Gender Differences in Medical Evaluations: Evidence from Randomly Assigned Doctors

Working Paper: NBER ID: w29541

Authors: Marika Cabral; Marcus Dillender

Abstract: Little is known about what drives gender disparities in health care and related social insurance benefits. Using data and variation from the Texas workers’ compensation program, we study the impact of gender match between doctors and patients on medical evaluations and associated disability benefits. Compared to differences among their male patient counterparts, female patients randomly assigned a female doctor rather than a male doctor are 5.2% more likely to be evaluated as disabled and receive 8.6% more subsequent cash benefits on average. There is no analogous gender-match effect for male patients. Our estimates indicate that increasing the share of female patients evaluated by female doctors may substantially shrink gender gaps in medical evaluations and associated outcomes.

Keywords: No keywords provided

JEL Codes: I11; I14; J16


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Doctor Gender (I11)Disability Assessment (J14)
Doctor Gender (I11)Cash Benefits (H55)
Doctor Gender (I11)Disability Assessment for Female Patients (J14)
Doctor Gender (I11)Cash Benefits for Female Patients (J32)
Doctor Gender (I11)Disability Assessment for Male Patients (J14)

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