---
name: econometrics-skills-2504eedde0c3
description: "10 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests."
---

# Econometrics — 10 Skills

Select the skill matching the user's need, then `read` its SKILL.md.

| Skill | Description |
|-------|-------------|
| [causal-inference-guide](./causal-inference-guide/SKILL.md) | Causal inference methods including DiD, IV, RDD, and synthetic control |
| [econml-causal-guide](./econml-causal-guide/SKILL.md) | Apply EconML for causal inference combining machine learning and econometrics |
| [iv-regression-guide](./iv-regression-guide/SKILL.md) | Apply instrumental variables, 2SLS, and address endogeneity issues |
| [mostly-harmless-guide](./mostly-harmless-guide/SKILL.md) | Replication code and guide for Mostly Harmless Econometrics methods |
| [panel-data-guide](./panel-data-guide/SKILL.md) | Panel data analysis with fixed and random effects models |
| [python-causality-guide](./python-causality-guide/SKILL.md) | Learn causal inference with Python using the Brave and True handbook |
| [robustness-checks](./robustness-checks/SKILL.md) | Sequential robustness checks in Stata with confounder blocks |
| [stata-analyst-guide](./stata-analyst-guide/SKILL.md) | Stata workflows for publication-ready sociology and social science research |
| [stata-reference-guide](./stata-reference-guide/SKILL.md) | Comprehensive Stata reference covering syntax, econometrics, and 20+ packages |
| [time-series-guide](./time-series-guide/SKILL.md) | Apply ARIMA, VAR, cointegration, and time series econometric methods |


---
Source attribution: wentorai
Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/analysis/econometrics/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Wentor AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: wentorai
Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/analysis/econometrics/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Education & Research, Finance & Accounting
Roles: Data Analyst, Data Scientist, Financial Analyst, Market Research Analyst, Researcher
Specialties: Specialty not specified
Tools: Python, R
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: a59897be3b28c9625af7a4f96b6c1010ab861a8be1b89ada4fb512979349da27
