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Dweepobotee Brahma
Observed name:
Brahma, Dweepobotee
Institution:
Indian Institute of Technology Jodhpur
Observed institutions:
Brookings Institution,
Indian Institute of Technology Jodhpur,
National Institute of Public Finance and Policy
ORCID:
0000-0002-2421-2927
Observed ORCID:
0000-0002-2421-2927
OpenAlex ID:
A5029081253
Early Warning Signs: Targeting Neonatal and Infant Mortality Using Machine Learning
2020
·
Dweepobotee Brahma
, Debasri Mukherjee
·
Applied Economics
·
14
Infant malnutrition, clean-water access and government interventions in India: a machine learning approach towards causal inference
2020
·
Dweepobotee Brahma
, Debasri Mukherjee
·
Applied Economics Letters
·
5
India's Universal Immunization Program: a lesson from Machine Learning
2019
·
Dweepobotee Brahma
·
RePEc: Research Papers in Economics
·
1
Essays in the Application of Machine Learning in Development Economics
2019
·
Dweepobotee Brahma
·
1
India’s mid-day Meal program and schooling: an evaluation based on machine learning
2018
·
Dweepobotee Brahma
, Debasri Mukherjee
·
RePEc: Research Papers in Economics
·
1
PDF
The Effect of Inflation Targeting Policies on Dollarization-A Cross-Country Analysis
2017
·
Dweepobotee Brahma
·
ScholarWorks - WMU (Western Michigan University)
·
1
PDF
Inequality of opportunity in child health: evidence from India
2026
·
Dweepobotee Brahma
, Souvik Ghosh
·
Indian Economic Review
Decision Trees and Random Forest to Predict Rare Events: Case of Child Health in India
2026
·
Dweepobotee Brahma
, Debasri Mukherjee
·
Contributions to management science
The Un'Healthy' Gaps: Evidence on Gendered Faultlines in Digital Healthcare Services
2026
·
Brahma, Dweepobotee
, Sangwan, Nikita
·
Econstor (Econstor)
Maternal circumstances and intergenerational transmission of health: A model-based recursive partitioning approach from Machine Learning
2025
·
Dweepobotee Brahma
, Souvik Ghosh
·
Economics & Human Biology
Policy complementarities in achieving universal immunisation coverage in India
2020
·
Dweepobotee Brahma
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Works count:
12
Citation count:
23
H-index:
2
I10-index:
1
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