aeturrell / specification_curveLinks
Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.
☆26Updated last week
Alternatives and similar repositories for specification_curve
Users that are interested in specification_curve are comparing it to the libraries listed below
Sorting:
- Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.☆67Updated 2 years ago
- Machine Learning for Econometrics -- ENSAE Paris☆26Updated 5 years ago
- High-dimensional fixed effect estimation with pytorch☆18Updated 5 years ago
- Every big regression is a small regression with weights.☆68Updated 2 months ago
- A Python 3.7 package for the econometric analysis of networks☆22Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆39Updated 7 months ago
- Optimized regression discontinuity designs☆30Updated 3 years ago
- Stata module to compute summary statistics and distribution functions including standard errors and optional covariate balancing☆20Updated this week
- Guide to fundamental econometric theorems listed by J. Wooldridge☆40Updated last year
- Inference for synthetic controls☆40Updated 4 years ago
- An R-package for fitting glm's with high-dimensional k-way fixed effects☆46Updated last month
- Two way models in python☆36Updated 2 years ago
- Stata package for creating user-defined scheme files using research-based color palettes☆27Updated 5 years ago
- Data for Causal Inference: The Mixtape by Scott Cunningham☆36Updated 2 years ago
- R-code to compare some staggered did methods☆26Updated 4 years ago
- R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)☆26Updated 2 years ago
- Course material for the Winter 2020 Edition of PP4RS at Uni Zurich☆19Updated 5 years ago
- Inference in instrumental variables models robust to many instruments☆13Updated 7 months ago
- An R package for implementing the method in Mogstad, Santos, and Torgovitsky (2018, Econometrica).☆19Updated last year
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 5 years ago
- Estimation in sharp Difference-in-Difference designs with multiple groups and periods☆20Updated 5 years ago
- Datasets used in the AEA 2018 Continuing Education "Machine Learming and Econometrics" (Athey and Imbens, 2018)☆13Updated 6 years ago
- An R package for conducting event studies and a platform for methodological research on event studies.☆33Updated 2 years ago
- ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2021)☆46Updated 4 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated 2 years ago
- Code for DID chapter☆11Updated 2 years ago
- Stata module that calculates the weights underlying two-way fixed effect event studies☆19Updated 4 years ago
- R package containing data on NBER working papers☆25Updated 3 years ago
- A template README for the social sciences☆54Updated 4 months ago
- Dynamic Factor Models for R☆43Updated this week