mvad | R Documentation |
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 and Anyadike-Danes (2002)
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.
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