LEADER 03258nam 22006255 450 001 9910997189903321 005 20250423130223.0 010 $a981-9625-44-0 024 7 $a10.1007/978-981-96-2544-4 035 $a(CKB)38537985000041 035 $a(DE-He213)978-981-96-2544-4 035 $a(MiAaPQ)EBC32077072 035 $a(Au-PeEL)EBL32077072 035 $a(OCoLC)1524421689 035 $a(EXLCZ)9938537985000041 100 $a20250423d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPredicting Inequality of Opportunity and Poverty in India Using Machine Learning /$fby Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XXI, 169 p. 42 illus., 37 illus. in color.) 225 1 $aIndia Studies in Business and Economics,$x2198-0020 311 08$a981-9625-43-2 327 $aIntroduction -- 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. 330 $aThis open-access book combines traditional economic methods with newer machine learning techniques such as regression trees and random forests to analyse data and provide an in-depth analysis of inequality of opportunity and poverty in India. Using data from national surveys and unique sources like night-time satellite images and location data of points of interest, it explores different aspects of inequality and poverty. The book adopts a unique interdisciplinary approach, blending theories and methods from sociology, economics, geography, anthropology, and computer science to explore three key aspects of human well-being: income, health, and education, focusing on regional disparities. It aims to offer practical insights for policymakers and researchers who want to address social and economic inequalities in India. 410 0$aIndia Studies in Business and Economics,$x2198-0020 606 $aDevelopment economics 606 $aEconomic policy 606 $aSocial policy 606 $aLabor economics 606 $aDevelopment Economics 606 $aSocio-Economic Policy 606 $aLabor Economics 615 0$aDevelopment economics. 615 0$aEconomic policy. 615 0$aSocial policy. 615 0$aLabor economics. 615 14$aDevelopment Economics. 615 24$aSocio-Economic Policy. 615 24$aLabor Economics. 676 $a338.9 700 $aMehta$b Balwant Singh$4aut$4http://id.loc.gov/vocabulary/relators/aut$0954307 702 $aS?ri?va?stava$b Ravi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aDhote$b Siddharth$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910997189903321 996 $aPredicting Inequality of Opportunity and Poverty in India Using Machine Learning$94375234 997 $aUNINA