Negative Control Falsification Tests: Data and Code for IV Designs

This replication package contains the data and code for implementing negative control falsification tests in instrumental variable (IV) designs, authored by Oren Danieli and updated in 2026. The collection facilitates conditional independence tests between negative control variables and IVs or outcomes to validate identification assumptions and functional form.

Use Cases

• Replicating conditional independence tests between negative control variables and instrumental variables
• Testing the exclusion restriction in IV designs using the provided proxies
• Evaluating functional form assumptions in econometric models using the included code

Strengths

• Includes both empirical data and implementation code for replication
• Addresses functional form assumptions alongside exclusion restrictions
• Provides specific guidance for negative control selection in econometric designs

Limitations

• Unknown record count and file formats
• Highly specific to the methodology of a single research paper
• Lack of detailed column-level metadata in the primary record

Provenance

Source

Oren Danieli via ICPSR Harvested Dataverse

Freshness

Last updated February 2026.