Economic Activity and Child Mortality in 66 Low-Income Countries, 1980-2010
by Ying-Chih Chuang·Updated 6y ago
Available on 1 platform
Sign in to view source links and access this dataset
Description
1980 to 2010 longitudinal data from 66 low-income countries, with 1,497 country-year observations. The dataset examines interrelationships among economic characteristics, ecological footprints, CO2 emissions, infant mortality, and under-5 mortality rates. It was compiled by Ying-Chih Chuang from sources including World Development Indicators and the Global Footprint Network.
Use Cases
Model the relationship between economic activities and infant mortality rates across sub-Saharan Africa, Latin America, and other regions.
Analyze how export intensity and foreign investment correlate with under-5 mortality rates in different geographic regions.
Investigate the association between CO2 emissions and ecological footprints with economic characteristics like export intensity.
Examine regional variations in how the percentage of exports to high-income countries relates to ecological footprints.
Spans a 30-year time range (1980-2010) across 66 low-income countries.
Integrates data from multiple authoritative sources including UN Commodity Trade Statistics and Polity IV Project.
Limitations
Data represents country-level averages, lacking individual or sub-national granularity.
Temporal coverage ends in 2010, limiting analysis of recent trends.
Analysis is restricted to low-income countries, limiting generalizability to other economic contexts.
Provenance
Source
World Development Indicators, UN Commodity Trade Statistics Database, Global Footprint Network, Polity IV Project.
Collection Method
Aggregated from cited international databases for a longitudinal ecological study.
Time Range
1980 to 2010.
Freshness
Last updated in June 2020.
Geography
66 low-income countries, analyzed separately by sub-Saharan Africa, Latin America, and other regions.
Data is provided under a CC0 1.0 Public Domain Dedication license. The original study used linear mixed models with a spatial power covariance structure; replicating analyses may require advanced statistical software.