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"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

Code to read and analyse NSSO All India Debt and Investment Survey 2019 data. Some analyses have been built here - mostly focusing on land and housing in urban areas - other analyses can be program…

Neural Networks: Zero to Hero

This repository contains materials from the workshop *Web Scraping for Economists*. The aim is to equip economists with the skills needed to gather data from websites for analysis.

Heterogenous Agents Resources & toolKit

This code produces the results of the paper: Christian Bayer, Ralph Luetticke (2020). Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods. Qua…

This code solves the Krusell-Smith model in two ways: Perturbation and MIT shock. More details on the model and the solution approach can be found in the paper: Christian Bayer, Ralph Luetticke (20…

Generate unconventional monetary policy shocks as described in Bügel, Hidalgo, Luetticke (2024).

Code for the Goethe Heterogeneous-Agent Macro Workshop, June 2024

Estimation of heterogeneous agent models using both macro and micro data

This repository includes the r script that convert Portable SPSS format dataset to STATA compatible DTA format