Name: Marcelo Ortiz-Villavicencio
Type: User
Bio: Econ Ph.D. student @ Emory University interested in Econometrics, Causal Inference and Machine Learning. Former Data Scientist & ML Engineer.
Twitter: marcelortizv
Location: Atlanta, GA
Blog: https://marcelortiz.com/
Marcelo Ortiz-Villavicencio's Projects
Analysis of COVID-19 (2019 n-CoV) Outbreak
Examples of how to create colorful, annotated equations in Latex using Tikz.
This repository holds an example API using Flask in Python
Materials for TA session
Project code for cd0581 refresh taught by Giacomo Vianello
Exercise Staters and solutions for cd0581-building-a-reproducible-model-workflow by Giacomo Vianello
Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
Curated research at the intersection of causal inference and natural language processing.
Python code for part 2 of the book Causal Inference: What If, by Miguel HernΓ‘n and James Robins
Implementation of Double Machine Learning
This repository consolidates my teaching material for "Causal Machine Learning".
Random or Extremely Random Forest for censored quantile regression.
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)
Computational Economics Course 2020 by Kenneth Judd
Vector Autoregression augmented with deep learning.
This repository holds the files of my exploratory data analysis and machine learning models for defaul credit card problem.
Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did
difference-in-differences in Python
python implementation of Peng Ding's "First Course in Causal Inference" https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZX3VEV
Face recognition system for ID photos
Code for Colangelo and Lee (2022)
DoubleML - Double Machine Learning in Python
DoubleML - Double Machine Learning in R
Doubly Robust Difference-in-Differences Estimators
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project
Code for 'Equilibrium Computation in Discrete Network Games'