Discovery Early Career Researcher Award - Grant ID: DE120101106
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Economic rise and decline - as seen from space. This research evaluates the accuracy of night-light based measures of local economic change. Satellite images of night-light cover the entire inhabited regions of the world, thus establishing whether these data can be used to supplement traditional measures of economic activity in countries with weak statistical systems would be a global public good.
Improved theory and practice in econometric modelling of nonlinear spatial time series. Modern Australia faces many challenges in economic and global climate changes, which require advanced statistical technologies in modeling and forecasting of econometric spatial time series data. This project will provide flexible models and methods that enable practitioners to more accurately measure and manage economic and climatic risks.
Massively parallel algorithms for Bayesian inference and decision making. This project uses the graphical processing units of desktop computers, originally developed for games and video, to enhance substantially the quantitative tools used on a daily basis by economists. It will develop procedures and software to enhance the reliability of economic predictions and policy.
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.Read moreRead less
Natural resources and ecosystem services in productivity measurement. This project aims to understand sources of productivity growth through addressing theoretical and practical problems in the economics of natural resources and ecosystem services. It will study the valuation of non-renewable resources and ecosystem services, acknowledging their contributions to economic activity and the effect on national income from their depletion and degradation. It will develop approaches to incorporating n ....Natural resources and ecosystem services in productivity measurement. This project aims to understand sources of productivity growth through addressing theoretical and practical problems in the economics of natural resources and ecosystem services. It will study the valuation of non-renewable resources and ecosystem services, acknowledging their contributions to economic activity and the effect on national income from their depletion and degradation. It will develop approaches to incorporating natural resource depletion and degradation into productivity analysis with the aim of better informing environmental, innovation and industry policy.Read moreRead less
Carbon pricing and its impacts on the productivity growth of Australian industries. This project seeks to investigate the effects of carbon pricing on the productivity of Australian industries. It will provide important insights into the issues of productivity growth and technical efficiency for Australian industries following the imposition of a price on carbon, implemented either through a carbon tax or a carbon trading scheme.
Productivity Measurement, Drivers and Trends: A New Analytical Framework. Significant problems exist in the measurement of productivity and hence its understanding, impeding informed policy formulation. This project aims to advance new concepts and methods for productivity measurement that have the potential to improve policy and national welfare, with special attention to: productivity in the mining industry, which has been a particular problem for Australia; the increased holding of precaution ....Productivity Measurement, Drivers and Trends: A New Analytical Framework. Significant problems exist in the measurement of productivity and hence its understanding, impeding informed policy formulation. This project aims to advance new concepts and methods for productivity measurement that have the potential to improve policy and national welfare, with special attention to: productivity in the mining industry, which has been a particular problem for Australia; the increased holding of precautionary cash balances by firms during financial crises, representing underutilised resources; examination of firm productivity dynamics, without assuming the possibility of disappearing technology capability that is used in standard models; and a more realistic approach to capitalisation of research and development and other intangible investments.Read moreRead less
Improving likelihood estimators: theory and applications to analysing productivity and efficiency and forecasting of probability of economic recession. This project aims to improve one of the most popular statistical methods to empower applied researchers with a more reliable analytical tool. This project will develop mathematical theory and use it to analyse patterns of economic growth, productivity and efficiency of countries. This can be used to forecast probability of entering economic reces ....Improving likelihood estimators: theory and applications to analysing productivity and efficiency and forecasting of probability of economic recession. This project aims to improve one of the most popular statistical methods to empower applied researchers with a more reliable analytical tool. This project will develop mathematical theory and use it to analyse patterns of economic growth, productivity and efficiency of countries. This can be used to forecast probability of entering economic recession, with a focus on Australia.Read moreRead less
Real economy and financial networks. This project aims to analyse the Australian economy from the network perspective. The network approach’s emphasis on the structure of interactions between firms, banks and consumers is important for understanding the economy. The project intends to develop a model of a production network using the input-output links between sectors, including imports and exports, and focusing on credit-lending relations that may cause economic distortions. It also aims to adv ....Real economy and financial networks. This project aims to analyse the Australian economy from the network perspective. The network approach’s emphasis on the structure of interactions between firms, banks and consumers is important for understanding the economy. The project intends to develop a model of a production network using the input-output links between sectors, including imports and exports, and focusing on credit-lending relations that may cause economic distortions. It also aims to advance a theory and estimation methodology for the network formation models useful for prediction and policy analysis. Anticipated benefits include mitigation of economic risks and improved policies.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less