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  • Funded Activity

    Discovery Projects - Grant ID: DP180103807

    Funder
    Australian Research Council
    Funding Amount
    $404,839.00
    Summary
    New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the r .... New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the range of questions that can be answered by detailed models and there will be benefits in the research community by providing a platform for examining dynamics in large-scale economic systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100476

    Funder
    Australian Research Council
    Funding Amount
    $750,000.00
    Summary
    Next generation computable general equilibrium modelling for economic policy formulation and evaluation. The aim of this project is to create the next generation of computable general equilibrium (CGE) models. The project will do this by introducing into the CGE framework theoretical structures and data from engineering and environmental studies as well as from modern macroeconomics, labour economics, industrial organization, monetary economics and behavioural economics. CGE models are used by .... Next generation computable general equilibrium modelling for economic policy formulation and evaluation. The aim of this project is to create the next generation of computable general equilibrium (CGE) models. The project will do this by introducing into the CGE framework theoretical structures and data from engineering and environmental studies as well as from modern macroeconomics, labour economics, industrial organization, monetary economics and behavioural economics. CGE models are used by governments throughout the world to assist in policy formulation. The outcome of the project will be to improve the application of CGE models in the areas of: trade; environment; energy; immigration; public finance; and macro stimulation.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170100787

    Funder
    Australian Research Council
    Funding Amount
    $331,000.00
    Summary
    Misspecification in models of economic behaviour. This project aims to develop a robust method for estimation and inference with misspecified economic models. Economic models are designed to test hypotheses about economic behaviour and to estimate key parameters, but their validity and accuracy critically depend on the assumption that the model is correctly specified, which is often doubtful. This project will reparametrize the model to allow for misspecification. The project aims to help modell .... Misspecification in models of economic behaviour. This project aims to develop a robust method for estimation and inference with misspecified economic models. Economic models are designed to test hypotheses about economic behaviour and to estimate key parameters, but their validity and accuracy critically depend on the assumption that the model is correctly specified, which is often doubtful. This project will reparametrize the model to allow for misspecification. The project aims to help modellers produce results that better inform decision-makers and help them make more reliable decisions.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP150100210

    Funder
    Australian Research Council
    Funding Amount
    $203,300.00
    Summary
    Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bu .... Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bulk of the data. As a consequence, the statistical analyses may lead to wrong conclusions. This project aims to develop new methodologies to solve this problem for a large class of studies. Applications to stock market risk, exchange rate, and diagnosis of heart diseases will illustrate the new methods.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120101130

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    New models and estimation methods in nonlinear panel data econometrics. This project will develop new econometric models and methods for capturing dynamic and complex relationships within economic and social systems. The outcomes of this project are expected to improve policy making process concerning climate change, economy and financial markets, through providing accurate estimates of relationships of interest.
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    Funded Activity

    Discovery Projects - Grant ID: DP150104292

    Funder
    Australian Research Council
    Funding Amount
    $262,400.00
    Summary
    Forecasting when model stability is uncertain. Forecasts of macroeconomic and financial variables play a crucial role in forward planning undertaken by government and financial institutions, but the predictability of these series is often context and time specific, making standard forecasting techniques unreliable. This project aims to develop new modelling and forecasting techniques that can adapt to structural changes in the model soon after they occur. It aims to derive relevant econometric t .... Forecasting when model stability is uncertain. Forecasts of macroeconomic and financial variables play a crucial role in forward planning undertaken by government and financial institutions, but the predictability of these series is often context and time specific, making standard forecasting techniques unreliable. This project aims to develop new modelling and forecasting techniques that can adapt to structural changes in the model soon after they occur. It aims to derive relevant econometric theory, use simulations to study the properties of the proposed techniques, as well as apply these new techniques to observed data.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE200101070

    Funder
    Australian Research Council
    Funding Amount
    $376,496.00
    Summary
    Consequences of Model Misspecification in Approximate Bayesian Computation. In almost any empirical application, the model the analyst is working with constitutes a misspecified description of the true process that has generated the data. While the method of Approximate Bayesian computation (ABC) is now a staple in the toolkit of the applied modeller, the impact of misspecification in ABC is unknown. This project aims to undertake a rigorous study into the behaviour of ABC under model misspecifi .... Consequences of Model Misspecification in Approximate Bayesian Computation. In almost any empirical application, the model the analyst is working with constitutes a misspecified description of the true process that has generated the data. While the method of Approximate Bayesian computation (ABC) is now a staple in the toolkit of the applied modeller, the impact of misspecification in ABC is unknown. This project aims to undertake a rigorous study into the behaviour of ABC under model misspecification. Expected outcomes include new theoretical results for ABC under misspecification and new methods capable of detecting/mitigating model misspecification. This project will provide significant benefits in all spheres where reliable, robust statistical inference methods are required in order to make reliable decisions.
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    Funded Activity

    Discovery Projects - Grant ID: DP130102950

    Funder
    Australian Research Council
    Funding Amount
    $152,000.00
    Summary
    Estimating the effects of fiscal policy. This project will develop highly flexible models for estimating the effects of fiscal policy, as well as providing insight into how economic assumptions affect these estimates and which assumptions are supported by historical experience. The models and estimates will be useful for researchers, policymakers and businesses.
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    Funded Activity

    Discovery Projects - Grant ID: DP140103029

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Analysis of Fiscal Policy Responses to Macroeconomic Conditions in Australia and the US using Real Time Data. This project investigates the evolution of Australian and US fiscal policy responses to macroeconomic conditions and examines the implications for future levels of public debt. A real time database of fiscal indicators will be constructed to capture information available to policymakers when making decisions. Econometric analysis of the data will involve a flexible approach that captures .... Analysis of Fiscal Policy Responses to Macroeconomic Conditions in Australia and the US using Real Time Data. This project investigates the evolution of Australian and US fiscal policy responses to macroeconomic conditions and examines the implications for future levels of public debt. A real time database of fiscal indicators will be constructed to capture information available to policymakers when making decisions. Econometric analysis of the data will involve a flexible approach that captures how policy has changed in its focus on economic stabilisation and fiscal sustainability. The analysis also allows for forecasts of public debt that take into account the interaction between policy and the economy. The results and methods will be useful in evaluating the stance of fiscal policy and its implications for the sustainability of public debt.
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    Funded Activity

    Discovery Projects - Grant ID: DP160102654

    Funder
    Australian Research Council
    Funding Amount
    $265,000.00
    Summary
    Macroeconomic Consequences of Macroprudential Policy. This project aims to investigate the macroeconomic consequences of macroprudential policies and to provide robust, empirically-based advice to policy-makers about how they should be conducted. The global financial crisis motivated many nations to introduce new policies – known as macroprudential policies – with the explicit goal of maintaining financial stability. Important components of the project include estimation of a multisector small o .... Macroeconomic Consequences of Macroprudential Policy. This project aims to investigate the macroeconomic consequences of macroprudential policies and to provide robust, empirically-based advice to policy-makers about how they should be conducted. The global financial crisis motivated many nations to introduce new policies – known as macroprudential policies – with the explicit goal of maintaining financial stability. Important components of the project include estimation of a multisector small open economy model with interactions between the financial sector and the rest of the macroeconomy and development of new methods to evaluate these policies. Assessing the sensitivity of the performance of macroprudential policies to variations in key dimensions of the model is another important aspect.
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