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Literature suggests that there continues to be a shortage of special education teachers (SET) and
that there is a desire, if not need, for a more diverse, broadly defined, SET workforce. One way
of addressing these issues is to better understand the SET pipeline, and, more specifically, special education degree production at the intersection of race and gender. Using data from the Integrated Postsecondary Education Data System (IPEDS), we examined trends in degree production in special education by race and gender, and, using a random-effects panel regression, modeled how institutional characteristics (e.g. cost-of-attendance and Carnegie Classification) are related to degree production at the intersection of race and gender. Detailed findings are discussed in the larger manuscript.