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| Autore: |
Mehta Balwant Singh
|
| Titolo: |
Predicting Inequality of Opportunity and Poverty in India Using Machine Learning / / by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote
|
| 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 ![]() |
| ISBN: | 981-9625-44-0 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910997189903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilitĂ qui |