My research agenda is centred around economic questions related to rural dynamics in developing countries, particularly financial behaviour, labour, cognition, and inequalities in rural South India.
The methods I use are determined by the research questions that arise but revolve around rigorous statistical analysis (e.g., econometrics, machine learning).
I attach great importance to the quality of the data used, and in the interests of transparency and respect for ethical principles, all the R and Stata scripts developed to conduct the statistical and econometric analyses of my research work are freely accessible here.
Publications in peer-reviewed journals
- Guérin, I., Natal, A., Nordman, C. J., & Venkatasubramanian, G. (forthcoming). For Money Can’t Buy Me Love? The Political Economy of Marriages at the Time of Financialization. Contemporary South Asia.
- Nordman, C. J., Venkatasubramanian, G., Guérin, I., Natal, A., Mouchel, C., Michiels, S., & Di Santolo, M. (forthcoming). Networks, Employment, Debt, Mobilities, and Skills in India Survey (NEEMSIS): Presentation of a longitudinal data collection tool. Population.
- Natal, A., & Nordman, C. J. (2025). Psychology of Debt in Rural South India. The Journal of Development Studies. DOI: 10.1080/00220388.2025.2451871. [WP version available here »]
- Di Santolo, M., Guérin, I., Michiels, S., Mouchel, C., Natal, A., Nordman, C. J., & Venkatasubramanian, G. (2024). A Decade in Rural Tamil Nadu: Socio-Economic, Labour and Migration Trends from an Original Longitudinal Household Survey. Economic & Political Weekly, 59(43), 62-71. [WP version available here »]
- Natal, A., & Nordman, C. J. (2022). Locus of Control, Social Identity, and Indebtedness in South India. Revue d’Économie du Développement, 31(2-3), 95–101. DOI: 10.3917/edd.362.0095. [Available here »]
- Guérin, I., Michiels, S., Natal, A., Nordman, C. J., & Venkatasubramanian, G. (2022). Surviving Debt and Survival Debt in Times of Lockdown. Economic & Political Weekly, 57(1), 41–49. [Available here »]
In progress
- Tangled Up in Debt: Household Debt Trap and Its Effect on Spending in Rural India.
- She Works Hard for the Money: Debt Burden and Labour Supply in India, with C. J. Nordman.
- A Change is Gonna Come: Measures and Stability of Personality Traits in Rural South India, with C. J. Nordman.
- Personality Traits, Social Identity and Social Networks in Rural India, with D. Girollet.
- Unveiling Inequality in Rural South India: A Decade of Rising Income and Wealth Imbalances, with C. J. Nordman.
- On The Contribution of Personality Traits to Economics in the Global South, with C. J. Nordman.
Policy briefs
- On the importance of measuring personality traits in household surveys, ODRIIS Policy Brief No. 3, with B. Kar, and C. J. Nordman. (2025). [Available here »]
- Measuring, regulating and preventing household debt to better combat poverty, ODRIIS Policy Brief No. 2, with S. Michiels, I. Guérin, and T. Narring. (2025). [Available here »]
- Why and how to measure household debt in informal economies?, ODRIIS Policy Brief No. 1, with I. Guérin, and G. Venkatasubramanian. (2024). [Available here »]
Blog post
- The Urgent Need to Better Measure Household Debt, Committee for the Abolition of Illegitimate Debt (CADTM), with S. Michiels, I. Guérin, and T. Narring. (2025) [Available here »]
Technical reports
- Rapport d’Enquête Création d’une revue d’articles sur des jeux de données Data Journal SHS, Tech. rep. No. hal-04541094, with L. Bizien, V. Cohoner, F. Edmond, and P. Peraldi-Mittelette. (2024). MSH Lorraine
Data
- Network, Employment, dEbt, Mobility, and Skills in South India Survey (NEEMSIS-2, 2020-2021), with C. J. Nordman, G. Venkatasubramanian, I. Guérin, S. Michiels, C. Mouchel, and M. Di Santolo. (2025). DataSuds. DOI 10.23708/D7NADX
- NEEMSIS-1 wave data, with C. J. Nordman, I. Guérin, G. Venkatasubramanian, S. Michiels, Y. Lanos, A. Hilger, S. Kumar, and A. Raj. (2023). Harvard Dataverse. DOI: 10.7910/DVN/KN3KFJ
- RUME survey data, with I. Guérin, G. Venkatasubramanian, S. Michiels, and M. Roesch. (2023). Harvard Dataverse. DOI: 10.7910/DVN/2KVFXG