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Field of Research : Econometrics
Research Topic : Shellfish Industry
Australian State/Territory : ACT
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  • Funded Activity

    Discovery Projects - Grant ID: DP140100813

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    The relationship between firm innovation and performance and the role of the government. Productivity growth in Australia has plateaued. Although Federal and State Governments employ a range of different innovation policies designed to stimulate productivity growth, little is known about the effects these programs, and of innovation more generally, on firm performance. One reason why this relationship is unknown relates to the availability of firm-level data. This project, will take advantage of .... The relationship between firm innovation and performance and the role of the government. Productivity growth in Australia has plateaued. Although Federal and State Governments employ a range of different innovation policies designed to stimulate productivity growth, little is known about the effects these programs, and of innovation more generally, on firm performance. One reason why this relationship is unknown relates to the availability of firm-level data. This project, will take advantage of unique access to a dataset provided by the Australian Bureau of Statistics which enables us to observe the activities of every firm in Australia. Using these data and appropriate econometric techniques, the study will examine the effect of a range of government policies designed to stimulate innovation and productivity growth.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100632

    Funder
    Australian Research Council
    Funding Amount
    $857,585.00
    Summary
    Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine th .... Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine the reliability of their analysis. This project will develop statistical and computational methods to better understand observed economic behaviour. By allowing the effects of proposed economic interventions and regulations ex ante, this project will support the development of more efficient and better-targeted policies in every area of the economy.
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    Funded Activity

    Discovery Projects - Grant ID: DP1093496

    Funder
    Australian Research Council
    Funding Amount
    $252,365.00
    Summary
    Entropic Analysis of Financial Risk and Uncertainty. The recent financial crisis has shown that the financial markets are not as stable as expected, and are at risk from a lack of knowledge about new financial products and their risks. This research provides a framework to better measure and forecast financial risks by applying a set of techniques known collectively as entropic analysis as a novel way to measure the amount of information that can be extracted from historical data. The research w .... Entropic Analysis of Financial Risk and Uncertainty. The recent financial crisis has shown that the financial markets are not as stable as expected, and are at risk from a lack of knowledge about new financial products and their risks. This research provides a framework to better measure and forecast financial risks by applying a set of techniques known collectively as entropic analysis as a novel way to measure the amount of information that can be extracted from historical data. The research will facilitate the design of policies and regulations by regulatory authorities that need to evaluate new financial products, their associated risks and their impacts on the financial markets.
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