Mehta, Balwant Singh. Predicting Inequality of Opportunity and Poverty in India Using Machine Learning [electronic resource] / / by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote.. — 1st ed. 2025.. — XXI, 169 p. 42 illus., 37 illus. in color. : online resource. — (India Studies in Business and Economics,) 2198-0020. - India Studies in Business and Economics, .
Introduction -- Concept and Measurement of IOp -- Decomposition of Inequality of Opportunity -- Predicting Poverty with Machine Learning and Geospatial Data -- Inequality of Opportunity in Education -- Inequality of Opportunity in Health Care Services -- Conclusion and Way Forward.
Open Access
Анотація: 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.
9789819625444
10.1007/978-981-96-2544-4 doi
Development economics. Economic policy. Social policy. Labor economics. Development Economics. Socio-Economic Policy. Labor Economics.