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  <Article>
    <Journal>
      <PublisherName>ajhe</PublisherName>
      <JournalTitle>African Journal of Health Economics</JournalTitle>
      <PISSN>C</PISSN>
      <EISSN>o</EISSN>
      <Volume-Issue/>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season/>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Review &amp; Research</ArticleType>
      <ArticleTitle>SOCIO-ECONOMIC DETERMINANTS OF INFANT MORTALITY RATE IN NIGERIA: EVIDENCE FROM AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) TECHNIQUE USING TIME SERIES DATA.
</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>0</FirstPage>
      <LastPage>0</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Emomine</FirstName>
          <LastName>Odjesa</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Abstract

Background: The high infant mortality rate (IMR) in Nigeria, in comparison to other African countries and the world at large, has been a major public health concern while considering the fact that the 3rd Sustainable Development Goal (SDG) aims to ensure healthy lives and promote well-being for all people of all ages by the year 2030. This study, therefore, examined the socio-economic determinants of IMR in Nigeria in both the short and the long-run periods.

Methods: Data was obtained mainly from the World Bank’s World Development Indicator (WDI) database spanning from the year 1990 to 2018. The theoretical framework for this paper was adapted from the Grossman health production function model. The Autoregressive Distributed Lag (ARDL) technique was used for both the short- and long-run analysis. 

Findings: This study revealed that in the long-run, from all the independent variables, only the total fertility rate and Carbon IV Oxide (CO2) significantly increased IMR. On the other hand, Gross Domestic Product (GDP) per capita (as a proxy for wealth or income level status), public health expenditure, and primary gross educational enrolment level for females all significantly decreased the IMR.

Conclusion: From the empirical evidence, it was suggested that adequate attention should be given by Government to increasing public health expenditure, reducing poverty, and also, improving the formal educational level of girls and women. This will in turn help in the much-needed reduction of IMR in Nigeria, working towards the attainment of the SDGs. 

Keywords: ARDL, infant mortality rate, socio-economic determinants, Grossman’s health production function, Nigeria</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>ARDL, infant mortality rate, socio-economic determinants, Grossman’s health production function, Nigeria,ARDL, infant mortality rate, socio-economic determinants, Grossman’s health production function, Nigeria</Keywords>
      <URLs>
        <Abstract>https://ajhe.org.in/ubijournal-v1copy/journals/abstract.php?article_id=13392&amp;title=SOCIO-ECONOMIC DETERMINANTS OF INFANT MORTALITY RATE IN NIGERIA: EVIDENCE FROM AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) TECHNIQUE USING TIME SERIES DATA.</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
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