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Predicting inequality of opportunity and poverty in India using machine learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting inequality of opportunity and poverty in India using machine learning/ by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote.
Author:	Mehta, Balwant Singh.
other author:	Srivastava, Ravi.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxi, 169 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Equality - Data processing. - India -
Online resource:	https://doi.org/10.1007/978-981-96-2544-4
ISBN:	9789819625444

Predicting inequality of opportunity and poverty in India using machine learning
Mehta, Balwant Singh.

Predicting inequality of opportunity and poverty in India using machine learning[electronic resource] /by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote. - Singapore :Springer Nature Singapore :2025. - xxi, 169 p. :ill. (some col.), digital ;24 cm. - 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.

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.

ISBN: 9789819625444

Standard No.: 10.1007/978-981-96-2544-4doiSubjects--Topical Terms:

3785998
Equality
--Data processing.--India

LC Class. No.: HM821

Dewey Class. No.: 305.50954

Predicting inequality of opportunity and poverty in India using machine learning
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505 0 $a 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.
506 $a Open access.
520 $a 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.
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