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.

This book is open access, which means that you have free and unlimited access Explores critical global challenges of inequality of opportunity and poverty using machine learning techniques Integrates survey data with geo-spatial sources to offer deeper insights Shows valuable resource for policymakers, researchers, and other stakeholders

Autorentext

Balwant Singh Mehta is Professor at the Institute for Human Development (IHD), New Delhi, India. He holds a Ph.D. from Jamia Millia Islamia, New Delhi, and postdoctoral in Economics from ICSSR, New Delhi. He has authored 10 books and published over 75 articles, in national and international journals. His primary research area includes employment and labour, poverty, inequality, child well-being, education and technology. In recognition of his scholarly contributions, he was selected as 'Amy Mahan International Fellow' by the UPF, Spain (2010-11); awarded a 'Research Fellowship' by SIRCA, Singapore (2009-10); and selected as an 'Emerging Researcher' by the International Development Research Centre (IDRC), Canada (2009). He has also received alumni status from the International Training Centre of the ILO. Prof Mehta serves as an Associate Editor of The Indian Journal of Labour Economics (Springer), and regularly contributes opinion pieces and editorials to national dailies.

Ravi Srivastava is Director, Centre for Employment Studies, at Institute for Human Development, New Delhi, India. He was earlier Professor of Economics, and Chairperson, Centre for the Study of Regional Development, Jawaharlal Nehru University, India. He holds a Ph.D. from the University of Cambridge, U.K. His main areas of research and publication include labour and employment, migration, social protection, rural poverty and development, and the informal sector. Prof. Srivastava has published six books, five monographs, more than one hundred and ten papers, and has carried out nearly forty major research projects sponsored by agencies such as UNICEF, ILO, The World Bank, ESRC (UK), UNFPA, University Grants Commission, Indian Council for Social Science Research, Shastri Indo-Canadian Foundation and others.

Siddharth Dhote is Senior Research Associate, at Institute for Human Development, New Delhi, India. He has completed his masters in Development Studies from the International Institute for Social Studies in The Hague. His main research interests focus on social justice, poverty, inequality, employment and labour market.

Inhalt

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.