@article{fdi:010095914,
  title = {{N}etworks, employment, debt, mobilities, and skills in india survey (neemsis) : a longitudinal data collection tool},
  author = {{N}ordman, {C}hristophe and {V}enkatasubramanian, {G}. and {G}u{\'e}rin, {I}sabelle and {N}atal, {A}. and {M}ouchel, {C}. and {M}ichiels, {S}{\'e}bastien and {D}i {S}antolo, {M}.},
  editor = {},
  language = {{FRE}},
  abstract = {{T}he {N}etworks, {E}mployment, {D}ebt, {M}obilities, and {S}kills in {I}ndia {S}urvey ({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 {T}amil {N}adu, {I}ndia. {NEEMSIS} aims to understand the links between labour, skills, financial practices, social and migration dynamics, and social network formation in {I}ndia. {T}he 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.},
  keywords = {caste ; gender ; labour ; agriculture ; household finance ; migration ; skills ; networks ; {I}ndia ; {INDE} ; {TAMIL} {NADU}},
  booktitle = {},
  journal = {{P}opulation},
  volume = {80},
  numero = {1},
  pages = {[17 p.]},
  ISSN = {0032-4663},
  year = {2025},
  DOI = {10.3917/popu.2501.0083},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095914},
}