Overview
The scale and persistence of the youth employment challenge an important question for government, employers and organisations supporting young people to answer.
To help generate forward-looking analysis that supports more effective decision making, we have conducted statistical forecasting.
In this report, we explore how the number of young people not in education, employment and training (NEET) could evolve under different economic conditions by 2036.
The resulting projections are conditional and illustrate what could happen under different circumstances, giving policymakers a clearer sense of the challenge they are planning for.
The forecasting model takes three main types of inputs to create its projections:
- Historical NEET patterns from the Office for National Statistics, which allow the model to capture persistence and seasonal patterns in NEET.
- Explanatory variables, including real GDP growth, the UK unemployment rate, vacancy levels and selected structural indicators, which capture relationships between economic and labour-market conditions and NEET.
- Future economic assumptions, supplied externally to the model, which determine the economic conditions under each scenario.
How to use
The model is best viewed as a scenario and planning tool. It provides an indication of how the scale of the NEET population could vary under different economic circumstances and can provide a baseline for policy analysis, including by allowing separately estimated policy impacts to be considered alongside different economic scenarios.
The resulting NEET projections should not be interpreted as unconditional forecasts of what will happen in the future, since different economic conditions would result in different NEET projections.