rebekahanne Goto Github PK

2017-uzh-course-material

Repository that hosts the course materials for the 2017 edition of Programming Practices for Research in Economics at the University of Zurich

academic-kickstart

Easily create a beautiful website using Academic and Hugo

agents.jl

Agent-based modeling framework in Julia

applied_metrics

A PhD course in Applied Econometrics and Panel Data

basic-analysis-notes

bkm_mit

Code to Implement the Algorithm in "Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative" by Timo Boppart, Per Krusell and Kurt Mitman

bootcamp2018

Work for OSM Lab Boot Camp 2018

bootcamp2019

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019

cake_eating_examples

cmdstan

CmdStan, the command line interface to Stan

consumption_and_tradewar

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

contagion

Inspired by the Washington post contagion simulation of Covid19

cs-532-final-project-repo

Public repo for sharing code for UW-Madison CS 532

deep-opt-auctions

Implementation of Optimal Auctions through Deep Learning

distributionsad.jl

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

dolo

Economic modelling in python

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

expectations.jl

Expectation operators for Distributions.jl objects

freddata.jl

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

git-scripts

A bunch of random scripts I've either written, downloaded or clipped from #git.

grad-io

Graduate Empirical Industrial Organization

hansen-econometrics

hpc_projects

High-Performance Computing Projects for the OSM Lab Bootcamp 2018

inequality-measurements

Demonstrate code for measuring inequality in python

interpolation.py

interpolations.jl

Fast, continuous interpolation of discrete datasets in Julia

jjhscripts

Bash and AWK scripts I find useful

joplin

Joplin - a note taking and to-do application with synchronization capabilities for Windows, macOS, Linux, Android and iOS. Forum: https://discourse.joplin.cozic.net/

jump.jl

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

katex

Fast math typesetting for the web.