🧭 Research Question and Stakes
Name-based treatments are commonly used to study identity effects—most often race or minority status—on political and social outcomes. These treatments typically assume "information equivalence": that a name signals only the intended characteristic. If names also cue other traits, however, estimated effects cannot be cleanly attributed to the targeted identity.
🔎 How the study was done
- Paired a name perception study with an original correspondence audit experiment targeting U.S. state legislators.
- Measured how different names influence perceptions of multiple characteristics, not just minority status.
📌 Key Findings
- Names systematically alter perceptions of three distinct attributes:
- minority (racial/ethnic) status
- socioeconomic status (SES)
- migrant status
- The correspondence audit shows that perceived low SES lowers reply rates, both across racial categories and within each racial group.
- Because names shift multiple perceptions simultaneously, discrimination observed in audit replies cannot be attributed solely to the intended treatment of minority status.
⚖️ Why It Matters
This evidence demonstrates a violation of information equivalence in name-based treatments: names do more than signal a single intended trait. As a result, estimated treatment effects from name manipulations reflect a multifaceted form of discrimination rather than a pure effect of one characteristic.
🛠️ Recommendation for Researchers
Future studies using name-based or other informational treatments should explicitly account for the possibility that treatments signal multiple characteristics and should reflect that potential violation in research design and interpretation of results.
