Sandhya Garg & Samarth Gupta, 2020. "Financial access of unbanked villages in India from 1951 to 2019: A Spatial Approach," IEG Working Papers 403, Institute of Economic Growth.
Asher, Sam, Tobias Lunt, Ryu Matsuura, and Paul Novosad. "Development research at high geographic resolution: an analysis of night-lights, firms, and poverty in India using the shrug open data platform." The World Bank Economic Review 35, no. 4 (2021): 845-871.
@article{gg2020,
title={Financial access of unbanked villages in India from 1951 to 2019: A Spatial Approach},
author={Garg,Sandhya and Gupta, Samarth},
journal={IEG Working Paper No. 403},
year={2020},
}
@article{almn2021,
title={Development research at high geographic resolution: an analysis of night-lights, firms, and poverty in India using the shrug open data platform},
author={Asher, Sam and Lunt, Tobias and Matsuura, Ryu and Novosad, Paul},
journal={The World Bank Economic Review},
volume={35},
number={4},
year={2021},
publisher={Oxford University Press}
}
About
The RBI module provides informattion for 154,505 bank branches present in rural, urban, semi-urban and metropolitan areas that are linked to the 2011 Population Census locations as well as a shrid. Note that this dataset is at the branch level i.e. each row represents a different bank branch.
The original data included four identifiers --- the name of state, district, village/town, and pincod and these were used for location matching. Some of the unidentified branches were mapped manually using information from Google. In total, 151,104 bank branches were matched to PC11.