Predicting Inequality of Opportunity and Poverty in India Using Machine Learning
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Beschreibung
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.
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.
This book is open access, which means that you have free and unlimited access Explores critical global challenges of inequality of opportunity and poverty using machine learning techniques Integrates survey data with geo-spatial sources to offer deeper insights Shows valuable resource for policymakers, researchers, and other stakeholders
Autor*in
Balwant Singh Mehta
Themen in »Predicting Inequality of Opportunity and Poverty in India Using Machine Learning«
Open Access 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