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
Estimation of the continuous piecewise linear model and macroeconomic applications. Relationships between economic variables are often characterised by non-linearities. This project develops a method to analyse a type of non-linearity that is frequently encountered in economics and uses this method to study four specific applications concerning the dynamics of inflation, growth, and the exchange rate.
Understanding the sources of secular stagnation. This project aims to examine why long-run projections of output, inflation, and interest rates have become lower for many economies in recent years resulting in a phenomenon often referred to as secular stagnation. The project intends to develop new econometric tools to account for sources of structural breaks and stochastic trends in order to quantify the roles of productivity growth, financial shocks, demographics, and inflation expectations in ....Understanding the sources of secular stagnation. This project aims to examine why long-run projections of output, inflation, and interest rates have become lower for many economies in recent years resulting in a phenomenon often referred to as secular stagnation. The project intends to develop new econometric tools to account for sources of structural breaks and stochastic trends in order to quantify the roles of productivity growth, financial shocks, demographics, and inflation expectations in driving secular stagnation. Expected outcomes include findings that will help guide macroeconomic policy responses to stagnation and new econometric tools that will support future applied research on changes in the behaviour of macroeconomic variables.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100713
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Nonparametric estimation and forecasting of yield curve dynamics. This project aims to develop a suite of nonparametric estimation and forecasting techniques for yield curves, which describe how interest rates vary with different maturities. Its significance for monetary policy and fixed-income investment is interesting to policy makers and financial practitioners. Time-varying features are needed in the specification of the yield curve, given the constantly changing financial environment in whi ....Nonparametric estimation and forecasting of yield curve dynamics. This project aims to develop a suite of nonparametric estimation and forecasting techniques for yield curves, which describe how interest rates vary with different maturities. Its significance for monetary policy and fixed-income investment is interesting to policy makers and financial practitioners. Time-varying features are needed in the specification of the yield curve, given the constantly changing financial environment in which bond markets operate. Expected outcomes include new statistical methods and forecasting procedures applicable to empirical problems in economics and finance.Read moreRead less
Pooling econometric models for prediction and decision making. The project develops methods for combining econometric models with the goal of improving prediction. It applies these methods to macroeconomic models used to improve monetary policy and to asset return models used to improve financial risk management.
High-dimensional models with a change point. This project aims to provide a set of estimation and inference procedures for high dimensional quantile regression. Statistical models of threshold regression with change or tipping points are used to explore social issues, including changes in oil and gas prices, effective dosage of drugs and the racial mix in neighbourhoods. To date, using low numbers of variables, the findings have been limited. Big data makes it possible and desirable to solve mor ....High-dimensional models with a change point. This project aims to provide a set of estimation and inference procedures for high dimensional quantile regression. Statistical models of threshold regression with change or tipping points are used to explore social issues, including changes in oil and gas prices, effective dosage of drugs and the racial mix in neighbourhoods. To date, using low numbers of variables, the findings have been limited. Big data makes it possible and desirable to solve more detailed models to provide more accurate results. The quality and accuracy of the project’s results are expected to help governments devise well informed and appropriate policies for social issues.Read moreRead less
Measuring inflation expectations and inflation expectations uncertainty. This project aims to construct model-based measures of inflation expectations and inflation expectations uncertainty. Inflation expectations can determine economic outcomes. This project will develop non-linear time-varying models to combine information from noisy and possibly biased measures of inflation expectations from surveys and financial markets. These model-based measures are expected to be better calibrated and to ....Measuring inflation expectations and inflation expectations uncertainty. This project aims to construct model-based measures of inflation expectations and inflation expectations uncertainty. Inflation expectations can determine economic outcomes. This project will develop non-linear time-varying models to combine information from noisy and possibly biased measures of inflation expectations from surveys and financial markets. These model-based measures are expected to be better calibrated and to provide valuable information for policymakers for formulating macroeconomic policies. They can be used to better assess the credibility of monetary policy and shed light on the causes of low inflation rate in developed economies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100708
Funder
Australian Research Council
Funding Amount
$352,000.00
Summary
Understanding the Linkage of Public and Private Risk in the Global Economy. This project aims to develop a richly detailed model of the global financial system including both public and private institutions. By treating the system as a network of interconnected entities, this project aims to introduce new techniques to map and to trace the evolution of risk in the financial system, to forecast the spillover of risk between entities in the system, and to conduct counterfactual analysis of potenti ....Understanding the Linkage of Public and Private Risk in the Global Economy. This project aims to develop a richly detailed model of the global financial system including both public and private institutions. By treating the system as a network of interconnected entities, this project aims to introduce new techniques to map and to trace the evolution of risk in the financial system, to forecast the spillover of risk between entities in the system, and to conduct counterfactual analysis of potential policy measures. This project will investigate the link between spillover intensity and the existing research on extreme events in financial data. By studying how the recent crisis spread through the global financial system, this project aims to enhance our ability to foresee future crises and to mitigate their impact and costs.Read moreRead less