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Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses

Reducing neonatal mortality is an important goal in the Sustainable Development Goals (SDGs), and with the outbreak of the new crown epidemic and severe global inflation, it is extremely important to explore the relationship between inflation and infant mortality. This paper investigates the causal...

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Autores principales: Jiang, Wei, Liu, Xin-yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002304/
https://www.ncbi.nlm.nih.gov/pubmed/35425759
http://dx.doi.org/10.3389/fpubh.2022.851714
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author Jiang, Wei
Liu, Xin-yi
author_facet Jiang, Wei
Liu, Xin-yi
author_sort Jiang, Wei
collection PubMed
description Reducing neonatal mortality is an important goal in the Sustainable Development Goals (SDGs), and with the outbreak of the new crown epidemic and severe global inflation, it is extremely important to explore the relationship between inflation and infant mortality. This paper investigates the causal relationship between inflation and infant mortality using a mixed frequency vector autoregressive model (MF-VAR) without any filtering procedure, along with impulse response analysis and forecast misspecification variance decomposition, and compares it with a low frequency vector autoregressive model (LF-VAR). We find that there is a causal relationship between inflation and infant mortality, specifically, that is inflation increases infant mortality. Moreover, the contribution of CPI to IMR is greater in the forecast error variance decomposition in the MF-VAR model compared to the LF-VAR model, indicating that CPI has stronger explanatory power for IMR in mixed-frequency data. The results of the study have important implications for China and other developing countries in reducing infant mortality and achieving the Sustainable Development Goals (SDGs). Policymakers should focus on inflation as a macroeconomic variable that reduces the potential negative impact of inflation on infant mortality. The results of the analysis further emphasize the importance of price stability in the context of global inflation caused by the outbreak of the coronavirus pandemic outbreak.
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spelling pubmed-90023042022-04-13 Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses Jiang, Wei Liu, Xin-yi Front Public Health Public Health Reducing neonatal mortality is an important goal in the Sustainable Development Goals (SDGs), and with the outbreak of the new crown epidemic and severe global inflation, it is extremely important to explore the relationship between inflation and infant mortality. This paper investigates the causal relationship between inflation and infant mortality using a mixed frequency vector autoregressive model (MF-VAR) without any filtering procedure, along with impulse response analysis and forecast misspecification variance decomposition, and compares it with a low frequency vector autoregressive model (LF-VAR). We find that there is a causal relationship between inflation and infant mortality, specifically, that is inflation increases infant mortality. Moreover, the contribution of CPI to IMR is greater in the forecast error variance decomposition in the MF-VAR model compared to the LF-VAR model, indicating that CPI has stronger explanatory power for IMR in mixed-frequency data. The results of the study have important implications for China and other developing countries in reducing infant mortality and achieving the Sustainable Development Goals (SDGs). Policymakers should focus on inflation as a macroeconomic variable that reduces the potential negative impact of inflation on infant mortality. The results of the analysis further emphasize the importance of price stability in the context of global inflation caused by the outbreak of the coronavirus pandemic outbreak. Frontiers Media S.A. 2022-03-29 /pmc/articles/PMC9002304/ /pubmed/35425759 http://dx.doi.org/10.3389/fpubh.2022.851714 Text en Copyright © 2022 Jiang and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Jiang, Wei
Liu, Xin-yi
Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses
title Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses
title_full Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses
title_fullStr Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses
title_full_unstemmed Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses
title_short Infant Mortality and Inflation in China: Based on the Mixed Frequency VAR Analyses
title_sort infant mortality and inflation in china: based on the mixed frequency var analyses
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002304/
https://www.ncbi.nlm.nih.gov/pubmed/35425759
http://dx.doi.org/10.3389/fpubh.2022.851714
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