bryangraham / netrics
A Python 3.7 package for the econometric analysis of networks
☆21Updated 5 months ago
Alternatives and similar repositories for netrics:
Users that are interested in netrics are comparing it to the libraries listed below
- Course material for the Winter 2020 Edition of PP4RS at Uni Zurich☆19Updated 5 years ago
- Stata module that calculates the weights underlying two-way fixed effect event studies☆18Updated 3 years ago
- Two way models in python☆31Updated last year
- ECON 815: Computational Methods for Economists☆22Updated 5 years ago
- pytorch implementation of BLP'95☆26Updated 5 years ago
- Machine Learning for Econometrics -- ENSAE Paris☆23Updated 5 years ago
- Stata module to compute summary statistics and distribution functions including standard errors and optional covariate balancing☆19Updated last year
- Economics Lesson with Stata☆27Updated 3 years ago
- Tutorial on how to use Git and GitHub an a scalable collaborative workflow and as a medium for open source, transparent, and replicable r…☆43Updated 5 years ago
- course on the basics of scientific computing for economists☆26Updated 2 years ago
- Code to reproduce aspects of "The Consumption Response to Trade Shocks: Evidence from the US-China Trade War"☆26Updated 5 years ago
- Super fast grouped regressions in Stata☆16Updated 2 years ago
- A Stata package that acts as a wrapper for Callaway and Sant'anna's R did package☆31Updated 3 years ago
- Inference in shift-share designs☆19Updated 6 months ago
- Estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions s…☆23Updated 3 years ago
- Really fast binned scatterplots in Stata☆40Updated 2 years ago
- Estimation in sharp Difference-in-Difference designs with multiple groups and periods☆20Updated 4 years ago
- Training for assessing replicability☆12Updated last month
- Replication for Common Owner 1980-2017 (https://www.aeaweb.org/articles?id=10.1257/mic.20190389)☆36Updated 2 years ago
- Course on GMM, Indirect Inference and Bootstrap for Economists (graduate level)☆15Updated 2 years ago
- Luke Stein's summary notes from the Stanford graduate economics core☆23Updated 5 years ago
- Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple dif…☆19Updated last week
- Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.☆60Updated last year
- This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their d…☆23Updated 3 years ago
- ☆22Updated 2 years ago
- a template referee response☆15Updated 4 years ago
- Empirical Bayes Mixtape Session taught by Christopher Walters☆14Updated 2 months ago
- This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"☆49Updated 3 years ago
- ☆20Updated 6 years ago
- Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)☆49Updated 4 years ago