Statistical computing
Alternative labels
Statistics data processing
R (Programming language)
Report
Data insights in civil justice: NSW Civil and Administrative Tribunal - Guardianship Division (NCAT Part 4)
The Department of Justice NSW is seeking to optimise the use of civil court and tribunal data for evidence-based decision-making, specifically the civil divisions of the Local, District and the Supreme Court, the Land and Environment Court and the NSW Civil and Administrative Tribunal (NCAT). To facilitate this process, the Law and Justice Foundation of...
Report
Data insights in civil justice: NSW Civil and Administrative Tribunal - Overview (NCAT Part 1)
The Department of Justice NSW is seeking to optimise the use of civil court and tribunal data for evidence-based decision-making, specifically the civil divisions of the Local, District and the Supreme Court, the Land and Environment Court and the NSW Civil and Administrative Tribunal (NCAT). To facilitate this process, the Law and Justice Foundation of...
Report
Data insights in civil justice: NSW Civil and Administrative Tribunal Administrative and Equal Opportunity Division & Occupational Division (NCAT Part 3)
The Department of Justice NSW is seeking to optimise the use of civil court and tribunal data for evidence-based decision-making, specifically the civil divisions of the Local, District and the Supreme Court, the Land and Environment Court and the NSW Civil and Administrative Tribunal (NCAT). The Law and Justice Foundation of NSW has been engaged...
Report
Data insights in civil justice: NSW Civil and Administrative Tribunal - Appeal Panel (NCAT Part 5)
The Department of Justice NSW is seeking to optimise the use of civil court and tribunal data for evidence-based decision-making, specifically the civil divisions of the Local, District and the Supreme Court, the Land and Environment Court, and the NSW Civil and Administrative Tribunal (NCAT). The Law and Justice Foundation of NSW has been engaged...
Working paper
Earnings dynamics and measurement error in matched survey and administrative data
This paper analyses the measurement error and earnings dynamics of two sources of individuals' annual earnings from Statistics New Zealand's Survey of Family, Income and Employment (SoFIE) and administrative linked employer-employee data (LEED) earnings reported in the Integrated Database Infrastructure (IDI).