Measures, for each profession and window, the share of postings that mention at least one emerging skill, and compares its change with the change observed over all postings.
Usage
compute_emerging_uptake(
incidence,
emerging,
prof_col,
skill_col = "skill_id",
id_col = "general_id",
time_col = "mese_idx",
base,
target,
core_share = 0.8,
conf = 0.95,
n_boot = 1000L,
seed = 1L
)Arguments
- incidence
Posting-level data.frame with
id_col,time_col,prof_colandskill_col, one row per posting and skill.- emerging
Vector of emerging skill identifiers.
- prof_col
Profession column.
- skill_col
Skill column. Default
"skill_id".- id_col
Posting identifier. Default
"general_id".- time_col
Period column. Default
"mese_idx".- base, target
Numeric vectors
c(from, to).Share of mentions defining the core profile. Default
0.8.- conf
Confidence level of the regional interval. Default
0.95.- n_boot
Bootstrap replicates. Default
1000.- seed
Integer seed. Default
1.
Value
A list with:
professioni: data.table with the profession column,n_base,quota_base,n_target,quota_target,delta_quota,n_emergenti_profilo;regione: one-row data.table withn_base,quota_base,n_target,quota_target,delta_quota,delta_lo,delta_hi.
Details
quota_base and quota_target are the shares of the profession's
postings (with at least one skill) mentioning at least one skill of
emerging in the base and target window; delta_quota is their
difference. The same quantities over all postings form the regional
reference; its confidence interval for the change is obtained by a
bootstrap of postings, which for a share of independent postings
reduces to binomial resampling in each window.
n_emergenti_profilo counts the emerging skills in the core profile
of the profession in the target window: the most mentioned skills
that together cover core_share of its skill mentions.
Examples
inc <- data.table::data.table(general_id = rep(1:8, each = 2),
mese_idx = rep(c(1, 1, 1, 1, 2, 2, 2, 2), each = 2),
cp4 = rep(c("p1", "p2"), each = 2, times = 4),
skill_id = c("a", "b", "a", "c", "a", "b", "a", "c",
"e", "b", "a", "c", "e", "a", "a", "c"))
compute_emerging_uptake(inc, emerging = "e", prof_col = "cp4",
base = c(1, 1), target = c(2, 2), n_boot = 100)
#> $professioni
#> Key: <cp4>
#> cp4 n_base quota_base n_target quota_target delta_quota
#> <char> <int> <num> <int> <num> <num>
#> 1: p1 2 0 2 1 1
#> 2: p2 2 0 2 0 0
#> n_emergenti_profilo
#> <int>
#> 1: 1
#> 2: 0
#>
#> $regione
#> n_base quota_base n_target quota_target delta_quota delta_lo delta_hi
#> <int> <num> <int> <num> <num> <num> <num>
#> 1: 4 0 4 0.5 0.5 0 0.88125
#>