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

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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.

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File URL: http://www.keele.ac.uk/depts/ec/wpapers/kerp0507.pdf
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Bibliographic Info

Paper provided by Centre for Economic Research, Keele University in its series Keele Economics Research Papers with number KERP 2005/07.

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Length: 35 pages
Date of creation: May 2005
Date of revision:
Handle: RePEc:kee:kerpuk:2005/07

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Postal: Department of Economics, University of Keele, Keele, Staffordshire, ST5 5BG - United Kingdom
Phone: +44 (0)1782 584581
Fax: +44 (0)1782 717577
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Web page: http://www.keele.ac.uk/depts/ec/cer/
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Postal: Centre for Economic Research, Research Institute for Public Policy and Management, Keele University, Staffordshire ST5 5BG - United Kingdom
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Web: http://www.keele.ac.uk/depts/ec/cer/pubs_kerps.htm

Related research

Keywords: Fertility; Family Background; Count Data; Quantile Regression.;

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References

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  1. Maria Melkersson & Dan-Olof Rooth, 2000. "Modeling female fertility using inflated count data models," Journal of Population Economics, Springer, vol. 13(2), pages 189-203.
  2. Becker, Gary S & Lewis, H Gregg, 1973. "On the Interaction between the Quantity and Quality of Children," Journal of Political Economy, University of Chicago Press, vol. 81(2), pages S279-88, Part II, .
  3. Wei-Jun J. Yeung & Greg J. Duncan & Martha S. Hill, 2001. "Childhood family structure and young adult behaviors," Journal of Population Economics, Springer, vol. 14(2), pages 271-299.
  4. Francisco Covas & J.M.C. Santos Silva, 2000. "A modified hurdle model for completed fertility," Journal of Population Economics, Springer, vol. 13(2), pages 173-188.
  5. Susan Gustavus & Charles Nam, 1970. "The formation and stability of ideal family size among young people," Demography, Springer, vol. 7(1), pages 43-51, February.
  6. Hans-Peter Kohler, 1997. "Learning in social networks and contraceptive choice," Demography, Springer, vol. 34(3), pages 369-383, August.
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Citations

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Cited by:
  1. Patrícia Simões & Ricardo Brito Soares, 2012. "Efeitos do programa bolsa família na fecundidade das beneficiárias," Revista Brasileira de Economia, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 66(4), pages 445-468, December.
  2. Thomas Baudin, 2008. "Religion and Fertility : The French Connection," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00348829, HAL.
  3. Thomas Baudin, 2008. "Religion and Fertility : The French Connection," Post-Print halshs-00348829, HAL.
  4. David Popp & Nidhi Santen & Karen Fisher-Vanden & Mort Webster, 2012. "Technology Variation vs. R&D Uncertainty: What Matters Most for Energy Patent Success?," NBER Working Papers 17792, National Bureau of Economic Research, Inc.
  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, 04.
  6. 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..
  7. Lohr, Luanne & Park, Timothy A., 2012. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(02), May.
  8. 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.
  9. Volpe III, Richard & Park, Timothy & Hennessy, David & Jensen, Helen H., 2013. "Somatic Cell Counts in Dairy Marketing: Quantile Regression for Count Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151425, Agricultural and Applied Economics Association.
  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.

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