"Maternal circumstances and intergenerational transmission of health: A model-based recursive partitioning approach from Machine Learning" with Souvik Ghosh
Economics and Human Biology, 2025, Vol 59
"Early Warning Signs: Targeting Neonatal and Infant Mortality using Machine Learning" with Debasri Mukherjee
Applied Economics, 2022, Vol 54 (1).
Coverage: Thread Ideas for India
"Infant malnutrition, clean-water access and government interventions in India: A Machine Learning approach towards causal inference" with Debasri Mukherjee
Applied Economics Letters, 2021, Vol 28 (16).
Coverage: Econthatmatters Thread
"Policy Complementarities in Achieving Universal Immunization Coverage in India” with Debasri Mukherjee
Economic and Political Weekly, 2020, Vol 55 (38).
Thread
"India’s Universal Immunization Program: A lesson from Machine Learning” with Debasri Mukherjee
Economics Bulletin, 2019, Vol 39(1).
“India’s Mid-day meal program and schooling: An evaluation based on Machine Learning” with Debasri Mukherjee
Applied Econometrics and International Development, 2018, Vol 18(1).
“Decision Trees and Random Forest to Predict Rare Events: Case of Child Health in India” with Debasri Mukherjee in Data Science for Modeling Managerial and Socioeconomic Problems edited by Faiz Hamid, Deep Mukherjee, Springer, 2026
"Inequality of Opportunity in Child Health: Evidence from India" with Souvik Ghosh (under review)
"The Un‘Healthy’ Gaps: Evidence on Gendered Fault lines in Digital Healthcare Services" with Nikita Sangwan (submitted)