CEET Annual Conference 28 October 2011 The contribution of VET to a more inclusive Australia Tom Karmel The value of completion VET qualification rates are terrible But, does it matter...... ► yes it does Does this have anything to do with social inclusion ► yes it does Outline Model the pay-off to completion Identify the groups with the highest pay-offs Relate the pay-offs to intention to complete and completion Think about the implications Outcome variables employed after training further study after training employed or further study after training improved employment circumstances after training occupational status after training wages after training Methodology Run separate models for graduates and module completers Predict outcomes for every individual, assuming that they are graduate/module completer Pay-off=graduate outcome/module completer outcome Simplification Focus on employment after training ► study after training ► wages for full-time workers (after training) ► Employed after training ActualPayoff 4 3 2 1 0 0 10000 20000 30000 t 40000 50000 Further study ActualPayoff 8 7 6 5 4 3 2 1 0 0 10000 20000 30000 t 40000 50000 Salary full time ActualPayoff 1.4 1.3 1.2 1.1 1.0 0.9 0.8 0.7 0 10000 20000 30000 t 40000 50000 Summary of pay-offs after training Average pay-off (%) %>0 Employed 21.7 95.6 Further study 122.7 97.7 Employed or further study 28.2 99.9 Improved employment 34.8 95.1 Salary (FT) 0.3 60.7 Salary (PT) 14.3 73.5 Occupational status 2.3 58.9 Employment status after training Population pay-off = 21.7% Unemployed pay-off= 32% Other; Business pay-off= 14.6% Other Services; Community Services; Technical pay-off=47.9% Diploma & Higher; Cert III/IV pay-off = 65.1% Not in labour force pay-off= 108.3.8% Employed pay-off= 2.8% Year 12 pay-off= 96.9% <Year 12 & Cert I/II pay-off= 134.1% Further Study Population pay-off =122.7% Employed pay-off= 99% Diploma & above pay-off= 57.6% Cert III & IV pay-off= 93.9% Unemployed pay-off= 158.1% Cert I & II pay-off= 141.5% Not in labour force pay-off= 217.5% Diploma & above; Cert III & IV pay-off= 172.3% Cert I/II pay-off= 274.7% Salary full time Population pay-off =0.3% Cert I & II pay-off= -0.6% Cert III & IV pay-off= 1.8% Employed pay-off= 0.3% Not in Labour force pay-off= 7.0% Diploma & above pay-off= 6.6% Unemployed pay-off= 8.3% Employed pay-off= 4.9% Not in Labour force; Unemployed pay-off = 13.7% Summary It pays to complete in respect of employment or further study For employment, pay-off is highest for those not employed before training For further study, pay-off is huge, and highest for cert I/II, and depends on employment status before training Those doing diplomas, or a cert III & not employed before, get higher wages by completing The link with completion Question. Are those who benefit more from completion more likely to complete? Answer. No. Question. Are those who benefit more from completion more likely to intend to complete? Answer. No. Probability to complete Estimated Probability 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0 10000 20000 30000 t 40000 50000 Probability to complete Population 84.9% Personal reasons 69.5% Part Time Full Time 74.9% 99.6% Employment Further study 76.4% 74.0% Probability of intending to complete Estimated Probability 1.00 0.98 0.96 0.94 0.92 0.90 0.88 0.86 0.84 0.82 0.80 0.78 0.76 0.74 0.72 0.70 0.68 0.66 0.64 0.62 0.60 0.58 0.56 0.54 0.52 0 1000 2000 3000 4000 t 5000 6000 7000 Probability of intending to complete Population 95% Other 77.2% Part Time Full Time 91.6% 97.2% Other Services 87.1% Business; Technical Community Services 93.1% 95.4% Correlations with prob of completion Pay-off to: Employment after training -.08 Full-time study after training -.23 Salary for full-time employment after training -.08 Intending to complete .58 Correlations with intention to complete Pay off to: Employment after training .04 Further study after training -.33 Salary for full-time employment after training 0.14 Modelling the probability of completion Variable Estimate Intercept -0.16 Probability that student intends to complete 1.03 Satisfaction with training 0.008 Final comments Our analysis is helpful in specifying groups for performance indicators. Gives an insight into where public funds should go? Low completion rates do need to be addressed. ► payment on completions?
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