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Field of Research : Econometric And Statistical Methods
Socio-Economic Objective : Marketing
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  • Funded Activity

    Federation Fellowships - Grant ID: FF0561843

    Funder
    Australian Research Council
    Funding Amount
    $1,911,625.00
    Summary
    Understanding and Modeling Individual Choices in Applied Economics. The fellowship will create a critical mass of researchers in choice modeling theory and methods in areas that Australia needs to sustain economic progress and plan for the future. It will significantly advance knowledge in several major areas: design of health insurance markets; tests for adverse selection in insurance markets; ability of people to plan for retirement (superannuation choices); ability of people to plan and choos .... Understanding and Modeling Individual Choices in Applied Economics. The fellowship will create a critical mass of researchers in choice modeling theory and methods in areas that Australia needs to sustain economic progress and plan for the future. It will significantly advance knowledge in several major areas: design of health insurance markets; tests for adverse selection in insurance markets; ability of people to plan for retirement (superannuation choices); ability of people to plan and choose in dynamic environments; and decisions to adopt new technologies/products in evolving technology markets. The outcome will be new ways to understand and predict choices that can significantly improve practices in business and other organisations.
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    Funded Activity

    Discovery Projects - Grant ID: DP0880074

    Funder
    Australian Research Council
    Funding Amount
    $250,780.00
    Summary
    Latent variable modelling of discrete choice experiments. Discrete choice experiments and models are used to forecast consumer responses to changes in products policies and programs worldwide. Recent research suggests key model assumptions are violated because error variances covary with observed and unobserved factors. In order to address this, we will model systematic relationships between error variances and observed (eg, prices, survey length) and unobserved (eg, 'convenience', 'reputation') .... Latent variable modelling of discrete choice experiments. Discrete choice experiments and models are used to forecast consumer responses to changes in products policies and programs worldwide. Recent research suggests key model assumptions are violated because error variances covary with observed and unobserved factors. In order to address this, we will model systematic relationships between error variances and observed (eg, prices, survey length) and unobserved (eg, 'convenience', 'reputation') factors to improve model reliability and accuracy. This should lead to more accurate models/forecasts, benefitting business and government, which addresses the national priority of 'frontier technologies, promoting an innovative culture and economy'.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343632

    Funder
    Australian Research Council
    Funding Amount
    $197,000.00
    Summary
    Modelling the Choices of Individuals. Individuals make decisions daily and some of these decisions have wide-reaching and long-term consequences, such as choices among housing, public transport, electoral candidates and health care options. The principal aim of this project is to develop reliable and valid ways to model individual level choice processes. Once completed, this will provide insights into ways to aggregate sampled observations when population-level applications are required, and all .... Modelling the Choices of Individuals. Individuals make decisions daily and some of these decisions have wide-reaching and long-term consequences, such as choices among housing, public transport, electoral candidates and health care options. The principal aim of this project is to develop reliable and valid ways to model individual level choice processes. Once completed, this will provide insights into ways to aggregate sampled observations when population-level applications are required, and allow us to compare and test several competing theories of choice behaviour. This will enable us to make contributions to understanding and modelling human decision making in many fields ranging from marketing to medicine.
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