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
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
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
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
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.
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.