Showcase
Econometrics and Business Statistics
Research showcase
Challenging the status quo by developing new research knowledge that can drive positive change in education, policy and industry practice.
Cybersecurity: How data scrutiny can thwart attacks
Can a new method of analysing big datasets help organisations fight off cyber-attacks?
Econometric methods for distributional policy effect
This project aims to develop new econometric methods that can measure distributional policy effects.
Econometric model building and forecasting
This project seeks to establish new and flexible econometric models associated with estimation methods and user-friendly computational techniques.
Forecasting: Putting the smart into smart meters
A move to unlock the vast data collected by Victoria’s smart meters could help providers better forecast demand.
Forecasts are always wrong (but we need them anyway)
It is human nature to want to know what lies in the future, which is why forecasters have always been in such high demand. Even though that are always wrong.
Future predictions: revolutionising the accuracy of business forecasting
Anticipating customer demands into the future can be tricky. But a new tool could revolutionise the accuracy of business forecasting.
How a tourism slump revolutionised global forecasting
Monash Business School econometricians have altered the world of forecasting.
How climate change could threaten Victoria’s wheat crops
Under some climate change scenarios, heavy losses are predicted for Victoria’s wheat crops. But there are steps farmers can take to mitigate the impact.
Loss-based Bayesian Prediction
This project proposes a new paradigm for prediction using state-of-the-art computational methods.
New methods for modelling complex trends in climate and energy time series
This project aims to contribute to Australian and international efforts on emission control.
Revolutionising water quality monitoring in the information age
This project aims to develop novel statistical methods to detect anomalies in data generated from sensors in the environment in near-real time.
Towards a superannuation system fit for the future
This study focuses on data led understanding of savings habits, on the development of a stochastic superannuation model and the proposal of alternative post retirement solutions.
Understanding the sources of secular stagnation
The ultimate aim of the project is to guide macroeconomic policy to respond appropriately to secular stagnation.
Towards a superannuation system fit for the future
This study focuses on data led understanding of savings habits, on the development of a stochastic superannuation model and the proposal of alternative post retirement solutions.
Cybersecurity: How data scrutiny can thwart attacks
Can a new method of analysing big datasets help organisations fight off cyber-attacks?
Forecasting: Putting the smart into smart meters
A move to unlock the vast data collected by Victoria’s smart meters could help providers better forecast demand.
Forecasts are always wrong (but we need them anyway)
It is human nature to want to know what lies in the future, which is why forecasters have always been in such high demand. Even though that are always wrong.
Future predictions: revolutionising the accuracy of business forecasting
Anticipating customer demands into the future can be tricky. But a new tool could revolutionise the accuracy of business forecasting.
How a tourism slump revolutionised global forecasting
Monash Business School econometricians have altered the world of forecasting.
Revolutionising water quality monitoring in the information age
This project aims to develop novel statistical methods to detect anomalies in data generated from sensors in the environment in near-real time.
Econometric methods for distributional policy effect
This project aims to develop new econometric methods that can measure distributional policy effects.
Econometric model building and forecasting
This project seeks to establish new and flexible econometric models associated with estimation methods and user-friendly computational techniques.
How climate change could threaten Victoria’s wheat crops
Under some climate change scenarios, heavy losses are predicted for Victoria’s wheat crops. But there are steps farmers can take to mitigate the impact.
Loss-based Bayesian Prediction
This project proposes a new paradigm for prediction using state-of-the-art computational methods.
New methods for modelling complex trends in climate and energy time series
This project aims to contribute to Australian and international efforts on emission control.
Understanding the sources of secular stagnation
The ultimate aim of the project is to guide macroeconomic policy to respond appropriately to secular stagnation.