How does it help with panel data analysis?

It guides users through choosing between Fixed and Random Effects using the Hausman test and ensures appropriate clustering of standard errors at the entity level.

Can this skill handle endogeneity issues in data?

Yes, it provides specific guidance on using Instrumental Variables (IV) and 2-Stage Least Squares (2SLS), including tests for instrument relevance and exclusion restrictions.

Does it provide statistical diagnostic tests?

Absolutely. It includes protocols for the Breusch-Pagan and White tests for heteroskedasticity, Durbin-Watson for autocorrelation, and VIF for multicollinearity.

What types of regression models does this skill support?

The skill supports a wide range of models including Ordinary Least Squares (OLS), Fixed Effects (FE), Random Effects (RE), Instrumental Variables (2SLS), and Vector Autoregression (VAR).

Econometrics & Economic Modeling

Name: Econometrics & Economic Modeling
Author: brainbytes-dev

bybrainbytes-dev

0•

Data Science & ML

Performs advanced econometric analysis including regression modeling, panel data estimation, and causal inference for economic and financial data.

This skill empowers Claude to act as a professional econometrician, providing rigorous frameworks for estimating and interpreting complex economic relationships. It covers foundational methods like OLS alongside advanced techniques such as Fixed and Random Effects for panel data, Instrumental Variables (IV) to address endogeneity, and Vector Autoregression (VAR) for time-series forecasting. Whether conducting academic research, financial forecasting, or policy impact analysis, this skill ensures statistical soundness through comprehensive diagnostic checklists, robustness tests, and automated guidance on standard error corrections like robust, clustered, or HAC estimators.

Key Features

01Dynamic time-series modeling using Vector Autoregression (VAR) and impulse response functions.

02Advanced panel data analysis with Fixed Effects, Random Effects, and Hausman testing.

030 GitHub stars

04Automated diagnostic checklists for heteroskedasticity, autocorrelation, and multicollinearity.

05Comprehensive regression suites including OLS, Log-Linear, and Elasticity models.

06Causal inference framework via Instrumental Variables (2SLS) and Difference-in-Differences (DiD).

Use Cases

01Estimating the causal impact of policy changes or interventions using Difference-in-Differences.

02Analyzing firm-level performance over time using multi-dimensional panel data with clustered standard errors.

03Forecasting macroeconomic variables like GDP, inflation, and interest rates using VAR systems.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brainbytes-dev/everything-claude-finance economics

For use in Claude.ai and ChatGPT

Key Features

01Dynamic time-series modeling using Vector Autoregression (VAR) and impulse response functions.

02Advanced panel data analysis with Fixed Effects, Random Effects, and Hausman testing.

030 GitHub stars

04Automated diagnostic checklists for heteroskedasticity, autocorrelation, and multicollinearity.

05Comprehensive regression suites including OLS, Log-Linear, and Elasticity models.

06Causal inference framework via Instrumental Variables (2SLS) and Difference-in-Differences (DiD).

Use Cases

01Estimating the causal impact of policy changes or interventions using Difference-in-Differences.

02Analyzing firm-level performance over time using multi-dimensional panel data with clustered standard errors.

03Forecasting macroeconomic variables like GDP, inflation, and interest rates using VAR systems.