Tracks employer transitions for individuals who experienced a specific contract type, following their employer changes for 4 quarters (91 days each) after the end date of their chronologically first occurrence of that contract type.
Usage
track_employer_trajectories(
data,
contract_type_var = "COD_TIPOLOGIA_CONTRATTUALE",
contract_type_value,
employer_col,
n_quarters = 4,
person_id = "cf",
start_date_col = "inizio",
end_date_col = "fine",
arco_col = "arco",
return_plot = TRUE,
palette = "employer",
use_bw = FALSE,
plot_title = NULL,
plot_subtitle = NULL,
person_vars = NULL,
chunk_size = 10000,
language = "it"
)Arguments
- data
A data.table containing vecshift-processed employment data
- contract_type_var
Character. Column name containing contract type codes (default: "COD_TIPOLOGIA_CONTRATTUALE")
- contract_type_value
Character. Specific contract type value to track
- employer_col
Character. Column name containing employer codes (required parameter, no default)
- n_quarters
Integer. Number of quarters to track after reference date (default: 4)
- person_id
Character. Column name for person identifier (default: "cf")
- start_date_col
Character. Column name for contract start dates (default: "inizio")
- end_date_col
Character. Column name for contract end dates (default: "fine")
- arco_col
Character. Column name for employment status indicator where 0 = unemployment and > 0 = employment (default: "arco")
- return_plot
Logical. Whether to return the alluvial plot (default: TRUE)
- palette
Character. Color palette to use: "employer", "main", "desaturated", "bw" (default: "employer")
- use_bw
Logical. Force black and white palette (default: FALSE)
- plot_title
Character. Custom plot title (default: auto-generated)
- plot_subtitle
Character. Custom plot subtitle (default: auto-generated)
- person_vars
Character vector of person-level variable names to include in the output data (e.g., c("eta", "sesso", "istruzione")). Variables are extracted from the first target contract for each person. Default is NULL (no additional variables).
- chunk_size
Integer. Number of persons to process per chunk for memory management (default: 10000)
- language
Character. Language for status labels: "it" for Italian, "en" for English (default: "it")
Value
A list containing:
data: data.table with individual-level quarterly employer trajectoriessummary: data.table with aggregated trajectory patternstransitions: data.table with aggregated transition counts between quarters, including columns: from_quarter, to_quarter, from_status, to_status, person_vars (if provided), countplot: ggplot2 alluvial plot (if return_plot = TRUE)parameters: List of function parameters used
Details
This function identifies individuals who had a specific contract type, uses the end date of their chronologically FIRST occurrence (earliest start date) as a reference point, then tracks employer transitions in the subsequent quarters. Employer status is determined by comparing the quarter's employer with the reference contract's employer.
Employment is determined by the arco variable where:
arco = 0: Indicates unemployment (not working)arco > 0: Indicates employment (working)
When multiple contracts exist within a quarter:
Employment contracts (
arco > 0) take priority over unemployment periodsWithin each quarter, the employer is taken from the contract with the latest end date
Employer status is classified as:
"Same Employer": Employer matches the reference contract employer
"Different Employer": Employer differs from the reference contract
"Not Working": All contracts in the quarter have arco = 0 (unemployment)
"No Information": No contract data available for the quarter
The function only tracks forward in time from the reference date. When multiple
contracts exist within a quarter, employment contracts (arco > 0) take priority,
and among those, the contract with the latest end date provides the employer code.
Examples
if (FALSE) { # \dontrun{
# Track employer trajectories after temporary contracts
result <- track_employer_trajectories(
data = employment_data,
contract_type_value = "B.01.00",
employer_col = "COD_DATORE_LAVORO",
n_quarters = 4
)
# View the summary of employer trajectory patterns
print(result$summary)
# Display the alluvial plot
print(result$plot)
# Custom visualization with black and white
result_bw <- track_employer_trajectories(
data = employment_data,
contract_type_value = "B.01.00",
employer_col = "COD_DATORE_LAVORO",
use_bw = TRUE,
plot_title = "Employer Trajectories After Temporary Contracts"
)
} # }