Calculate Employment Stability Metrics — calculate_employment_stability

Calculates employment stability metrics for pre- and post-event periods including employment rates, spell durations, and job turnover measures.

Usage

calculate_employment_stability_metrics(
  data,
  id_column = "cf",
  period_column = "event_period",
  date_column = "inizio",
  employment_indicator = "over_id",
  min_spell_duration = 7
)

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"
date_column: Character. Name of date column. Default: "inizio"
employment_indicator: Character. Column indicating employment status. Default: "over_id"
min_spell_duration: Numeric. Minimum duration (days) to count as employment spell. Default: 7

Value

A data.table with employment stability metrics:

cf: Person identifier
period: Pre or post event period
days_employed: Total days employed in period
days_unemployed: Total days unemployed in period
employment_rate: Proportion of period employed
employment_spells: Number of distinct employment periods
unemployment_spells: Number of distinct unemployment periods
avg_employment_spell: Average duration of employment spells
avg_unemployment_spell: Average duration of unemployment spells
max_employment_spell: Longest employment spell in period
job_turnover_rate: Employment spells per year in period
employment_stability_index: Composite stability measure (0-1)

Examples

if (FALSE) { # \dontrun{
stability_metrics <- calculate_employment_stability_metrics(
  data = event_data,
  min_spell_duration = 14
)
} # }