occup: Occupational dataset

In Polkas/catTOcat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Occupational dataset

Description

Occupational dataset

Usage

occup

Format

A data frame with around 70000 observations and 12 variables.

id

integer id

age

numeric age of a subject

sex

numeric sex of a subject

edu

integer edu level of education of a subject where lower means higher - 1 for at least master degree

exp

numeric exp number of experience years for a subject

district

integer district

parttime

numeric contract type regards time where 1 mean full-time (work a whole week)

salary

numeric salary per year

code

character code - occupational code

multiplier

numeric multiplier for the subject to reproduce a population - how many of such subjects in population

year

integer year

code4

character code - occupational code - first 4 digits

Details

occup dataset is an example of unbalance panel dataset. This is a simulated data although there are applied a real world characteristics from national statistical office survey. The original survey is anonymous and take place every two years. It is presenting a characteristics from randomly selected company and then using k step procedure employees are chosen.

occupational dataset

Polkas/catTOcat documentation built on Jan. 26, 2024, 7:10 a.m.