mahyar-eb Goto Github PK

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

articles

Code, data and other artifacts for Chuck's technical articles.

awesome-economics

A curated collection of links for economists

bootcamp2017

Repository for OSM Lab Boot Camp 2017

bootcamp2018

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

bootcamp2019

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

causal-inference

Causal Inference Mixtape Sessions

causal-inference-1

Causal Inference 1 Mixtape Session taught by Scott Cunningham

causalbook

Replication code and downloadable example data sets for The Effect

code_snippets

compecon_fall19

ECON 815: Computational Methods for Economists

compecon_fall21

ECON 833: Computational Methods for Economists

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

difference-in-differences

Difference-in-Differences

econ860fall2021beamerfiles

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.

economictracker

Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/

fredapi

Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

instrumental-variables

Instrumental Variables Mixtape Track

islp_labs

Up-to-date version of labs for ISLP

lecture-notes-2021

Lecture notes for "Machine Learning for Economists", spring 2021 at HUJI

mahyar-eb

Config files for my GitHub profile.

mixtape

Data and Program files for Causal Inference: The Mixtape

mixtape_learnr

nic-structure

Visualize bank holding company structures with R/shiny, D3

persp-model-econ_w19

Course site for MACS 30150 (Winter 2019) - Perspectives on Computational Modeling for Economics

projects

https://analyticsariel.com/

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

python-bureau-economic-analysis-api-client

A Python API client used to pull and retrieve data from the US Bureau of Economic Analysis

python-class