E
Empirical Agent Econometrics Workbench
Preset Study:
Parallel Trends (Clean DiD)
Parallel Trends Violation (Noise/Trend)
Staggered Adoption Policy
Synthetic Control Case (1 Treated, 49 Controls)
Reset
Export Pipeline Bundle
Data & Spec Generator
Interactive Causal Simulation:
Adjust parameters below to modify the matrix simulation (N=50 units, T=20 periods) and execute real-time matrix OLS & fixed-effects regressions via
math.js
.
True Causal Effect (τ)
2.50
Treatment Period (T
0
)
10
Non-Parallel Pre-Trend Noise
0.00
Unit Heterogeneity Variance (σ
γ
)
1.20
Unit Fixed Effects (α
i
)
Time Fixed Effects (γ
t
)
Cluster-Robust Standard Errors (CRVE)
Staggered Adoption Timing
Event Study Plot (DiD)
Synthetic Control Optimization
Raw Trajectories
Proof Status:
Dynamic Matrix OLS Computed
N=50, T=20 | τ_hat = 2.48
Econometric Output & Agent Code
Estimated ATT (β)
2.481
Std. Error (CRVE)
0.142
t-Statistic
17.47
Parallel Trend p-val
0.684
Variable
Coeff
Std. Err
P>|t|
AI AGENT REPLICATION CODE
R (fixest)
Python
Stata
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