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Bayesian analysis of an econometric model of birth inputs and outputs

Author

Listed:
  • Kai Li
  • Dale J. Poirier

Abstract

This study offers a simultaneous equations model of the birth process with seven endogenous variables: four birth inputs (maternal smoking, maternal drinking, first trimester prenatal care, and maternal weight gain) and three birth outputs (gestational age, birth length, and birth weight). The data are taken from the National Longitudinal Survey of Youth. Our analysis conditions on twenty-nine exogenous variables including four racial dummies to account for the widely cited racial differences in birth outputs. We find that there is sizeable correlation between the disturbances in the four input and three output equations and among output disturbances, and that results from our simultaneous equations model are substantially different from those using the single-equation approach. It appears that the High/Low Risk Birth Weight Puzzle remains unresolved under our modeling framework. Copyright Springer-Verlag 2003

Suggested Citation

  • Kai Li & Dale J. Poirier, 2003. "Bayesian analysis of an econometric model of birth inputs and outputs," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(3), pages 597-625, August.
    • Handle: RePEc:spr:jopoec:v:16:y:2003:i:3:p:597-625
    DOI: 10.1007/s00148-003-0152-3
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    Citations

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    Cited by:

    1. Ana I. Balsa & Patricia Triunfo, 2012. "The Effectiveness of Prenatal Care in a Low Income Population: A Panel Data Approach," Documentos de Trabajo/Working Papers 1204, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    2. Habibov, Nazim N. & Fan, Lida, 2011. "Does prenatal healthcare improve child birthweight outcomes in Azerbaijan? Results of the national Demographic and Health Survey," Economics & Human Biology, Elsevier, vol. 9(1), pages 56-65, January.
    3. Mamadou Saliou Balde, 2020. "Soins prénatals et accouchement assisté en Guinée," Working Papers hal-02568708, HAL.
    4. Hope Corman & Dhaval Dave & Nancy E. Reichman, 2018. "Evolution of the Infant Health Production Function," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 6-47, July.
    5. Li Mingliang & Tobias Justin L, 2006. "Bayesian Analysis of Structural Effects in an Ordered Equation System," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-24, December.
    6. R. Todd Jewell, 2007. "Prenatal care and birthweight production: evidence from South America," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 415-426.
    7. Tim Bersak & Lyudmyla Sonchak‐Ardan, 2022. "Prenatal care: Mechanisms and impacts on infant health and health care utilization," Contemporary Economic Policy, Western Economic Association International, vol. 40(1), pages 48-65, January.
    8. Todd Jewell & Patricia Triunfo & Rafael Aguirre, 2004. "Impacto de los cuidados Prenatales en el Peso al Nacer: El Caso del Uruguay," Documentos de Trabajo (working papers) 0704, Department of Economics - dECON.
    9. Ana Inés Balsa & Patricia Triunfo, 2012. "¿Son los cuidados prenatales efectivos? Un enfoque con datos individuales de panel," Documentos de Trabajo (working papers) 0612, Department of Economics - dECON.
    10. R. Todd Jewell & Patricia Triunfo, 2006. "Bajo peso al nacer en Uruguay: implicaciones para las políticas de salud," Documentos de Trabajo (working papers) 1706, Department of Economics - dECON.

    More about this item

    Keywords

    Birth weight; NLSY; simultaneity; I12; J13; C11;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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