LSC South East - lsc.gov.uk - Learning and Skills Council
LSC South East - lsc.gov.uk - Learning and Skills Council
LSC South East - lsc.gov.uk - Learning and Skills Council
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The implication of this is that there are off-setting errors: if one district’s rate is<br />
under-estimated, another’s must be overestimated. Since, over time, these are<br />
converging towards compulsory participation in 2023/2015, this implies off-setting<br />
forecasts of growth in numbers: if it is under-estimated in one district, it is likely to<br />
be over-estimated in another within the county.<br />
Use of the data with our methodology<br />
Any methodology of forecasting, not just ours, has to be internally consistent when<br />
it comes to the forecast. The numbers for a district must add up to the total for the<br />
county, <strong>and</strong> that the sub-components must add up to the overall participation rate.<br />
This means that, inevitably, some items have to be treated as a residual, <strong>and</strong><br />
calculated as such. This can result in large proportionate errors in this residual,<br />
particularly if it is a small item. This may not matter too much if the item is not of<br />
interest per se, such as the numbers in independent schools. However, the growth<br />
of this from the estimated value in 2006 will then influence the values of other<br />
variables <strong>and</strong> lead to uncertainty in the forecast.<br />
Overall, we believe we have made the best use that we can of the data available.<br />
Our model’s estimates are at least internally consistent. However, it would be<br />
useful if further research could shed light on some of the issues where data are<br />
missing or where there are puzzling anomalies between data series.<br />
A comment on NET/NEET data<br />
It would be useful to make use of NET/NEET data (Not in Education or Training/Not<br />
in Education, Employment or Training) in construction of the participation rates, or<br />
as a check. However there are some formidable problems of consistency between<br />
the various series. The figures are published by DCFS in the Statistical First<br />
Release Series but are not disaggregated to the local level. This can be done<br />
using data from the Connexions service, but this is not directly comparable to the<br />
SFR series due to differences of definition of the series <strong>and</strong> because Connexions<br />
is only aware of some, not all, persons within the NET category. The local<br />
breakdown is available for the NEET series, but to be compatible with our series<br />
we should use the NET series, which is the complement of our participation rate.<br />
Furthermore, the NEET rates are based on the numbers in schools <strong>and</strong> colleges in<br />
each district, not on the basis of residence, which is what is used in this report.<br />
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