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Found 4 papers, 3 papers with code
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis
However, it is not obvious that whether solving one MPI indicator might resolve or cause more issues in other MPI indicators and there is no framework dedicating to infer empirical causal relations among MPI indicators.
Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient
The study of income inequality is well received through the Gini coefficient, which is used to measure degrees of inequality in general.
A nonparametric framework for inferring orders of categorical data from category-real ordered pairs
Given a dataset of careers and incomes, how large a difference of income between any pair of careers would be?
Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income
Hence, the policy makers can plan to establish the policies by using these indicators in our results as a guideline to solve low-income issues.
