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Planned Fertility and Family Background: A Quantile Regression for Counts Analysis

Author

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  • Alfonso Miranda

    (Department of Economics, Keele,)

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.

Suggested Citation

  • Alfonso Miranda, 2005. "Planned Fertility and Family Background: A Quantile Regression for Counts Analysis," Keele Economics Research Papers KERP 2005/07, Centre for Economic Research, Keele University.
    • Handle: RePEc:kee:kerpuk:2005/07
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    File URL: http://www.keele.ac.uk/depts/ec/wpapers/kerp0507.pdf
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    Cited by:

    1. Popp, David & Santen, Nidhi & Fisher-Vanden, Karen & Webster, Mort, 2013. "Technology variation vs. R&D uncertainty: What matters most for energy patent success?," Resource and Energy Economics, Elsevier, vol. 35(4), pages 505-533.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. repec:fgv:epgrbe:v:66:n:4:a:3 is not listed on IDEAS
    8. Miranda, Alfonso & Trivedi, Pravin K., 2020. "Econometric Models of Fertility," IZA Discussion Papers 13357, Institute of Labor Economics (IZA).
    9. Thomas Baudin, 2012. "More on Religion and Fertility: The French Connection," Working Papers hal-00993310, HAL.
    10. 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.
    11. Ngoma, Hambulo & Marenya, Paswel & Tufa, Adane & Alene, Arega & Matin, Md Abdul & Thierfelder, Christian & Chikoye, David, 2023. "Too fast or too slow: The speed and persistence of adoption of conservation agriculture in southern Africa," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365867, African Association of Agricultural Economists (AAAE).
    12. 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.
    13. 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.
    14. 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..
    15. 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.
    16. 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.
    17. Seonho Shin, 2025. "The impact of COVID-19 on cultural and arts activities: evidence from a large-scale micro-level survey in South Korea," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 49(1), pages 193-229, March.
    18. 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.
    19. 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.
    20. 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.
    21. Lindahl, Jonas & Danell, Rickard & Litson, Kaylee & Feldon, David F., 2025. "Sex differences in research productivity among doctoral students in Sweden: A quantile regression approach," Journal of Informetrics, Elsevier, vol. 19(3).

    More about this item

    Keywords

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    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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