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

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  • Alfonso Miranda

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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://hdl.handle.net/10.1007/s00148-007-0154-7
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Bibliographic Info

Article provided by Springer in its journal Journal of Population Economics.

Volume (Year): 21 (2008)
Issue (Month): 1 (January)
Pages: 67-81

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Handle: RePEc:spr:jopoec:v:21:y:2008:i:1:p:67-81

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Related research

Keywords: Fertility; Count data; Quantile regression; J13; J15; C25;

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References

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  1. Hans-Peter Kohler, 1997. "Learning in social networks and contraceptive choice," Demography, Springer, vol. 34(3), pages 369-383, August.
  2. 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.
  3. 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, .
  4. 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.
  5. 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.
  6. 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.
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Citations

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Cited by:
  1. Thomas Baudin, 2012. "More on Religion and Fertility: The French Connection," Working Papers hal-00993310, HAL.
  2. 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.
  3. 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..
  4. 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.
  5. 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.
  6. 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.
  7. Booth, Alison L. & Kee, Hiau Joo, 2006. "Intergenerational Transmission of Fertility Patterns in Britain," IZA Discussion Papers 2437, Institute for the Study of Labor (IZA).
  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. Thomas Baudin, 2008. "Religion and fertility : the French connection," Documents de travail du Centre d'Economie de la Sorbonne v08089, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  10. repec:hal:journl:halshs-00348829 is not listed on IDEAS
  11. 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.

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