#' minus_neutral
#'
#' `minus_neutral` takes time series data, real potential gdp growth, and
#' consumption deflator growth as input. It calculates a counterfactual
#' situation where each subsequent data is the product of the previous
#' observation, the consumption deflator, and potential gdp growth. It then
#' calculates how quickly in excess of or below real potential gdp growth a
#' data series is growing.
#'
# generalized minus_neutral function
# TODO: revisit this and clean up minus neutral. Should minus neutral
# counterfactual be subtracted from x, or divided into x?
minus_neutral <- function(x, # the data in question
rpgg, # real potential gdp growth,
cdg # consumption deflator growth
) {
output <- x - lag(x) * (1 + rpgg + cdg)
# This is the correct, calculation, but it affects minus_neutral
#output <- x - (lag(x) * (1 + rpgg) * (1 + cdg))
# This optional line will make the 1970 Q1 entries equal a numeric value, rather
# than NA, by assuming that the 1969 Q4 value for each data series was 0.
# Prior versions of the FIM had this setting on for pandemic-era stimulus. We
# have chosen to remove it.
# output <- x - lag(x, default = 0) * (1 + rpgg + cdg)
return(output)
}
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