist Poland. Population Studies 63, 253276.CrossRefGoogle ScholarPubMed
Michael, R. T. (1973) Education and the derived demand for children. Journal of Political Economy 81, 128164.CrossRefGoogle Scholar
Miglioretti, D. L. & Heagerty, P. J. (2007) Marginal modeling of nonnested multilevel data using standard software. American Journal of Epidemiology 165, 453463.CrossRefGoogle ScholarPubMed
Mincer, J. (1962) Labor force participation of married women: a study of labor supply. In National Bureau of Economic Research (ed.) Aspects of Labor Economics. Princeton University Press, Princeton, pp. 63106.Google Scholar
Ministry of Health and Population (MOHP) [Nepal], New ERA & Macro International Inc (2007) Nepal Demographic and Health Survey 2006. Ministry of Health and Population, New ERA & Macro International Inc., Kathmandu, Nepal.Google Scholar
Monstad, K., Propper, C. & Salvanes, K. G. (2008) Education and fertility: evidence from a natural experiment. Scandinavian Journal of Economics 110, 827852.CrossRefGoogle Scholar
Ní Bhrolcháin, M. (1993) Recent fertility differentials in Britain. In Ní Bhrolcháin, M. (ed.) New Perspectives on Fertility in Britain. HMSO, London, pp. 93109.Google Scholar
Philipov, D., Spéder, Z. & Billari, F. C. (2006) Soon, later, or ever? The impact of anomie and social capital on fertility intentions in Bulgaria (2002) and Hungary (2001). Population Studies 60, 289308.CrossRefGoogle ScholarPubMed
Sathar, Z., Lloyd, C. B., Mete, C. & Haque, M. (2000) Schooling Opportunities for Girls as a Stimulus for Fertility Change in Rural Pakistan. Population Council, Working Paper 143.CrossRefGoogle Scholar
Schellekens, J. (2009) Family allowances and fertility: socioeconomic differences. Demography 46, 451468.CrossRefGoogle ScholarPubMed
Shreffer, K. M. & Dodoo, F. N. (2009) The role of intergenerational transfers, land, and education in fertility transition in rural Kenya: the case of Nyeri district. Population Environment 30, 7592.CrossRefGoogle Scholar
Singh, S. & Casterline, J. B. (1985) The socioeconomic determinants of fertility. In Cleland, J. & Hobcraft, J. (eds) Fertility Survey. Oxford University Press, New York, pp. 199222.Google Scholar
Soares, R. R. & Falcao, B. L. (2008) The demographic transition and the sexual division of labor. Journal of Political Economy 116, 10581104.CrossRefGoogle Scholar
Steele, F. (2009) Module 7: Multilevel Models for Binary Responses. Center for Multilevel Modeling. URL: http://www.bristol.ac.uk/cmm/learning/module-samples/7-practicals-mlwin-sample.pdfGoogle Scholar
Stram, D. O. & Lee, J. W. (1994) Variance components testing in the longitudinal mixed effects model. Biometrics 50, 11711177.CrossRefGoogle ScholarPubMed
Terza, J. V., Basu, A. & Rathouz, P. J. (2008) Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. Journal of Health Economics 27, 531543.CrossRefGoogle ScholarPubMed
White, M. J., Muhidin, S., Andrzejewski, C., Tagoe, E., Knight, R. & Reed, H. (2008) Urbanization and fertility: an event-history analysis of coastal Ghana. Demography 45, 803816.CrossRefGoogle ScholarPubMed
Willis, R. J. (1973) A new approach to the economic theory of fertility behavior. Journal of Political Economy 81, 1464.CrossRefGoogle Scholar
World Bank (2006) Resilience amidst Conflict: An Assessment of Poverty in Nepal, 1995–96 to 2003–04. World Bank, Washington.Google Scholar
World Bank (2010) World Development Indicators. URL: http://data.worldbank.org/country/nepal?display=defaultGoogle Scholar