Large dynamic time-varying models for structural macroeconomic inference

Funding: 2018: $20,000

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2018

Summary: Large dynamic time-varying models for structural macroeconomic inference. This project aims to broaden the range of macroeconomic models that have an integrated capacity for both greater realism and efficiency in analysis. This approach will be applied to two contexts at the forefront of current macroeconomic research, the effects of noisy productivity signals on business cycles and the effects of fiscal policy shocks. Flexible macro-econometric models underpin accurate inference by economists and policymakers and the project outputs should provide widespread and significant benefits by improving policy and boosting Australia’s comparative advantage.

Publications:

Benati, L, Chan, J, Eisenstat, E & Koop, G 2020, 'Identifying noise shocks', Journal of Economic Dynamics and Control, vol. 111, pp. 103780-103780.
View/Download from: Publisher's site

FOR Codes: Econometric and Statistical Methods, Time-Series Analysis, Macroeconomics (incl. Monetary and Fiscal Theory), Economic Growth, Fiscal Policy, Monetary Policy, Time-series analysis

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.