thomaswiemann / ddmlLinks
ddml: Double/Debiased Machine Learning in R
☆20Updated 2 months ago
Alternatives and similar repositories for ddml
Users that are interested in ddml are comparing it to the libraries listed below
Sorting:
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 7 months ago
- Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"☆27Updated last year
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 5 years ago
- Multiple Treatment Effects Regression☆16Updated 9 months ago
- fast and flexible Difference-in-Differences☆29Updated 3 months ago
- Nice distribution plots with minimum user input☆18Updated 2 months ago
- Statistical Tools for Causal Inference☆40Updated 6 months ago
- Dynamic Factor Models for R☆39Updated last week
- R-code to compare some staggered did methods☆26Updated 3 years ago
- Data Science for Economists and Other Animals☆28Updated 4 years ago
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Updated last year
- Causal Inference in Observational Data with Unobserved Heterogeneity (Lecture Notes. Masters/PhD-level)☆31Updated last month
- Optimized regression discontinuity designs☆30Updated 2 years ago
- An R-package for fitting glm's with high-dimensional k-way fixed effects☆46Updated last year
- lmw: Linear Model Weights☆11Updated last year
- Jackknife Instrumental Variables Estimation☆12Updated 5 months ago
- Code for Causal Inference: The Mixtape by Scott Cunningham☆27Updated 7 years ago
- Extended two-way fixed effects☆57Updated last month
- Panel Maneuvers in dplyr: An R package for cleaning and manipulating panel and hierarchical data☆35Updated 3 years ago
- Source code repository for the R package lfe on CRAN.☆54Updated 2 years ago
- Out of memory data manipulation☆14Updated 2 years ago
- Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.☆29Updated last year
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin☆12Updated 6 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 9 months ago
- Sensitivity analysis tools for causal ML☆18Updated 3 weeks ago
- Robust empirical Bayes confidence intervals☆11Updated last year
- CRAN Task View: Econometrics☆34Updated last month
- A brief checklist to go through before you're done with your data visualization, or as you're using it.☆13Updated 4 years ago
- Simple function to adjust for covariates in synthdid☆18Updated 3 years ago
- Data for Causal Inference: The Mixtape by Scott Cunningham☆36Updated last year