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Predicting Inequality of Opportunity and Poverty in India Using Machine Learning / by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote.
Springer Nature - Springer Nature Link Journals and eBooks - Fully Open Access Available online
View online- Format:
- Book
- Author/Creator:
- Mehta, Balwant Singh, Author.
- Śrīvāstava, Ravi, Author.
- Dhote, Siddharth., Author.
- Series:
- India Studies in Business and Economics, 2198-0020
- Language:
- English
- Subjects (All):
- Development economics.
- Economic policy.
- Social policy.
- Labor economics.
- Development Economics.
- Socio-Economic Policy.
- Labor Economics.
- Local Subjects:
- Development Economics.
- Socio-Economic Policy.
- Labor Economics.
- Physical Description:
- 1 online resource (XXI, 169 p. 42 illus., 37 illus. in color.)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9625-44-0
- OCLC:
- 1524421689
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