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Field of Research : Econometric And Statistical Methods
Research Topic : costs
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  • Funded Activity

    Discovery Projects - Grant ID: DP0559033

    Funder
    Australian Research Council
    Funding Amount
    $257,393.00
    Summary
    Measurement and Sources of Productivity Growth under Imperfect Competition. The relative growth performance of countries using net output will free comparisons from the contentious and differing adjustments made by many statistical agencies in an attempt to take account of quality change in capital goods. Thus, Australia will have a better understanding of its relative performance in terms of growth, and thus be better positioned to make informed policy decisions. In addition, whether producti .... Measurement and Sources of Productivity Growth under Imperfect Competition. The relative growth performance of countries using net output will free comparisons from the contentious and differing adjustments made by many statistical agencies in an attempt to take account of quality change in capital goods. Thus, Australia will have a better understanding of its relative performance in terms of growth, and thus be better positioned to make informed policy decisions. In addition, whether productivity growth is mainly driven by technical progress or returns to scale, and the size of monopolistic markups, has a large bearing on how we view the performance of an economy and its potential for future growth.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455483

    Funder
    Australian Research Council
    Funding Amount
    $47,112.00
    Summary
    Mining venture risk: novel econometric methods to integrate joint financial and geological uncertainty into dynamic risk forecasting measures. The mining industry is nationally important: it contributed $33,927M to Australia's GDP in 2002-3. This project's outcomes - sophisticated statistical and econometric tools - will significantly improve capability for forecasting overall risk to mining projects requiring vast upfront, irreversible investments, and contribute to its efficiency and internati .... Mining venture risk: novel econometric methods to integrate joint financial and geological uncertainty into dynamic risk forecasting measures. The mining industry is nationally important: it contributed $33,927M to Australia's GDP in 2002-3. This project's outcomes - sophisticated statistical and econometric tools - will significantly improve capability for forecasting overall risk to mining projects requiring vast upfront, irreversible investments, and contribute to its efficiency and international competitiveness. Innovative methods driven by data from complex financial and geological systems will integrate price volatility risk and orebody uncertainty in a real options framework, providing holistic, rigorous measurement of mining venture risk. Xstrata Queensland Ltd will strongly support and participate in research training of an identified candidate to deliver discoveries to the wider industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP0450257

    Funder
    Australian Research Council
    Funding Amount
    $165,000.00
    Summary
    New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evo .... New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evolution over time. In so doing, they enable both accurate inferences regarding the dynamic structure of the data to be drawn and accurate forecasts of future event counts to be produced.
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    Funded Activity

    Discovery Projects - Grant ID: DP0450568

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Robust Productivity Measurement: An Econometric Distance Function Approach. Accurate measures of productivity are required in a range of economic analyses. For example, in the assessment of the success of microeconomic reforms, or in price-cap regulation of utility and transport infrastructure firms. In this project we investigate the use of econometric distance functions as a means of obtaining improved productivity measures. This new approach addresses the main criticisms of alternative ap .... Robust Productivity Measurement: An Econometric Distance Function Approach. Accurate measures of productivity are required in a range of economic analyses. For example, in the assessment of the success of microeconomic reforms, or in price-cap regulation of utility and transport infrastructure firms. In this project we investigate the use of econometric distance functions as a means of obtaining improved productivity measures. This new approach addresses the main criticisms of alternative approaches, such as the single output restriction in the production function approach, the optimisation assumptions embedded in both the value dual approach and the Törnqvist index approach, and the statistical noise criticism of the data envelopment analysis approach.
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    Showing 1-4 of 4 Funded Activites

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