Causal Effects in Information Provision Experiments Replication Data

Dylan Balla Elliott produced this social science replication dataset for a forthcoming study in the Review of Economics and Statistics regarding causal effects in information provision experiments. The data, updated in March 2026, facilitates the verification of econometric findings related to how information treatments influence subject behavior. It serves as the primary empirical basis for the author's causal identification methodology.

Use Cases

• Replicating causal effect estimates for information provision treatments
• Validating econometric identification strategies used in the Balla Elliott study
• Conducting meta-analyses of information-based social science experiments

Strengths

• Peer-reviewed replication data from the Review of Economics and Statistics
• Specifically designed for testing causal identification in information experiments

Limitations

• Lack of publicly visible column headers or data dictionaries in the repository summary
• Scope is restricted to the specific experimental design of the Balla Elliott study

Provenance

Source

Review of Economics and Statistics Dataverse

Collection Method

Experimental data collection

Freshness

Last updated March 6, 2026.