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#econometrics (10 Repositories)

Ranked open-source repositories tagged with #econometrics, scored by pull request acceptance likelihood and maintainer engagement velocity.

Topic Avg Merge Rate

47.6%

Avg Review Latency

79.9h

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10 repositories tagged #econometrics

A TierPython 11.6k

statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

85.7%
Merge Rate
19h
First Review
73%
1st-Timers
45
Maintainers
A TierPython 386

igerber/diff-diff

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

96.8%
Merge Rate
11d
First Review
100%
1st-Timers
2
Maintainers
B TierPython 252

SepineTam/mcp-for-stata

A MCP server for Stata to integrate Stata into your agent.

93.2%
Merge Rate
20d
First Review
100%
1st-Timers
0
Maintainers
B TierR 166

DoubleML/doubleml-for-r

DoubleML - Double Machine Learning in R

100.0%
Merge Rate
2d
First Review
0%
1st-Timers
1
Maintainers
B TierJUJulia 291

LAMPSPUC/StateSpaceModels.jl

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

100.0%
Merge Rate
-
First Review
100%
1st-Timers
0
Maintainers
D TierJUJulia 101

JTAmos/Temporal.jl

Time series implementation for the Julia language focused on efficiency and flexibility

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierJUJulia 373

mcreel/Econometrics

Econometrics lecture notes with examples using the Julia language

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierR 231

JustinMShea/wooldridge

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierJUJupyter Notebook 4.8k

py-why/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierHTML 1.5k

pedrohcgs/claude-code-my-workflow

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
Best Econometrics Open Source Repositories & C-Rank™ | GetMerged