CausalKit — Causal Inference Lab

Upload Your Data

Drop a CSV file to begin your causal analysis.

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Drop CSV here or click to browse

Supports .csv files with headers

Specify treatment, outcome, and optional covariates / time-series columns.

Treatment Variable Binary (0/1) column indicating treatment

Outcome Variable Numeric column to measure effect on

Covariates (optional) Click to select/deselect adjustment variables

Time Column (optional) Required for time-series methods (Synth Control, BSTS)

Unit Column (optional) Required for Synthetic Control (identifies units/groups)

Treated Unit Which unit received the intervention?

Intervention Time Time point when treatment began

Select an estimation strategy for your causal question.

Difference in Means

Simple comparison of average outcomes between treated and control.

Cross-sectional

OLS Regression

Linear regression with covariate adjustment for confounding.

Cross-sectional

IPW (Propensity Score)

Logistic propensity model with stabilized inverse-probability weights.

Cross-sectional

Synthetic Control

Construct a weighted combination of donor units to estimate counterfactual. Includes donor placebo tests.

Time-series / Panel

BSTS / CausalImpact

Pre-period regression with residual bootstrap for counterfactual prediction. Includes in-time placebo tests.

Time-series

Estimates, diagnostics, and robustness checks.