A comparison of diagnosed and undiagnosed diabetes patients and labor supply.

Using data from four waves of the National Health and Nutrition Examination Survey, we examine the difference between individuals with diagnosed and undiagnosed cases of type 2 diabetes and their labor supply decisions. We show that a diagnosis of type 2 diabetes is significantly associated with a reduction in both male and female employment probability by 11 and 19 percentage points, respectively. Additionally, hours worked by individuals with diagnosed type 2 diabetes are 7h lower per week for males and 8h lower per week for females. Further, individuals with undiagnosed type 2 diabetes experience a drop in labor supply somewhat smaller but similar to their diagnosed counterparts. This association may be driven by the similarities between undiagnosed and very recently diagnosed type 2 diabetes. In all estimations, we consistently find that type 1 diabetes has a different effect than either diagnosed or undiagnosed type 2 diabetes. Published by Elsevier B.V.