Calculate Career Complexity Metrics

Calculates career complexity metrics including concurrent employment patterns, employment diversity measures, and complexity indices.

Usage

calculate_impact_career_complexity_metrics(
  data,
  id_column = "cf",
  period_column = "event_period",
  complexity_variables = c("over_id", "arco", "prior")
)

Arguments

data

A data.table containing employment records with event identification

id_column

Character. Name of person identifier column. Default: "cf"

period_column

Character. Column indicating pre/post event period. Default: "event_period"

complexity_variables

Character vector. Variables to use for complexity calculation. Default: c("over_id", "arco", "prior")

Value

A data.table with career complexity metrics:

cf

Person identifier

period

Pre or post event period

max_concurrent_jobs

Maximum number of concurrent jobs

avg_concurrent_jobs

Average number of concurrent jobs

concurrent_employment_days

Days with multiple concurrent jobs

concurrent_employment_rate

Proportion of employment with multiple jobs

employment_diversity_index

Shannon diversity index of employment types

job_complexity_score

Overall job complexity score

career_fragmentation_index

Measure of career fragmentation

Examples

if (FALSE) { # \dontrun{
complexity_metrics <- calculate_career_complexity_metrics(
  data = event_data,
  complexity_variables = c("over_id", "arco", "sector", "contract_type")
)
} # }