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2026 ARDC Annual Survey is now open!

The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your interaction with the ARDC and use of our national research infrastructure and services. The survey will take approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure services including Reasearch Link Australia.

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  • Funded Activity

    Linkage Projects - Grant ID: LP0212083

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    The Determinants of Australia's Productivity Performance. Productivity growth is the key to increasing prosperity for all Australians. The scholar will survey the theoretical and empirical literature pertinent to explaining trends and cycles in the productivity of the Australian economy over the past thirty years. The scholar will then select specific areas for focused research which will lead to academic papers and the submission of a PhD thesis.
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    Linkage Projects - Grant ID: LP0884010

    Funder
    Australian Research Council
    Funding Amount
    $194,000.00
    Summary
    Managing the world's most precious resource: The role of water accounting. This project contributes to the National Research Priorities goal to develop sustainable ways of improving water productivity, using less water in agriculture and other industries, and providing increased protection of rivers and groundwater. Robust and rigorous water accounting and assurance will allow water managers to identify and address system water losses, and will underpin increased market and investment confiden .... Managing the world's most precious resource: The role of water accounting. This project contributes to the National Research Priorities goal to develop sustainable ways of improving water productivity, using less water in agriculture and other industries, and providing increased protection of rivers and groundwater. Robust and rigorous water accounting and assurance will allow water managers to identify and address system water losses, and will underpin increased market and investment confidence in water information among water users. The collaborations between industry, academia, government and the accounting and water management professions will provide and demonstrate high profile, significant and timely international thought leadership in the emerging discipline of water accounting standards.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343811

    Funder
    Australian Research Council
    Funding Amount
    $108,000.00
    Summary
    Inference in partially non-stationary time series models. Economic theories typically specify the long-run relationship between economic variables. However, researchers usually examine the long-run features of the data by fitting a restrictive class of models using criteria that have only proven useful for short-term forecasting. In this project we consider alternative models and modelling strategies that are appropriate for the study of the long-run. We also develop computer intensive (bootstra .... Inference in partially non-stationary time series models. Economic theories typically specify the long-run relationship between economic variables. However, researchers usually examine the long-run features of the data by fitting a restrictive class of models using criteria that have only proven useful for short-term forecasting. In this project we consider alternative models and modelling strategies that are appropriate for the study of the long-run. We also develop computer intensive (bootstrap) methods, which will provide a much-needed improvement over the existing (asymptotic) methods for making inference about the long-run. Our research will lead to more reliable models for long-term planning in business, industry and government.
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    Funded Activity

    Discovery Projects - Grant ID: DP0984399

    Funder
    Australian Research Council
    Funding Amount
    $387,943.00
    Summary
    Vector ARMA Models and Macroeconomic Modelling: Some New Methodology and Algorithms. Economic variables are strongly related to each other, as well as being strongly related to their recent history. As a result, good dynamic multivariate models are crucial for effective policy making and forecasting in areas of vital national importance such as monetary and fiscal policy, environmental policy and tourism. Our project advances the frontiers of knowledge in multivariate time series modelling. The .... Vector ARMA Models and Macroeconomic Modelling: Some New Methodology and Algorithms. Economic variables are strongly related to each other, as well as being strongly related to their recent history. As a result, good dynamic multivariate models are crucial for effective policy making and forecasting in areas of vital national importance such as monetary and fiscal policy, environmental policy and tourism. Our project advances the frontiers of knowledge in multivariate time series modelling. The outcome of this project will be immediately useful for macroeconomic policy makers such as the Reserve Bank of Australia and the Treasury, and for industry bodies such as Tourism Australia.
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    Discovery Projects - Grant ID: DP0557625

    Funder
    Australian Research Council
    Funding Amount
    $212,468.00
    Summary
    A Principled Approach to Computer Simulation of Dynamic General Equilibrium Macroeconomic Models. In the last two decades a new generation of computer-intensive modeling techniques has risen to prominence in macroeconomics. These methods have broad policy applications, from public finance and reserve bank operation to analysis of long-run productivity growth, taxation reform, unemployment, international trade policy and natural resource conservation. The size and complexity of these model .... A Principled Approach to Computer Simulation of Dynamic General Equilibrium Macroeconomic Models. In the last two decades a new generation of computer-intensive modeling techniques has risen to prominence in macroeconomics. These methods have broad policy applications, from public finance and reserve bank operation to analysis of long-run productivity growth, taxation reform, unemployment, international trade policy and natural resource conservation. The size and complexity of these models means that even computer-based techniques will rely for the foreseeable future on efficient program design to solve them. The project will construct a comprehensive set of solution techniques and software for this class of macroeconomic models, including detailed mathematical analysis on accuracy of model output.
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