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Summarizing the data |
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For each individual, we can sum the number of migrations recorded in the survey, to produce one line of information containing:
| Case number |
| Number of migrations since leaving school (n) |
| Time (t), number of years since leaving school |
Only time independent explanatory variables are included in these cross-sectional data.
| 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.
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TABLE 1: Observed migration frequencies |
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| 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.
NEXT:The Poisson model |
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