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Survival Analysis of Very Low Birth Weight Infant Mortality in Taiwan

Author

Listed:
  • Chia-Lin Chang

    (Department of Applied Economics, Department of Finance, National Chung Hsing University, Taiwan.)

  • Wei-Chen Chen

    (Department of Applied Economics National Chung Hsing University.)

  • Michael McAleer

    (Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam and Tinbergen Institute, The Netherlands, Department of Quantitative Economics, Complutense University of Madrid, and Institute of Economic Research, Kyoto University.)

Abstract

This paper examines the determinants of very low birth weight infant (or neonatal) mortality using the Taiwan National Health Insurance Research database from 1997 to 2009. After infants are discharged from hospital, it is not possible to track their mortality, so the Cox proportional hazard model is used to analyze the very low birth weight infant mortality rate. In order to clarify treatment responsibility and to avoid selective referral effects, we use the number of infants treated in the preceding five years to observe the effect of a physician’s and hospital’s medical experience on the mortality rate of hospitalized minimal birth weight infants. The empirical results show that, given disease control variables, a higher infant weight, higher quality hospitals, increased hospital medical experience, and higher investment in pediatrics can reduce the mortality rate significantly. However, an increased physician’s medical experience does not seem to influence significantly the very low birth weight infant mortality rate.

Suggested Citation

  • Chia-Lin Chang & Wei-Chen Chen & Michael McAleer, 2014. "Survival Analysis of Very Low Birth Weight Infant Mortality in Taiwan," Documentos de Trabajo del ICAE 2014-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Handle: RePEc:ucm:doicae:1421
    Note: The authors wish to thank the Taiwan National Health Research Institutes for providing the data, and the National Science Council, Taiwan for financial support. The third author also wishes to acknowledge the Australian Research Council for financial support. Corresponding author: changchialin@nchu.edu.tw Tel: +886 (04)22840350 ext 309; Fax: +886(04)22860255.
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    Keywords

    Very low birth weight; Neonatal mortality; Physician’s infant experience; Hospital infant experience; Statistical analysis; Cox proportional hazard model; Selective referral; Taiwan National Health Insurance Scheme.;
    All these keywords.

    JEL classification:

    • N - Economic History
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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