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The Impact of Social and Economic Indicators on Infant Mortality Rate in Bangladesh: A Vector Error Correction Model (VECM) Approach

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Machine Intelligence and Emerging Technologies (MIET 2022)

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Abstract

In the last few years, infant mortality is getting more focused on the development and the results of action. Infant deaths have been reduced significantly in developed countries whereas develo** countries such as Bangladesh are required substantial efforts to reduce infant mortality rates. The goal of this study is to evaluate different aspects of the high infant mortality rate in Bangladesh. It investigates the relationship between infant mortality rate and economic and social variables such as GDP per capita, female literacy rate, female labor force participation, current health expenditure, government expenditure in education, female primary school enrollment, and unemployment rate. Various econometric methods are used to validate this relationship. It was determined whether the series was stationary by employing the unit root test and cointegrated by determining the long-term relationship among variables. Using the Vector Error Correction Model, both long-term and short-term relationships of variables were identified. According to the findings, GDP, expenditure on education, and female labor force participation are associated with lower infant mortality rates. The unemployment rate and female school enrollment are also associated with higher infant mortality rates. According to the error correction term, the short-term shock restores equilibrium at a rate of 3.74%.

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Authors and Affiliations

  1. Noakhali Science and Technology University, Noakhali, 3814, Bangladesh

    Muhmmad Mohsinul Hoque & Md. Shohel Rana

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  1. Muhmmad Mohsinul Hoque
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  2. Md. Shohel Rana
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Correspondence to Muhmmad Mohsinul Hoque .

Editor information

Editors and Affiliations

  1. Noakhali Science and Technology University, Noakhali, Bangladesh

    Md. Shahriare Satu

  2. The University of Queensland, St. Lucia, QLD, Australia

    Mohammad Ali Moni

  3. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  4. Daffodil International University, Dhaka, Bangladesh

    Mohammad Shamsul Arefin

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Hoque, M.M., Rana, M.S. (2023). The Impact of Social and Economic Indicators on Infant Mortality Rate in Bangladesh: A Vector Error Correction Model (VECM) Approach. In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer, Cham. https://doi.org/10.1007/978-3-031-34622-4_48

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  • DOI: https://doi.org/10.1007/978-3-031-34622-4_48

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