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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9002304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jiangwei infantmortalityandinflationinchinabasedonthemixedfrequencyvaranalyses AT liuxinyi infantmortalityandinflationinchinabasedonthemixedfrequencyvaranalyses |