Predicting Inequality of Opportunity and Poverty in India Using Machine Learning

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Date

13 mai 2025

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OAPEN Library Society and social sciences

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Ce document est lié à :
India Studies in Business and Economics

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Open Access Publishing in European Networks

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OAPEN

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open access

Mots-clés Und

Inequality of Opportunity in India Poverty Analysis Machine Learning Techniques Socio-Economic Disparities Regional Inequality Human Well-Being Income Disparity Health Equity Educational Inequality Data-Driven Research Sustainable Development Geo-Spatial Data

Sujets proches En

Social inequality Social equality Inequality Egalitarianism

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Balwant Singh Mehta et al., « Predicting Inequality of Opportunity and Poverty in India Using Machine Learning », OAPEN Library Society and social sciences, ID : 10670/1.cf4cde...

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This open-access book combines traditional economic methods with newer machine learning techniques such as regression trees and random forests to analyse data and provide an in-depth analysis of inequality of opportunity and poverty in India. Using data from national surveys and unique sources like night-time satellite images and location data of points of interest, it explores different aspects of inequality and poverty. The book adopts a unique interdisciplinary approach, blending theories and methods from sociology, economics, geography, anthropology, and computer science to explore three key aspects of human well-being: income, health, and education, focusing on regional disparities. It aims to offer practical insights for policymakers and researchers who want to address social and economic inequalities in India.

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