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

Luis Gil-Alana, Juncal Cuñado () and Rangan Gupta

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2017, vol. 131, issue 1, No 20, 393-405

Abstract: 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 the 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.

Keywords: Infant mortality rates; Fractional integration; Non-linearities (search for similar items in EconPapers)
JEL-codes: C22 C32 H51 I18 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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Working Paper: Persistence, Mean-Reversion and Non-Linearities in Infant Mortality Rates (2015)
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DOI: 10.1007/s11205-016-1253-1

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