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python_data_stack - Statistical Modeling and Econometric Analysis

Applies Statsmodels for regression, generalized linear models, discrete outcomes, time series, hypothesis tests, diagnostics, and forecasting.

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Updated: 2026-10-08

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Fit regression models
  • Fit generalized linear models
  • Analyze discrete outcomes
  • Model and forecast time series
  • Run statistical tests
  • Diagnose model assumptions
  • Detect outliers and influence
  • Compare statistical models
  • Estimate causal effects
  • Produce statistical tables

Inputs

  • Dataset
  • Outcome variables
  • Predictor variables
  • Model specification
  • Time series
  • Forecast horizon
  • Test hypotheses

Outputs

  • Model estimates
  • Predictions
  • Forecasts
  • Confidence intervals
  • Diagnostic statistics
  • Statistical summaries
  • Publication-ready tables

Requirements

  • Python environment
  • Statsmodels package

Source

  • Spec: SKILL.md

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statsmodels
statistical modeling
econometrics
regression
time series
hypothesis testing
model diagnostics
forecasting
data analysis
Fit regression models
Fit generalized linear models
Analyze discrete outcomes
Model and forecast time series
Dataset
Outcome variables
Predictor variables
Model estimates
Predictions
Forecasts