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Occupational panel dataset with BAEL-style quarterly rotation

Source: R/data.R
occup_panel.Rd

Occupational panel dataset with BAEL-style quarterly rotation

Usage

occup_panel

Format

A data frame with approximately 3900 observations and 15 variables.

id

integer original row identifier from occup

panel_id

integer consistent person identifier across quarters

cohort

character entry quarter (e.g., "2009Q1")

age

numeric age of the worker

sex

numeric sex of the worker

edu

integer education level (1 = highest)

exp

numeric years of experience

district

integer district code

parttime

numeric contract type (1 = full-time)

salary

numeric annual salary

code

character occupational code (4-digit pre-2010, 6-digit post-2010)

multiplier

numeric survey weight

quarter

character survey quarter (e.g., "2009Q1", "2010Q2")

code4

character first 4 digits of occupational code

year

integer year extracted from quarter

quarter_num

integer quarter number (1-4)

Details

A simulated rotational panel derived from occup, inspired by the Polish BAEL (Badanie Aktywnosci Ekonomicznej Ludnosci - Labour Force Survey). Unlike the main occup dataset (repeated cross-sections), this dataset includes workers observed for 4 consecutive quarters, enabling demonstration of the id_var feature in cat2cat().

Panel design:

  • 8 quarters: 2009Q1 through 2010Q4

  • Encoding change between 2009Q4 and 2010Q1

  • Each cohort enters quarterly and stays for 4 consecutive quarters

  • ~150 new subjects enter each quarter (1/4 rotation)

  • ~450 subjects observed across the encoding change

For subjects across quarters:

  • panel_id is consistent across quarters

  • Occupation code is preserved (or mapped via trans at encoding change)

  • Age and experience increase annually (every 4 quarters)

  • Salary varies slightly between quarters (-1% to +2%)

See also

occup for the full repeated cross-section dataset, trans for the transition table

Examples

data("occup_panel", package = "cat2cat")

# Check panel structure
table(occup_panel$quarter)
#> 
#> 2009Q1 2009Q2 2009Q3 2009Q4 2010Q1 2010Q2 2010Q3 2010Q4 
#>    150    300    450    600    600    600    600    600 
table(table(occup_panel$panel_id))  # appearances per subject (target: 4)
#> 
#>   1   2   3   4 
#> 150 150 150 750 

# Subjects observed across the encoding change (2009Q4 -> 2010Q1)
panel_2009Q4 <- occup_panel[occup_panel$quarter == "2009Q4", ]
panel_2010Q1 <- occup_panel[occup_panel$quarter == "2010Q1", ]
length(intersect(panel_2009Q4$panel_id, panel_2010Q1$panel_id))
#> [1] 450