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Create an OEWS Weight Panel

Source: R/weights.R
onet_weight_panel_oews.Rd

Create an OEWS Weight Panel

Usage

onet_weight_panel_oews(
  oews,
  year,
  code = "occ_code",
  employment = "tot_emp",
  o_group = "o_group",
  reference_taxonomy = "2018 SOC",
  source_taxonomy = NULL,
  crosswalk = NULL
)

Arguments

oews

OEWS data with occupation and employment columns.

year

OEWS estimate year.

code

OEWS occupation code column.

employment

Employment column.

o_group

Optional OEWS aggregation-level column. When present, rows are filtered to detailed occupations by default.

reference_taxonomy

Reference SOC label.

source_taxonomy

Optional source taxonomy label.

crosswalk

Optional source-to-reference crosswalk.

Value

A normalized employment-weight panel.

Details

Real OEWS files include total, major, minor, broad, and detailed occupation rows. When o_group is present, this function keeps detailed rows before computing employment shares. If o_group is absent, obvious aggregate SOC rows such as 00-0000 and codes ending in -0000 are dropped with a warning. weight_share is computed within the returned panel.

Examples

oews <- tibble::tibble(
  occ_code = c("15-1252", "29-1141"),
  tot_emp = c(100, 300)
)
onet_weight_panel_oews(oews, year = 2024)
#> # A tibble: 2 × 7
#>   reference_soc_code  year employment weight_share source source_taxonomy
#>   <chr>              <int>      <dbl>        <dbl> <chr>  <chr>          
#> 1 15-1252             2024        100         0.25 OEWS   2018 SOC       
#> 2 29-1141             2024        300         0.75 OEWS   2018 SOC       
#> # ℹ 1 more variable: reference_taxonomy <chr>