lifedata {bayesmlogit}R Documentation

Simplified Data for generating life tables.

Description

Data extracted and processed from The Health and Retirement Study (HRS).

Usage

lifedata

Format

A data frame with 8198 rows and 16 variables:

trans

Transitions that recorded in the original data. In this data, we have 6 kinds of transtions in total.

age

Age for each subject.

male

Sex for each subject. male=1, female=0.

black,hispanic

Dummy variables for race.

mar

Marital status.

educc,educg

Dummy variables for education level.

cohort

Birth cohort, which is birth year minus 1900.

neb,mwb,wb

Dummy variables for birth regions.

nen,mwn,wn

Dummy variables for residential regions.

Details

To use this package with your data, please make sure your data have a vector for transitions. The transitions can be manually created following the example below:

In lifedata, Each subject has 3 states in the cohort: 1: health; 2: unhealthiness; 3: death. Thus we will have 6 kind of possible transitions: 1:health to health; 2:health to unhealthiness; 3: health to death; 4: unhealthiness to health; 5: unhealthiness to unhealthiness; 6: unhealthiness to death. To check the transition for each subject, please use lifedata[,1].

When creating transitions by yourself, please follow the orders as below:

Health Unhealthiness Death
Health 1 2 3
Unhealthiness 4 5 6
Death - - -

where the first column indicates the previous state of subjects and the first row indicates the current state that subjects are in. The numbers indicates the index of our transitions. For impossible transitions like death to death, you can also label them following the above order, which won't change the results. If transitions are not created in this order, the computation may encounter an error. One can also use CreateTrans() to create the transition vector.

Source

https://hrsdata.isr.umich.edu/data-products/rand?_ga=2.225225498.1006069885.1653670364-1014684070.1647264850

See Also

CreateTrans


[Package bayesmlogit version 1.0.1 Index]