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Research Topic : TUMOUR MODELS
Status : Active
Field of Research : Time-Series Analysis
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  • Researchers (11)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP190100537

    Funder
    Australian Research Council
    Funding Amount
    $349,000.00
    Summary
    Fiscal policy and unemployment in an open economy. This project aims to improve our understanding of the impact of commodity price changes. Over the past two decades, Australia has experienced unprecedented fluctuations in commodity prices. The fiscal position and potential of the economy depends on the extent to which commodity price changes are temporary or permanent. This project will uncover empirical regularities between commodity prices, unemployment across sectors and measures of fiscal p .... Fiscal policy and unemployment in an open economy. This project aims to improve our understanding of the impact of commodity price changes. Over the past two decades, Australia has experienced unprecedented fluctuations in commodity prices. The fiscal position and potential of the economy depends on the extent to which commodity price changes are temporary or permanent. This project will uncover empirical regularities between commodity prices, unemployment across sectors and measures of fiscal policy. The project will build structural models of unemployment which will be estimated and used to assess implications for unemployment and budget deficits of commodity price shocks and to study the optimal design of fiscal policy. The project will benefit the conduct of economic policy in Australia.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE200100693

    Funder
    Australian Research Council
    Funding Amount
    $405,458.00
    Summary
    Financial Cycles and the Macroeconomy. The project aims to measure and understand the drivers of the financial cycle. As unsustainable financial conditions, such as excess credit, tend to precede financial cycle busts, which often eventuate into recessions, the project aims to also shed light on the interaction between the financial cycle and macroeconomy. These aims are expected to be achieved through the application of a new set of econometric tools to estimate and interpret financial cycles. .... Financial Cycles and the Macroeconomy. The project aims to measure and understand the drivers of the financial cycle. As unsustainable financial conditions, such as excess credit, tend to precede financial cycle busts, which often eventuate into recessions, the project aims to also shed light on the interaction between the financial cycle and macroeconomy. These aims are expected to be achieved through the application of a new set of econometric tools to estimate and interpret financial cycles. The expected outcomes of this project include new insights for institutions such as the Reserve Bank of Australia and should provide significant benefit through the appropriate design of macroeconomic policy.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102769

    Funder
    Australian Research Council
    Funding Amount
    $518,877.00
    Summary
    New methods for modelling complex trends in climate and energy time series. The project aims to contribute to Australian and international efforts on emission control by advancing the methods for quantifying the relationships between energy production, emission and climate, and assessing the real and financial risks associated with changing the ways in which economies produce and use energy. The project is interdisciplinary and expects to develop new knowledge in the areas of energy and climate .... New methods for modelling complex trends in climate and energy time series. The project aims to contribute to Australian and international efforts on emission control by advancing the methods for quantifying the relationships between energy production, emission and climate, and assessing the real and financial risks associated with changing the ways in which economies produce and use energy. The project is interdisciplinary and expects to develop new knowledge in the areas of energy and climate econometrics. The anticipated outcomes of this project are new methods for modelling variables with complex trends, and an innovative data-driven approach for learning from policy experiences of other countries. This should provide significant benefits by enabling evidence-based policy making in the era of climate change.
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