đź“° New article: Networks, Employment, Debt, Mobilities, and Skills in India Survey (NEEMSIS): A Longitudinal Data Collection Tool
Christophe Jalil Nordman, Venkatasubramanian, Isabelle Guérin, Arnaud Natal, Cécile Mouchel, Sébastien Michiels and Mary Di Santolo and from the Observatory of Rural Dynamics and Inequalities in South India (ODRIIS) have published an article entitled “Networks, Employment, Debt, Mobilities, and Skills in India Survey (NEEMSIS): A Longitudinal Data Collection Tool” in Population.
📝 Abstract: The Networks, Employment, Debt, Mobilities, and Skills in India Survey (NEEMSIS) is a longitudinal data set collected through a baseline survey conducted in 2010 and follow-up surveys since 2016 (2016–2017 and 2020–2021, thus far) among more than 600 households in rural Tamil Nadu, India. NEEMSIS aims to understand the links between labour, skills, financial practices, social and migration dynamics, and social network formation in India. The data set is useful in many ways: (a) the data can capture processes that are poorly measured by national surveys in developing countries; (b) compared with other microsurveys, NEEMSIS benefits from the coverage of a relatively large population; (c) the data cover a wide range of information on households and individuals; and (d) the longitudinal nature of NEEMSIS data means that it is possible to observe dynamics and changes over time.

OpenEdition suggests that you cite this post as follows:
Arnaud Natal (October 29, 2025). đź“° New article: Networks, Employment, Debt, Mobilities, and Skills in India Survey (NEEMSIS): A Longitudinal Data Collection Tool. ODRIIS. Retrieved December 7, 2025 from https://doi.org/10.58079/1523q
