Data and Code for "A Model of Endogenous Financial Inclusion: Implications for Inequality and Monetary Policy"
November 2020
Mohammed Ait Lahcen, Pedro Gomis-Porqueras

This folder contains the code and data used in Ait Lahcen and Gomis-Porqueras (2020, "A Model of Endogenous Financial Inclusion: Implications for Inequality and Monetary Policy") to appear in the Journal of Money, Credit and Banking.

endo_fin_incl_code.ipynb
This Jupyter notebook contains the Python code used for model solution, comparative statics, calibration and policy experiments. It also contains all figures of the paper. The file can be opened using JupyterLab. JupyterLab and most of the packages used in the code are included in the Anaconda Python distribution available at https://www.anaconda.com/products/individual

data_india_ann.csv
This file contains macroeconomic data on India used in the calibration of the model. Source: Reserve Bank of India

bank_branch_density.csv
This file contains data on the number of bank branches per state in India used in the calibration of the model. Source: Reserve Bank of India

calibP.pikle
This file contains a Python namedtuple of the calibrated parameter values used in the code. It can be read from the Python code in endo_fin_incl_code.ipynb


Please address all inquiries about code and data to m.aitlahcen@gmail.com
