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Names Signal More Than Race: SES and Migration Bias Audit Experiments

Field Experimentinformation equivalencecorrespondence auditsocioeconomic statusMethodology@Pol. An.4 Stata files4 datasetsDataverse
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🧭 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.

Article card for article: Do Name-based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment
Do Name-based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment was authored by Michelangelo Landgrave and Nicholas Weller. It was published by Cambridge in Pol. An. in 2022.
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Political Analysis