Predicting Inequality of Opportunity and Poverty in India using Machine Learning
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.
| Autor: | Dhote, Siddharth Mehta, Balwant Singh Srivastava, Ravi |
|---|---|
| ISBN: | 9789819625437 |
| Sprache: | Englisch |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
| Veröffentlicht: | 10.08.2025 |
| Schlagworte: | Educational Inequality Health Equity Human Well-Being Income Disparity Inequality of Opportunity in India Machine Learning Techniques Open Access Poverty Analysis Regional Inequality Socio-Economic Disparities |
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