| dat {acid} | R Documentation |
ACID Simulated Data
Description
This is some simulated income data from a mixture model as used in Sohn et al (2014).
Usage
data(dat)Format
The format is: List of 4 $ dag.para:'data.frame': 8 obs. of 1 variable: ..$ parameters: num [1:8] 0.2 0.1 0 25000 20000 5 0.5 1 $ dag.s :'data.frame': 100 obs. of 3 variables: ..$ cat: int [1:100] 3 1 3 1 2 3 3 1 3 3 ... ..$ y : num [1:100] 36410 0 58165 0 15034 ... ..$ w : int [1:100] 1 1 1 2 1 3 2 1 1 1 ... $ LN.para :'data.frame': 6 obs. of 1 variable: ..$ parameters: num [1:6] 0.2 0.1 0 25000 10 2 $ LN.s :'data.frame': 100 obs. of 3 variables: ..$ cat: int [1:100] 3 3 1 3 3 3 3 3 3 3 ... ..$ y : num [1:100] 29614 29549 0 33068 463941 ... ..$ w : int [1:100] 1 2 1 1 1 1 1 2 1 1 ...
Details
The data contains information on whether the person is unemployed (cat=1), precariously employed (cat=2) or in standard employment(cat=3), the corresponding parameters used to generate the truncated distribution - both for Log-normal and Dagum.
References
Sohn, A., Klein, N., Kneib. T. (2014): A New Semiparametric Approach to Analysing Conditional Income Distributions, in: SOEPpapers, No. 676.
Examples
data(dat)
str(dat)