Cross-sectional data



ITEM

Summarizing the data

For each individual, we can sum the number of migrations recorded in the survey, to produce one line of information containing:
ITEM Case number
ITEM Number of migrations since leaving school (n)
ITEM Time (t), number of years since leaving school

Only time independent explanatory variables are included in these cross-sectional data.
ITEM Educational qualification (ed), with 5 levels:

1=Degree or equivalent; professional qualifications with a degree

2=Education above A-level but below degree level; includes professional qualifications without a degree

3=A-level or equivalent

4=Other educational qualification

5=None

The data matrix for the individual shown on the longitudinal data page can be summarized as follows:

case number n t ed
50016 5 9 4

This person is one of the eight in the data set to have 5 migrations during the time in the survey. See Table 1.
The data sets can be downloaded from here. The cross-sectional data set is available in the file rochmigx.dat.


ITEM

TABLE 1: Observed migration frequencies

Number of moves 0 1 2 3 4 5 >=6
Observed frequency 228 34 42 17 9 8 10

Table 1 summarizes the observed migration frequencies for the 348 respondents in the sample.

As the individuals ranged in age from 20 to 60, they had varying lengths of migration history.


If complete randomness in migration behaviour is assumed, then a Poisson model may be used to represent the aggregate count data.

NEXT:The Poisson model

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