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#' FG
#'
#' Dataset from Fang and Gong (2017,2020).
#' The original dataset in Fang and Gong (2017) is updated in Fang and Gong (2020) after Matsumoto (2020) pointed out data and coding errors in the original work.
#' We use the updated version of the dataset.
#' The sample is composed of 78,165 physicians who billed at least 20 hours per week.
#'
#' @format A data frame with 78,165 rows and 5 variables:
#' \describe{
#' \item{male}{indicator: physician is male}
#' \item{isMD}{indicator: physician has a MD degree}
#' \item{experYear}{experience in years}
#' \item{flag}{indicator: physician billed for more than 100 hours per week}
#' \item{smallPractice}{indicator: number of group practice members less than 6}
#' }
#' @source Fang, H. and Gong, Q. (2020) Data and Code for: Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Reply.
#' Nashville, TN: American Economic Association [publisher]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-11-23.
#' \doi{10.3886/E119192V1}
#' @references Fang, H. and Gong, Q. (2017). Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked.
#' American Economic Review, 107(2), 562-91.
#' @references Matsumoto, B. (2020). Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Comment.
#' American Economic Review, 110(12), 3991-4003.
#' @references Fang, H. and Gong, Q. (2020). Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Reply.
#' American Economic Review, 110(12): 4004-10.
"FG"
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