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Dweepobotee Brahma

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First Name:Dweepobotee
Middle Name:
Last Name:Brahma
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RePEc Short-ID:pbr760
[This author has chosen not to make the email address public]
https://sites.google.com/view/dweepoboteebrahma/home
Twitter: @Dweepobotee

Affiliation

Centre for Mathematical and Computational Economics
Indian Institute of Technology Jodhpur

Jodhpur, India
https://cmceiitj.wordpress.com/
RePEc:edi:cmiijin (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Dweepobotee Brahma & Debasri Mukherjee, 2022. "Early warning signs: targeting neonatal and infant mortality using machine learning," Applied Economics, Taylor & Francis Journals, vol. 54(1), pages 57-74, January.
  2. Dweepobotee Brahma & Debasri Mukherjee, 2021. "Infant malnutrition, clean-water access and government interventions in India: a machine learning approach towards causal inference," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1426-1431, September.
  3. Dweepobotee Brahma & Debasri Mukherjee, 2019. "India's Universal Immunization Program: a lesson from Machine Learning," Economics Bulletin, AccessEcon, vol. 39(1), pages 581-591.
  4. Brahma, D. & Mukherjee, D., 2018. "India’S Mid-Day Meal Program And Schooling: An Evaluation Based On Machine Learning," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 18(1), pages 141-152.

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