causal-inference-engine

name	causal-inference-engine
description	Causal inference skill for estimating treatment effects and understanding causal relationships in business data
allowed-tools	["Read","Write","Glob","Grep","Bash"]
metadata	{"specialization":"decision-intelligence","domain":"business","category":"forecasting","priority":"medium","shared-candidate":true,"tools-libraries":["econml","dowhy","causalml","statsmodels"]}
graph	{"domains":["domain:business-intelligence"],"skillAreas":["skill-area:statistical-analysis","skill-area:data-analysis","skill-area:quantitative-modeling"],"roles":["role:data-scientist","role:data-analyst","role:research-scientist"]}

Causal Inference Engine

Overview

The Causal Inference Engine skill provides sophisticated methods for estimating causal effects from observational data. It enables business analysts to move beyond correlation to understand true cause-and-effect relationships, supporting evidence-based decision-making for interventions, policy changes, and strategic initiatives.

Capabilities

• Propensity score matching
• Inverse probability weighting
• Difference-in-differences
• Instrumental variables
• Regression discontinuity
• Synthetic control methods
• Causal forest implementation