The data comes from a study by McVicar and Anyadike-Danes on
transition from school to work. The data consist of static background
characteristics and a time series sequence of 72 monthly labour market
activities for each of 712 individuals in a cohort survey. The individuals
were followed up from July 1993 to June 1999. The monthly states are recorded
in columns 15 (Jul.93) to 86 (Jun.99).
States are:
employment | (EM) |
FE | further education (FE) |
HE | higher education (HE) |
joblessness | (JL) |
school | (SC) |
training | (TR) |
The data set contains also ids (id) and sample weights (weight) as well as the following binary covariates:
male
catholic
Belfast, N.Eastern, Southern, S.Eastern, Western (location of school, one of five Education and Library Board areas in Northern Ireland)
Grammar (type of secondary education, 1=grammar school)
funemp (father's employment status at time of survey, 1=father unemployed)
gcse5eq (qualifications gained by the end of compulsory education, 1=5+ GCSEs at grades A-C, or equivalent)
fmpr (SOC code of father's current or most recent job, 1=SOC1 (professional, managerial or related))
livboth (living arrangements at time of first sweep of survey (June 1995), 1=living with both parents)
data(mvad)A data frame containing 712 rows, 72 state variables, 1 id variable and 13 covariates.
McVicar, Duncan and Anyadike-Danes, Michael (2002). Predicting Successful and Unsuccessful Transitions from School to Work by Using Sequence Methods, Journal of the Royal Statistical Society. Series A (Statistics in Society), 165, 2, pp. 317--334.