"Inequality of Opportunity in Child Health: Evidence from India" with Souvik Ghosh
Indian Economic Review, 2026
"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
Funding: Google India Research Award
"Early Warning Signs: Targeting Neonatal and Infant Mortality using Machine Learning" with Debasri Mukherjee
Applied Economics, 2022, Vol 54 (1). Coverage: 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
"Policy Complementarities in Achieving Universal Immunization Coverage in India” with Debasri Mukherjee
Economic and Political Weekly, 2020, Vol 55 (38).
"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
"The Un‘Healthy’ Gaps: Evidence on Gendered Fault lines in Digital Healthcare Services" with Nikita Sangwan
'Mind the (Pension) Gap: Evidence on Household Responses to Pension Interruptions’ with Mayank Kumar Yadav*
‘Does Income Support in Old Age Improve Disease Detection? Evidence from India’ with Mayank Kumar Yadav*
‘Targeting financial risk protection: Identifying households at risk of catastrophic health expenditure in India’ with Yash Shrivastava**
Note: * denotes that the co-author is my PhD student, ** denotes that co-author is an undergraduate student