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Showing results

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

Stata 165 71 Updated Nov 22, 2023

Accounting Fraud Detection Using Machine Learning

MATLAB 131 67 Updated Mar 31, 2023

CUAD (NeurIPS 2021)

Python 403 123 Updated Jul 13, 2023

Replication of Conlon and Mortimer (JPE 2021)

MATLAB 4 1 Updated Sep 17, 2021

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

Jupyter Notebook 134 23 Updated Jan 10, 2025

Implementing the BLP method for random effects choice model using Julia. This is not a package for use on other datasets.

Julia 7 8 Updated Aug 22, 2024
R 9 5 Updated May 15, 2024

A PhD course in Applied Econometrics and Panel Data

HTML 302 232 Updated Sep 25, 2024

Fama French Industry Classification

SAS 13 10 Updated Feb 7, 2019

Example code to create firm level risk in Hassan et al. (2020)

HTML 51 39 Updated Aug 23, 2022

Codes to replicate analysis in Baker & Gelbach (2020)

R 11 9 Updated Apr 25, 2020

This work is an assignment for ECOM90003 Applied Micro-econometrics at the Univery of Melbourne. This work provides do files that replicate some statistical results in the paper "the Impact of Econ…

TeX 1 Updated Oct 6, 2018

Material for a Python for Finance workshop at the University of Melbourne in 2017

Jupyter Notebook 6 2 Updated Mar 25, 2018

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

Stata 782 227 Updated Jan 22, 2025

This repo makes scikit-compatible models run completely off-the-shelf.

Python 2 Updated Aug 31, 2023

Graduate Econometrics course notes with code in Julia

TeX 22 8 Updated Jan 18, 2022

Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

Jupyter Notebook 80 33 Updated Feb 28, 2022

An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regression. Light on maths, heavy on intuition and practical examples.

R 1 1 Updated Apr 14, 2020

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Jupyter Notebook 89 27 Updated Aug 3, 2024

Python utilities for working with Kilts-Nielsen files

Python 1 1 Updated Nov 6, 2021

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 go…

Jupyter Notebook 1 Updated Feb 2, 2022

Econometrics; Finance; Machine Learning

HTML 1 Updated Apr 3, 2022

Causal inference GitHub for UT Austin

Stata 1 Updated May 2, 2022

⚡ Automating scientific workflows with AI ⚡

Python 378 38 Updated Aug 15, 2024

Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec

9,388 484 Updated Jul 22, 2024

Evidence-based QA system for community question answering.

Jupyter Notebook 105 28 Updated Mar 3, 2021

🤖 Scrape data from HTML websites automatically by just providing examples

Python 1,336 90 Updated Mar 17, 2024

Fama-French models, idiosyncratic volatility, event study

Jupyter Notebook 29 4 Updated Jul 16, 2022

Implementation of Double Machine Learning

R 35 7 Updated Aug 3, 2023
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