| GSPS {BayesRGMM} | R Documentation |
The German socioeconomic panel study data
Description
The German socioeconomic panel study data was taken from the first twelve annual waves (1984 through 1995) of the German Socioeconomic Panel (GSOEP) which surveys a representative sample of East and West German households. The data provide detailed information on the utilization of health care facilities, characteristics of current employment, and the insurance schemes under which individuals are covered. We consider the sample of individuals aged 25 through 65 from the West German subsample and of German nationality. The sample contained 3691 male and 3689 female individuals which make up a sample of 14,243 male and 13,794 female person-year observations.
Usage
data(GSPS)
Format
A data frame with 27326 rows and 25 variables
- id
person - identification number
- female
female = 1; male = 0
- year
calendar year of the observation
- age
age in years
- hsat
health satisfaction, coded 0 (low) - 10 (high)
- handdum
handicapped = 1; otherwise = 0
- handper
degree of handicap in percent (0 - 100)
- hhninc
household nominal monthly net income in German marks / 1000
- hhkids
children under age 16 in the household = 1; otherwise = 0
- educ
years of schooling
- married
married = 1; otherwise = 0
- haupts
highest schooling degree is Hauptschul degree = 1; otherwise = 0
- reals
highest schooling degree is Realschul degree = 1; otherwise = 0
- fachhs
highest schooling degree is Polytechnical degree = 1; otherwise = 0
- abitur
highest schooling degree is Abitur = 1; otherwise = 0
- univ
highest schooling degree is university degree = 1; otherwise = 0
- working
employed = 1; otherwise = 0
- bluec
blue collar employee = 1; otherwise = 0
- whitec
white collar employee = 1; otherwise = 0
- self
self employed = 1; otherwise = 0
- beamt
civil servant = 1; otherwise = 0
- docvis
number of doctor visits in last three months
- hospvis
number of hospital visits in last calendar year
- public
insured in public health insurance = 1; otherwise = 0
- addon
insured by add-on insurance = 1; otherswise = 0
Source
References
Riphahn RT, Wambach A, Million A (2003). “Incentive effects in the demand for health care: a bivariate panel count data estimation.” Journal of Applied Econometrics, 18(4), 387–405.