Case-control sample extracted from Fang and Gong (2020). The case-control sample is extracted from Fang and Gong (2020) by the following procedure. The case sample is composed of 2,261 flagged physicians (that is, those who billed for more than 100 hours per week). The control sample of equal size is randomly drawn without replacement from the pool of physicians who were never flagged. The sample is composed of 4,522 physicians who billed at least 20 hours per week.
FG_CCA data frame with 4,522 rows and 5 variables:
indicator: physician is male
indicator: physician has a MD degree
experience in years
indicator: physician billed for more than 100 hours per week
indicator: number of group practice members less than 6
Fang, H. and Gong, Q. (2017). Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked. American Economic Review, 107(2), 562-91.
Matsumoto, B. (2020). Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Comment. American Economic Review, 110(12), 3991-4003.
Fang, H. and Gong, Q. (2020). Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Reply. American Economic Review, 110(12), 4004-10.