Impact evaluation
Evaluation
Online Job Seeker Classification Instrument trial evaluation report
This evaluation was conducted to assess the efficiency, effectiveness, accessibility and participant experiences of the Online Job Seeker Classification Instrument (JSCI) trial. It aimed to identify the advantages and disadvantages of the digital platform, define vulnerable cohorts requiring targeted support, analyse data integrity against traditional phone and face-to-face interviews and uncover system barriers to optimise...
Evaluation
STEM professionals in schools: 2018-19 program impact evaluation
This impact evaluation assessed the impact and quality of the STEM Professionals in Schools Program. The program performed best in delivering benefits to direct and indirect program recipients and the greatest impact was with teachers and in the broader community. The report recommends program improvements, including in data collection and the partnership model.
Evaluation
Evaluation of early learning and schools initiatives in the National Innovation and Science Agenda
This evaluation assesses the impact, separately and together, of Australian Government initiatives supporting STEM teaching and learning in schools and the early years. Overall, findings were generally positive and affirmed the Australian Government’s current approach, but there were some clear opportunities for future focus.
Evaluation
Job Commitment Bonus for Young Australians evaluation
This evaluation assesses the effectiveness of the Job Commitment Bonus for young Australians, which provided an incentive to young jobseekers to remain sustainably off welfare. The evaluation found barriers to take-up and effectiveness of the program and made recommendations for future programs.
Evaluation
Improving tax compliance: deductions for work-related expenses
This project provides another example of the returns to government from small changes informed by behavioural insights. BETA partnered with the Australian Tax Office (ATO) to reduce work-related expense claims by $2.2 million and increase tax paid by $0.9 million with a simple letter sent to tax agents using social comparisons.