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Research Topic : Micro-array
Socio-Economic Objective : Microeconomics not elsewhere classified
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  • Funded Activity

    Discovery Projects - Grant ID: DP170102840

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    The analysis of social networks. This project aims to explore the role of social networks in training policies, education, banks, and political beliefs. Networks are central to many activities and can help address adequate policies such as targeting key players in networks. The project will develop theoretical issues about the design and implementation of network models and policies, present empirical evidence on the importance of network effects in these activities, and determine the key player .... The analysis of social networks. This project aims to explore the role of social networks in training policies, education, banks, and political beliefs. Networks are central to many activities and can help address adequate policies such as targeting key players in networks. The project will develop theoretical issues about the design and implementation of network models and policies, present empirical evidence on the importance of network effects in these activities, and determine the key players in real-world networks. This project could increase education and help the police and financial authorities.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT170100124

    Funder
    Australian Research Council
    Funding Amount
    $802,000.00
    Summary
    Bayesian analysis of individual decisions in health and labour economics. This project aims to exploit emerging Bayesian Markov chain Monte Carlo methods to develop new approaches to modelling economic decision making. These methods will generate insights into two current and important policy debates. This includes (i) marijuana, alcohol and tobacco use and legalisation of marijuana use; and (ii) parental leave policies, maternity leave decisions and mothers' labour market dynamics. Although p .... Bayesian analysis of individual decisions in health and labour economics. This project aims to exploit emerging Bayesian Markov chain Monte Carlo methods to develop new approaches to modelling economic decision making. These methods will generate insights into two current and important policy debates. This includes (i) marijuana, alcohol and tobacco use and legalisation of marijuana use; and (ii) parental leave policies, maternity leave decisions and mothers' labour market dynamics. Although policies play an important role in observed health and labour market behaviours, their exact effects on individuals' decisions and outcomes are often difficult to quantify due to the complex nature of the decision process. Outcomes from the project will include new evidence of changes in substance uses under different legal scenarios and provide benefits such as yielding vital evidence on labour market and health behaviour impacts to support policy makers and strengthen Australia's research capacity in Bayesian analysis.
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