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Persistence, Mean-Reversion and Non-Linearities in Infant Mortality Rates

Author

Listed:
  • Luis A. Gil-Alana

    (University of Navarra, Pamplona, Spain)

  • Juncal Cunado

    (University of Navarra, Pamplona, Spain)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

This study examines the time series behavior of infant mortality rates within a long memory approach with non-linear trends using data for 37 countries. The main results show significant differences both in the degree of integration and non-linearities among the analyzed series. Furthermore, non-linearities in the time trends are found in most of cases, in contrast with the main assumption of linearity used in the literature. Finally, the results on the integration order of the series have important policy implications in many areas, such as on international convergence in mortality rates, on the income and infant mortality relationship, and, on whether health policy interventions will have transitory or permanent effects on infant mortality rates.

Suggested Citation

  • Luis A. Gil-Alana & Juncal Cunado & Rangan Gupta, 2015. "Persistence, Mean-Reversion and Non-Linearities in Infant Mortality Rates," Working Papers 201574, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201574
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    References listed on IDEAS

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    9. Luis A. Gil‐Alana, 2008. "Fractional integration and structural breaks at unknown periods of time," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 163-185, January.
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    15. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2015. "Infant mortality rates: time trends and fractional integration," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 589-602, March.
    16. Luis A. Gil-Alana & Javier Hualde, 2009. "Fractional Integration and Cointegration: An Overview and an Empirical Application," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 10, pages 434-469, Palgrave Macmillan.
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    Citations

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    Cited by:

    1. Yaya O. S. & Akintande O. J. & Ogbonna A. E. & Adegoke H. M., 2019. "Cpi Inflation In Africa: Fractional Persistence, Mean Reversion And Nonlinearity," Statistics in Transition New Series, Polish Statistical Association, vol. 20(3), pages 119-132, September.
    2. Guglielmo Maria Caporale & Juan Infante & Marta Rio & Luis A. Gil-Alana, 2023. "Persistence in UK Historical Data on Life Expectancy," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-11, August.
    3. Sakiru Adebola Solarin & Luis A. Gil-Alana & Maria Jesus Gonzalez-Blanch, 2021. "Fractional persistence in income poverty in Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 563-581, June.
    4. repec:exl:29stat:v:20:y:2019:i:3:p:119- is not listed on IDEAS
    5. Ming-Chang Tsai & Tsui-o Tai, 2018. "How are Mothers Faring across the Globe? Constructing a new Mothers’ Well-Being Index and Assessing Its Validity," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(3), pages 647-670, September.

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    More about this item

    Keywords

    Infant mortality rates; fractional integration; non-linearities;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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