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A Dynamic Model of Contraceptive Choice of Spanish Couples

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  • Jesús Carro
  • Pedro Mira

Abstract

In this paper we propose a simple dynamic stochastic model of sterilization and contraceptive use and we estimate its structural parameters using a sample of married couples from the 1995 Spanish Family and Fertility Survey. The estimated structural model improves on previous studies in terms of its ability to rationalize observed behavior. The large proportion of women contracepting at parity 0 is interpreted as evidence of 'precautionary' contraceptive behavior. Allowing for simple forms of permanent unobserved heterogeneity across couples in their ability to conceive has important implications for estimates of utility and cost parameters. Our estimates of child valuation parameters imply that most Spanish couples would have two children, but significant deviations from this goal are brought about by imperfect and costly fertility control. Our simulations suggest that the introduction of sterilization has reduced fertility by an average of 0.2 children per couple, and that the availability of more effective reversible contraceptive methods would reduce expected fertility by up to 0.4 children per couple.

Suggested Citation

  • Jesús Carro & Pedro Mira, 2002. "A Dynamic Model of Contraceptive Choice of Spanish Couples," Working Papers wp2002_0202, CEMFI.
  • Handle: RePEc:cmf:wpaper:wp2002_0202
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    References listed on IDEAS

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    1. Wolpin, Kenneth I, 1984. "An Estimable Dynamic Stochastic Model of Fertility and Child Mortality," Journal of Political Economy, University of Chicago Press, vol. 92(5), pages 852-874, October.
    2. James J. Heckman & Robert J. Willis, 1976. "Estimation of a Stochastic Model of Reproduction: An Econometric Approach," NBER Chapters, in: Household Production and Consumption, pages 99-146, National Bureau of Economic Research, Inc.
    3. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    4. Namkee Ahn, 1995. "Measuring the Value of Children by Sex and Age Using a Dynamic Programming Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(3), pages 361-379.
    5. Gary S. Becker, 1960. "An Economic Analysis of Fertility," NBER Chapters, in: Demographic and Economic Change in Developed Countries, pages 209-240, National Bureau of Economic Research, Inc.
    6. Zvi Eckstein & Kenneth I. Wolpin, 1989. "The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 562-598.
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    Cited by:

    1. Repullo, Rafael & Elizalde, Abel, 2004. "Economic and Regulatory Capital: What is the Difference?," CEPR Discussion Papers 4770, C.E.P.R. Discussion Papers.
    2. Diego Amador, 2017. "The Consequences of Abortion and Contraception Policies on Young Women’s Reproductive Choices, Schooling and Labor Supply," Documentos CEDE 15635, Universidad de los Andes, Facultad de Economía, CEDE.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Browning, Martin & Carro, Jesus M., 2014. "Dynamic binary outcome models with maximal heterogeneity," Journal of Econometrics, Elsevier, vol. 178(2), pages 805-823.
    5. David Canning & Declan French & Michael Moore, 2016. "The Economics of Fertility Timing: An Euler Equation Approach," CHaRMS Working Papers 16-03, Centre for HeAlth Research at the Management School (CHaRMS).
    6. Mette Ejrnæs & Thomas H. Jørgensen, 2020. "Family planning in a life‐cycle model with income risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 567-586, August.
    7. Georgi Kocharkov, 2012. "Abortions and Inequality," Working Paper Series of the Department of Economics, University of Konstanz 2012-22, Department of Economics, University of Konstanz.
    8. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    9. Uma Radhakrishnan, 2010. "A Dynamic Structural Model of Contraceptive Use and Employment Sector Choice for Women in Indonesia," Working Papers 10-28, Center for Economic Studies, U.S. Census Bureau.
    10. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    11. Juan Pantano & Qi Li, 2013. "The Demographic Consequences of Gender Selection Technology," 2013 Meeting Papers 1161, Society for Economic Dynamics.
    12. Nezih Guner & Ezgi Kaya & Virginia Sánchez-Marcos, 2014. "Gender gaps in Spain: policies and outcomes over the last three decades," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(1), pages 61-103, March.
    13. Forsstrom, Matthew P., 2021. "Abortion Costs and Single Parenthood: A Life-Cycle Model of Fertility and Partnership Behavior," Labour Economics, Elsevier, vol. 69(C).
    14. Valdés, Nieves, 2009. "The school reentry decision on poor girls: structural estimation and policy analysis using PROGRESA database," UC3M Working papers. Economics we101406, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Bellido, Héctor & Marcén, Miriam, 2011. "Divorce laws and fertility decisions," MPRA Paper 30243, University Library of Munich, Germany.
    16. Qi Li & Juan Pantano, 2023. "The demographic consequences of sex‐selection technology," Quantitative Economics, Econometric Society, vol. 14(1), pages 309-347, January.
    17. Josep Pijoan-Mas, 2006. "Precautionary Savings or Working Longer Hours?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 326-352, April.
    18. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    19. Georgi Kocharkov, 2010. "Abortions, Inequality and Intergenerational Mobility: A Quantitative Evaluation," 2010 Meeting Papers 974, Society for Economic Dynamics.

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