Infant malnutrition, clean-water access and government interventions in India: a machine learning approach towards causal inference

被引：3
作者：
Brahma, Dweepobotee [1 ]
Mukherjee, Debasri [2 ]
机构：
[1] Brookings Inst India Ctr, New Delhi, India
[2] Western Michigan Univ, Econ, Kalamazoo, MI 49008 USA
来源：
APPLIED ECONOMICS LETTERS | 2021年 / 28卷 / 16期
关键词：
Infant malnutrition; clean water; debiased machine learning; government policies; GROWTH; WORLDWIDE;
D O I：
10.1080/13504851.2020.1822507
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We use a debiased Machine Learning technique to explore causes behind infant malnutrition for households below-poverty-line in India and examine effectiveness of various government interventions along with other factors. Our analysis reveals that access to clean water is one of the most crucial issues to focus on.
引用
收藏
页码：1426 / 1431
页数：6
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