Continuous Gender Identity and Economics

Abstract

Economic research on gender largely focuses on biological sex, the binary classification as either a “man” or “woman.” We investigate the value of incorporating a measure of continuous gender identity (CGI) into economics by exploring whether it explains variation in economic preferences and behavior beyond the explanatory power of binary sex. First, we validate a novel single-item CGI measure in a survey study, showing that it correlates with measures used in gender research. Second, we use our single-item CGI measure in an incentivized laboratory experiment to assess CGI's power in explaining previously documented gender gaps in four important economic preferences.