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Mehta / Dhote / Srivastava

Predicting Inequality of Opportunity and Poverty in India Using Machine Learning

Medium: Buch
ISBN: 978-981-962543-7
Verlag: Springer Nature Singapore
Erscheinungstermin: 23.04.2025
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9789819625437
  • Medium: Buch
  • ISBN: 978-981-962543-7
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 23.04.2025
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2025
  • Serie: India Studies in Business and Economics
  • Produktform: Gebunden
  • Gewicht: 457 g
  • Seiten: 169
  • Format (B x H x T): 160 x 241 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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.