Persistence, mean-reversion and non-linearities in infant mortality rates
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Date
Authors
Gil-Alana, Luis A.
Cunado, Juncal
Gupta, Rangan
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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.
Description
Keywords
Infant mortality rates, Fractional integration, Non-linearities
Sustainable Development Goals
Citation
Gil-Alana, L.A., Cunado, J. & Gupta, R. Persistence, mean-reversion and non-linearities in infant mortality rates. Social Indicators Research (2017) 131: 393-405. doi:10.1007/s11205-016-1253-1