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Planned fertility and family background: a quantile regression for counts analysis

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  • Alfonso Miranda

Abstract

This paper examines how fertility plans of young individuals who live in intact families (i.e., those where both biological parents are present) differ from the fertility plans of young individuals who live in non-intact families in Mexico. The paper also analyses whether family background has a relevant role in the formation of fertility plans. An innovative technique for estimating quantile regression for count data is used for the analysis.
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Suggested Citation

  • Alfonso Miranda, 2008. "Planned fertility and family background: a quantile regression for counts analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(1), pages 67-81, January.
    • Handle: RePEc:spr:jopoec:v:21:y:2008:i:1:p:67-81
    DOI: 10.1007/s00148-007-0154-7
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    1. Susan Gustavus & Charles Nam, 1970. "The formation and stability of ideal family size among young people," Demography, Springer;Population Association of America (PAA), vol. 7(1), pages 43-51, February.
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    3. Maria Melkersson & Dan-Olof Rooth, 2000. "Modeling female fertility using inflated count data models," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 189-203.
    4. Hans-Peter Kohler, 1997. "Learning in social networks and contraceptive choice," Demography, Springer;Population Association of America (PAA), vol. 34(3), pages 369-383, August.
    5. Francisco Covas & J.M.C. Santos Silva, 2000. "A modified hurdle model for completed fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 173-188.
    6. Wei-Jun J. Yeung & Greg J. Duncan & Martha S. Hill, 2001. "Childhood family structure and young adult behaviors," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(2), pages 271-299.
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    Cited by:

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    2. Richard J. Volpe & Timothy A. Park & Fengxia Dong & Helen H. Jensen, 2016. "Somatic cell counts in dairy marketing: quantile regression for count data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 331-358.
    3. Eschelbach Martina, 2015. "Family Culture and Fertility Outcomes – Evidence from American Siblings," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(3), pages 246-267, June.
    4. Thomas Baudin, 2015. "Religion and fertility: The French connection," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(13), pages 397-420.
    5. Alison L. Booth & Hiau Joo Kee, 2009. "Intergenerational Transmission of Fertility Patterns," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 183-208, April.
    6. Thomas Baudin, 2012. "More on Religion and Fertility: The French Connection," Working Papers hal-00993310, HAL.
    7. Lohr, Luanne & Park, Timothy, 2012. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(2), pages 157-171, May.
    8. J. Jobu Babin & Haritima S. Chauhan, 2023. "Show no quarter: combating plausible lies with ex-ante honesty oaths," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 66-76, June.
    9. Joel Smith & Helen Banks & Harry Campbell & Anne Douglas & Eilidh Fletcher & Alison McCallum & Tron Anders Moger & Mikko Peltola & Sofia Sveréus & Sarah Wild & Linda J. Williams & John Forbes & on beh, 2015. "Parameter Heterogeneity In Breast Cancer Cost Regressions – Evidence From Five European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 23-37, December.
    10. Moreira S & Pita Barros P, 2009. "Double coverage and demand for health care: Evidence from quantile regression," Health, Econometrics and Data Group (HEDG) Working Papers 09/21, HEDG, c/o Department of Economics, University of York.
    11. Jun-You Lin & Chih-Hai Yang, 2020. "Heterogeneity in industry–university R&D collaboration and firm innovative performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 1-25, July.
    12. Miranda, Alfonso & Trivedi, Pravin K., 2020. "Econometric Models of Fertility," GLO Discussion Paper Series 574, Global Labor Organization (GLO).
    13. Viviana Carcaiso & Leonardo Grilli, 2023. "Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1061-1082, October.
    14. Alguacil, Maite & Martí, Josep & Orts, Vicente, 2017. "Firm heterogeneity and the market scope of European multinational activity," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 645-659.
    15. Maricruz Lacalle-Calderon & Manuel Perez-Trujillo & Isabel Neira, 2017. "Fertility and Economic Development: Quantile Regression Evidence on the Inverse J-shaped Pattern," European Journal of Population, Springer;European Association for Population Studies, vol. 33(1), pages 1-31, February.
    16. Samyukta Bhupatiraju, 2022. "Fertility and financial development: an analysis of Indian households," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(2), pages 589-606, April.
    17. repec:fgv:epgrbe:v:66:n:4:a:3 is not listed on IDEAS
    18. Georgios Papadopoulos, 2013. "Immigration Status and Victimization: Evidence from the British Crime Survey," University of East Anglia Applied and Financial Economics Working Paper Series 042, School of Economics, University of East Anglia, Norwich, UK..

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    More about this item

    Keywords

    Fertility; Count data; Quantile regression; J13; J15; C25;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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