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abrs-toolkit

Toolkit for counterfactuals based on a spatial equilibrium framework with heterogenous preferences by Ahlfeldt-Bald-Roth-Seidel (WIP)

aggprod

agua-contaminada-bj

Agua contaminada en Alcaldía Benito Juárez, CDMX

aiyagaricontinuoustime.jl

Solve Aiyagari Model in Continuous Time

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

are213

PhD Applied Econometrics class taught at UC Berkeley

arsw2015-toolkit

The economics of density: Evidence from the Berlin Wal: Toolkit

bartik-weight

bartikse

Inference in shift-share designs

beamer-tips

book-networks-public

Companion Site for Economic Networks: Theory and Computation

book_how_to_weight_a_survey

This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK.

bootcamp2018

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018

career-code

Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"

causal-inference-2

Causal Inference II Mixtape Session taught by Scott Cunningham

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causaltree

Working repository for Causal Tree and extensions

cme257-advanced-julia

Advanced Topics in Scientific Computing with Julia

codechella

Data, Code and other material for CodeChella concert

commuting_zone_japan

comp-econ-sp19

Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)

compecon2020

Computational Economics Course 2020 by Kenneth Judd

compeconworkshop_2017

consprob.jl

Solutions to lifecycle consumption-savings problems in julia.

consumption_and_tradewar

Code to reproduce aspects of "The Consumption Response to Trade Shocks: Evidence from the US-China Trade War"

continuous-time-models-python

Functions for solving heterogeneous agent models in continuous time in Python

continuous_time_methods

coursera-deeplearning.ai-natural-language-processing-specialization

This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu

covid-19

COVID-19 Italia - Monitoraggio situazione