A Machine Learning Approach to Adjust for Misperceptions in Ethnic Diversity

• In Event: Studying (Im)migration: Methodology and Data Innovations

Brief Overview

Ethnic diversity is often measured at some level of aggregation. People can misjudge the out-group size in their communities, leading to bias. We offer a machine learning method to adjust for the mismatch between true and perceived ethnic diversity.

Authors

• Hanno Hilbig, Harvard University

• Sascha Riaz, Harvard University