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The Role of Socio-economic and Female Indicators on Child Mortality Rate in Bangladesh

A Time Series Analysis

Datos Bibliográficos

ID13629982
AutoresMohammad Mafizur Rahman (0000-0002-7950-1961, University of Southern Queensland), Khosrul Alam (0000-0002-0025-7821, Gopalganj Science and Technology University, autor de correspondencia)
Año2021
Volumen86
Número3
Páginas889-912
Fecha de publicación2021-02-10
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaOMEGA - Journal of Death and Dying (JOURNAL)
Identificadores de la revistaISSN: 0030-2228 • E-ISSN: 1541-3764
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/0030222821993616
PMID33567983
OpenAlexW3128944552
IdiomaEN
Citas recibidas7
Referencias citadas37

This study aims to identify the role of socio-economic and female indicators on child mortality in Bangladesh from the data of 1975 - 2019. A number of econometric techniques of time series analysis like Augmented Dickey-Fuller, Autoregressive Distributive Lag bounds and pair-wise Granger causality tests have been applied to ascertain the desired outcomes. The Augmented Dickey-Fuller test has confirmed that neither series is integrated at level two and the Autoregressive Distributive Lag bounds testing approach has shown the cointegration and short-run and long-run relationship between the variables. Total fertility rate and urbanization have a positive effect, and female education, female life expectancy at birth, and economic growth rate have a negative effect on the child mortality rate. The pair-wise Granger causality test has shown the unidirectional and bidirectional causal relationship among the studied variables. All the outcomes are theoretically consistent and the policy recommendations are made based on findings

Autoregressive integrated moving average · Autoregressive model · Biology · Causality (physics · Cointegration · Distributed lag · Distributive property · Econometrics · Economics · Granger causality · Lag · Life expectancy · Population · Series (stratigraphy · Statistics · Time series · Agricultural risk and resilience · Computer Science · COVID-19 Pandemic Impacts · Demography · Global Health Care Issues · Mathematics

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Obras citantes distintas7
Citas por año1,75
Intervalo de citas2022 - 2026 (5)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 7
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