DeepAI AI Chat
Log In Sign Up

Explaining the Decline of Child Mortality in 44 Developing Countries: A Bayesian Extension of Oaxaca Decomposition Methods

09/11/2020
by   Antonio P. Ramos, et al.
0

We investigate the decline of infant mortality in 42 low and middle income countries (LMIC) using detailed micro data from 84 Demographic and Health Surveys. We estimate infant mortality risk for each infant in our data and develop a novel extension of Oaxaca decomposition to understand the sources of these changes. We find that the decline in infant mortality is due to a declining propensity for parents with given characteristics to experience the death of an infant rather than due to changes in the distributions of these characteristics over time. Our results suggest that technical progress and policy health interventions in the form of public goods are the main drivers of the the recent decline in infant mortality in LMIC.

READ FULL TEXT

page 25

page 26

page 27

page 28

page 29

page 31

01/31/2020

Harmonizing Child Mortality Data at Disparate Geographic Levels

There is an increasing focus on reducing inequalities in health outcomes...
03/05/2019

An Efficient Production Process for Extracting Salivary Glands from Mosquitoes

Malaria is the one of the leading causes of morbidity and mortality in m...
04/14/2020

Quantifying Community Characteristics of Maternal Mortality Using Social Media

While most mortality rates have decreased in the US, maternal mortality ...