Candidate Common Proximal Variables For Causal Inference Settings

Candidate Common Proximal variables for typical empirical settings in causal inference research. The dataset was created by Shiming Hao and last updated on June 3, 2026. It is a small Excel file of 5.5 KB, published under a CC-BY-4.0 license on figshare.

Use Cases

• Testing causal inference methods based on the described common proximal variables.
• Benchmarking econometric models designed for settings with long-range dependency.
• Developing new statistical techniques for endogenous treatment effect estimation.

Strengths

• Published under a permissive CC-BY-4.0 license.
• Last update timestamp is precisely recorded (2026-06-03 17:54:14).

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Shiming Hao via figshare.

Freshness

Last updated 2026-06-03 17:54:14.