Discovery Early Career Researcher Award - Grant ID: DE120101426
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Understanding industrialisation, entrepreneurship, and technology adoption in emerging economies: new evidence from historical Japanese firms. Japan's pre-war industrialisation is widely used as a model by emerging economies, despite a lack of detailed data. This project provides a new firm-level dataset from hitherto unused archives, which allows empirical testing of theories about entrepreneurial activity, technology adoption, financial access, and other determinants of economic growth.
International coalitions for climate change mitigation: the role of carbon market linkages and trade restrictions. This project uses cooperative game theory, implementation theory and agent-based modelling to investigate how coalitions to reduce greenhouse gas emissions could be formed and maintained among countries. Applications include the role of carbon market linkage and trade policy, in countries of the Asia-Pacific region.
Discovery Early Career Researcher Award - Grant ID: DE150100795
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
New approaches to estimating nonlinear time-varying macroeconometric models. Quantitative models are essential for formulating good policies. In a changing world, the analysis should be based on models that allow the behaviour of the economy to change over time. Due to computational limitations, however, one is often restricted to linear models, even when nonlinear ones are more appropriate. This project aims to develop new methods for estimating time-varying nonlinear models. Two important appl ....New approaches to estimating nonlinear time-varying macroeconometric models. Quantitative models are essential for formulating good policies. In a changing world, the analysis should be based on models that allow the behaviour of the economy to change over time. Due to computational limitations, however, one is often restricted to linear models, even when nonlinear ones are more appropriate. This project aims to develop new methods for estimating time-varying nonlinear models. Two important applications are also considered: one investigates how the zero lower bound on interest rates affects the monetary policy transmission mechanism; and, the other examines how uncertainties about monetary and fiscal policy affect economic growth and inflation. This project will have strong practical significance for conducting macroeconomic policy.Read moreRead less
Random network models with applications in biology. Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.
"These blessed 'censi'": the history of an ignored credit instrument in Florentine economic, social and religious life from 1570 to 1790. The project explores the role of 'Censi', a type of annuity, in the life and economy of Florence from 1570 to 1790. It seeks to demonstrate that 'Censi' made it possible for Florentines to maintain a substantial level of prosperity throughout this period, despite the loss of a long-held leadership in banking, international trade and industry.
Risk management with real-time financial and business conditions indicators. This project will develop new methods that combine financial and macroeconomic information that arrives at different intervals to better understand the implications of this information for risk management and policy decision-making. This will support better risk management strategies especially when economic conditions are very volatile.
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.Read moreRead less
The rate of time preference in choice experiments: A systematic re-analysis. This project intends to re-analyse data from over 20 years of past research to understand when and why people sometimes make short-sighted choices. Time preference is a core concept in both theoretical and applied economics and a key input in public policy, yet empirical understanding of it is poor. Almost all important decisions of households, businesses and government involve benefits and costs that unfold over time. ....The rate of time preference in choice experiments: A systematic re-analysis. This project intends to re-analyse data from over 20 years of past research to understand when and why people sometimes make short-sighted choices. Time preference is a core concept in both theoretical and applied economics and a key input in public policy, yet empirical understanding of it is poor. Almost all important decisions of households, businesses and government involve benefits and costs that unfold over time. Many economists have used decision-making experiments to study how people value the future and make trade-offs over time, but these have not reached any clear consensus. This project plans to systematically re-analyse primary data using state-of-the-art estimation techniques to generate new estimates of the discount rate for each study. These will then be analysed in a meta-regression analysis to identify the factors that cause discount rates to vary between studies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100644
Funder
Australian Research Council
Funding Amount
$371,000.00
Summary
Nonlinear econometric panel models with fixed effects. This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limi ....Nonlinear econometric panel models with fixed effects. This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limitations for many econometric models, and apply them to important models in health economics and international trade. Such improvements are expected to reduce risk in public decision-making, resulting in better and more effective policies.Read moreRead less
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.