Monte Carlo Simulation Results for Econometric Policy Evaluation Methods

A Monte Carlo simulation study evaluating a novel econometric method for estimating staggered policy effects with endogenous treatments. The dataset was created by Shiming Hao and published on figshare under a CC-BY-4.0 license, with a last update in June 2026. It is a small dataset, sized at 5.5 KB.

Use Cases

• Benchmarking new estimators for staggered treatment effects based on the described conditional mean symmetry condition.
• Assessing the performance of bootstrap inference for time-series dependencies as described in the paper.
• Evaluating the robustness of treatment effect estimators to weak common proximal variables.
• Replicating the simulation results from the associated econometrics paper.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Published under a permissive CC-BY-4.0 license, allowing for broad reuse.
• Associated with a detailed methodological paper describing the simulation framework.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Shiming Hao via figshare

Collection Method

Monte Carlo simulation, as described in the associated paper.

Freshness

Last updated 2026-06-03 17:54:21; freshness should be verified.