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Research Topic : cross-correlation
Australian State/Territory : VIC
Field of Research : Panel Data Analysis
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  • Funded Activity

    Discovery Projects - Grant ID: DP0985432

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and educa .... Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and education policies among others. The project will also provide national benefits in terms of building up the local stock of researchers trained in the area of identification and estimation of nonparametric models; it will further improve the international reputation that Australia has in econometric theory.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120101588

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    The impact of aggregate and idiosyncratic shocks and uncertainties: do immigrants behave differently than the native-born? The project will examine the role of shocks/uncertainties on differences in consumption, savings and labour supply of immigrant and native-born indigenous and non-indigenous population. The results will help guide the formulation of immigration/integration policy, and facilitate the design of programs in response to shocks and financial crises.
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    Funded Activity

    Discovery Projects - Grant ID: DP170104421

    Funder
    Australian Research Council
    Funding Amount
    $337,000.00
    Summary
    Econometric model building and estimation. This project aims to tackle issues in econometric model building and estimation under cross sectional dependence, heterogeneity and nonlinearity. This project will seek to establish flexible econometric models associated with estimation methods and user-friendly computational techniques to try to solve real world problems. The research outcomes are expected to be useful to empirical researchers in evaluating and improving model building and forecasting .... Econometric model building and estimation. This project aims to tackle issues in econometric model building and estimation under cross sectional dependence, heterogeneity and nonlinearity. This project will seek to establish flexible econometric models associated with estimation methods and user-friendly computational techniques to try to solve real world problems. The research outcomes are expected to be useful to empirical researchers in evaluating and improving model building and forecasting from better models in climatology, demography, economics, environment, finance, machine learning and neural networks.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP180102509

    Funder
    Australian Research Council
    Funding Amount
    $399,740.00
    Summary
    Econometric studies of the dynamics of loneliness and social isolation. This project aims to provide new insights into the socioeconomic dynamics of loneliness and social isolation using advanced econometric modelling techniques applied to longitudinal data from Australia and the UK. This project will apply advanced econometric modelling techniques to data from four nationally-representative longitudinal surveys to substantively help address these knowledge gaps, giving policy-makers new informa .... Econometric studies of the dynamics of loneliness and social isolation. This project aims to provide new insights into the socioeconomic dynamics of loneliness and social isolation using advanced econometric modelling techniques applied to longitudinal data from Australia and the UK. This project will apply advanced econometric modelling techniques to data from four nationally-representative longitudinal surveys to substantively help address these knowledge gaps, giving policy-makers new information about how to address these growing societal concerns. The expected outcomes will provide policy-makers with a better understanding of the socioeconomic triggers for loneliness and social isolation; quantify the costs of loneliness and social isolation on health and wellbeing; and identify policy interventions aimed at reducing loneliness and social isolation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0449846

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Economic Reform and Australian Electoral Decision Making. Australia has undergone dramatic economic, demographic and social change in the past twenty years. This project will investigate how these changes have impacted upon elector behaviour. With compulsory voting, comprehensive census data and the Australian Election Study an uniquely detailed dataset can be constructed. This dataset and the application of ?cutting edge? statistical techniques from the fields of cohort analysis and discrete ch .... Economic Reform and Australian Electoral Decision Making. Australia has undergone dramatic economic, demographic and social change in the past twenty years. This project will investigate how these changes have impacted upon elector behaviour. With compulsory voting, comprehensive census data and the Australian Election Study an uniquely detailed dataset can be constructed. This dataset and the application of ?cutting edge? statistical techniques from the fields of cohort analysis and discrete choice modelling will allow for the untangling of various influences on voter behaviour. With compulsory voting many biases due to voter turnout issues will be avoided making this project an unbiased test, with international interest and significance, of voter behaviour.
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