natematias / research_in_python
This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
☆64Updated 9 years ago
Alternatives and similar repositories for research_in_python:
Users that are interested in research_in_python are comparing it to the libraries listed below
- ☆97Updated 7 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆28Updated 9 years ago
- ☆17Updated 2 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 5 years ago
- ☆80Updated 4 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- Graduate level econometrics labs in Python/R☆44Updated 12 years ago
- Materials used in class when teaching Data Bootcamp at NYU Stern.☆26Updated 6 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆24Updated last year
- pytorch implementation of BLP'95☆26Updated 5 years ago
- ☆16Updated 11 years ago
- ☆17Updated 7 years ago
- Stata kernel for IPython/Jupyter☆12Updated 6 years ago
- The material presented here is for the 4-week summer course Network Analysis I in Summer, 2017 for the Inter-university Consortium for Po…☆40Updated 7 years ago
- Lectures from my DS Text as Data course offered in Spring 2018.☆77Updated 3 years ago
- ☆21Updated 6 years ago
- Adaptation of SICSS lectures for CU Boulder site (August 13th - 17th)☆12Updated 6 years ago
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 5 years ago
- Packages of Example Data for The Effect☆136Updated 4 months ago
- Code to replicate GAIN application in Athey, Chetty, Imbens and Kang (2019) using simulated employment data☆32Updated 3 years ago
- ☆20Updated 3 years ago
- ☆22Updated 2 years ago
- PhD course: Quantitative Methods for Political Science III (NYU) -- Recitation Materials☆53Updated 10 years ago
- Material from the Big Data course at Chicago Booth☆90Updated 6 years ago
- Stanford's Math Camp for 2018☆37Updated 6 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data