Australian Climate Services (ACS) Data Evaluation (2021)
There are significant data and analysis gaps in our understanding of vulnerability and resilience to natural disasters. This is due to poor access to relevant and highly granular data and the resulting inability to develop tailored metrics drawing on linked social, economic, and environmental datasets. ACS is addressing these issues in its support for the prospective National Resilience, Relief and Recovery Agency (NRRRA). MADIP, BLADE and related datasets provide rich information which can be used for in-depth and timely analysis about people and businesses in disaster-prone areas.
Feasibility of Simulating MADIP and BLADE Data (2021)
This project assesses the feasibility of creating simulated microdata that preserves key relationships between variables in MADIP and BLADE while maintaining data confidentiality, then tests the analytical capability of the Amazon Web Server using simulated microdata.
SA Research and Development Aggregate Data – BLADE Consultancy (2020)
The SA Office of the Productivity Commission is analysing administrative data on R& D Tax credits available in BLADE for the purpose of informing their current government inquiries on Research and Development. These inquiries are investigating R&D across South Australian businesses and government, as well as health and medical R&D.
Measuring IP registration and Business Innovation (MIPBI) (2020)
This project will assess the performance of innovation active-businesses with IP registrations compared to innovation-active businesses without registered IP. Such IP protection methods are used by businesses to reduce risk and maximise competitive advantage from their innovative activities. Whilst it is established that innovation has a positive impact on organisation and economy performance, this project will explore the relationship between IP registrations and business performance as well as whether IP registrations are still effective as a measure of this innovation.
Use of micro-economic measures to inform macro-economic measures: the case of using BLADE (2020)
This project investigates how derived experimental business level growth measures from the BLADE data can inform existing aggregate economic growth measures
Parametric and non-parametric techniques (with University of New South Wales) (2018)
This project determines the feasibility of measuring firm level productivity using the experimental firm level capital input measures developed in the below project (Scoping/feasibility study to include capital input measures for firm level productivity). Specifically, it will test the applications of parametric and non-parametric statistical tools with the aim of coming up with experimental firm level productivity measures which can be used by BLADE users in micro-modelling and analysis.
Outputs from this project:
Scoping/feasibility study to include capital input measures for firm level productivity measurement in BLADE (with University of New South Wales) (2018)
The project aims to come up with some experimental firm level capital stock measures that can be used by BLADE users for micro-level productivity measurement and analysis.
Outputs from this project:
- Results presented as part of the Economic Measurement Workshop 2019 (UNSW, Sydney)
- Article: Firm-level Capital Stock and Multifactor Calculation
- Presentation: Measuring firm-level capital stock and productivity using integrated microdata (2019 Australian Conference of Economists, Melbourne)