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Predicting Inequality of Opportunity and Poverty in India Using Machine Learning / / by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote



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Autore: Mehta Balwant Singh Visualizza persona
Titolo: Predicting Inequality of Opportunity and Poverty in India Using Machine Learning / / by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (XXI, 169 p. 42 illus., 37 illus. in color.)
Disciplina: 338.9
Soggetto topico: Development economics
Economic policy
Social policy
Labor economics
Development Economics
Socio-Economic Policy
Labor Economics
Persona (resp. second.): ŚrīvāstavaRavi
DhoteSiddharth
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Predicting Inequality of Opportunity and Poverty in India Using Machine Learning  Visualizza cluster
ISBN: 981-9625-44-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910997189903321
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Serie: India Studies in Business and Economics, . 2198-0020