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uscogdata/R/revenue.R
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feat: revenue_concept = c("general", "total") off the crosswalk (#12)
Closes the last blocked test in the suite. Owner ruled both halves of the
open question yes on 2026-07-30.

`cog_revenue()` gains `revenue_concept`, mirroring `expenditure_concept`,
with Census's two published concepts defined as crosswalk
`revenue_subtype` sets rather than item-code prefixes:

  general = own_source + federal + state + local_aid   (the default)
  total   = general + utility + liquor_store + insurance_trust

The manual defines the first by subtracting the other three from the
second (4.3), so both are computable only once all four families are
named -- which cog_pipeline#79 does. Insurance trust now includes the
employee-retirement X codes (X01/X02/X05/X08) alongside the Y codes.

- inst/sql: revenue_long / revenue_long_harmonized carry EVERY revenue
  subtype; the concept narrows in R via the existing subtype_scope
  machinery, exactly as expenditure_concept narrows spending_long.
- cog_explain() now prints each verb's OWN concept. It previously
  printed `expenditure_concept` unconditionally, so a cog_revenue()
  caller was told "Concept: primary" -- a spending concept their result
  has nothing to do with.
- Fixture regenerated at pipeline_commit aadb46b (330 crosswalk rows).

Corrected two stale expectations in the blocked test while un-skipping
it. It asserted X01+X04+X05+X08 and omitted X02, which applies to state
governments and is nonzero for Wisconsin; X04 is an exhibit code for an
INTRAgovernmental transfer that Census's own "Total Emp Ret Rev"
excludes. Verified against that Census field: the right set is
X01+X02+X05+X08 = $2,283,883k, exactly. And its expected `total` of
$33,377,093k predated the Y codes being classified -- complete Total
Revenue for WI FY2012 is $34,881,961k (general 31,338,293 + Y 1,259,785
+ X 2,283,883).

Behaviour change worth knowing: `general` is now STRICT Census General
Revenue, so utility and liquor store revenue leave the default. Measured
on the fixture that is 15.9% of what cog_revenue() returned for cities,
vs 1.2% for states and 1.7% for counties.

Suite: 716 pass / 0 fail / 0 skip -- the first time this package has had
no skipped tests.

Closes #12
2026-07-30 20:49:49 -04:00

68 lines
3.2 KiB
R

# R/revenue.R
#' Summarized revenue by category
#'
#' Mirror of [cog_spending()] for revenue categories. One row per
#' `(year, canonical_govid, revenue_subtype, category)`. Amounts are returned
#' in **full U.S. dollars** (raw Census values are in $1,000s; this verb
#' multiplies by 1000 and records the conversion in `provenance`).
#'
#' @inheritParams cog_spending
#' @param revenue_concept Which of Census's two published revenue concepts to
#' return. Concepts are defined as sets of the crosswalk's `revenue_subtype`
#' values -- never as item-code first letters, which cannot classify
#' correctly (prefix `Y` spans revenue, expenditure and balance codes, and
#' prefix `X` does the same):
#'
#' * `"general"` (default) -- Census General Revenue: `own_source` +
#' `federal` + `state` + `local_aid`. The manual defines this concept by
#' subtraction (section 4.3: *"General revenue comprises all revenue
#' except that classified as liquor store, utility, or insurance trust
#' revenue"*), so utility (`A91`-`A94`), liquor store (`A90`) and
#' insurance trust revenue are all excluded.
#' * `"total"` -- Census Total Revenue: every revenue subtype, i.e.
#' `general` plus utility, liquor store, and insurance trust revenue
#' (`Y01`/`Y02`/`Y04`/`Y11`/`Y12`/`Y51`/`Y52` and the employee-retirement
#' `X01`/`X02`/`X05`/`X08`).
#'
#' The two are related by Census's own identity, `Total Revenue = General +
#' Utility + Liquor Store + Insurance Trust`.
#'
#' Note that the employee-retirement (`X`) codes stop at FY2016, when those
#' systems moved out of the annual finance file into the separate Annual
#' Survey of Public Pensions, so a `"total"` series steps down at the
#' FY2016/FY2017 seam for reasons that are about collection scope rather
#' than revenue (series breaks `SB197`-`SB202`).
#' @return Tibble with columns `year`, `canonical_govid`, `gov_name`,
#' `revenue_subtype`, `category`, `amt_nominal`, optional `amt_real`,
#' optional `amt_per_capita_nominal`, optional `amt_per_capita_real`,
#' optional `pop_source`, `codes_included`, `aggregate_fallback`, `notes`,
#' and `value_source` when `complete = TRUE`.
#' @export
cog_revenue <- function(govid, years, category = NULL,
per_capita = FALSE, adjust_to_year = NULL,
basis = c("harmonized", "raw"), recipe = NULL,
revenue_concept = c("general", "total"),
complete = FALSE) {
# flow_prefixes no longer classifies rows (crosswalk revenue_subtype
# membership does -- General Revenue, i.e. everything except
# insurance_trust) -- it only scopes the recipe-suggestion machinery to
# this verb's recipe families (see R/suggestions.R).
.verb_spendrev(
verb = "cog_revenue",
view_base = "revenue_annotated",
subtype_col = "revenue_subtype",
flow_prefixes = c("T", "A", "U", "B", "C", "D"),
call = match.call(),
govid = govid,
years = years,
category = category,
per_capita = per_capita,
adjust_to_year = adjust_to_year,
basis = basis,
recipe = recipe,
revenue_concept = revenue_concept,
complete = complete
)
}