Lance Fisher

Lance Fisher is a PartTime Lecturer in the Department of Economics at Macquarie University, specializing in econometric modeling and macroeconomic policy analysis. His research spans over four decades with significant contributions to Australian economic studies.

His academic qualifications include:

• B.A.(Hons) in Economics from Macquarie University
• M.Com. (Hons) in Economics from The University of New South Wales
• PhD in Economics from the University of Minnesota

Fisher's research focuses on Wealth Economics, Error Correction Models, and Monetary Policy, with particular expertise in sign-restricted Structural Vector Autoregression (SVAR) methodologies. His work bridges theoretical econometrics with empirical analysis of Australian economic data, addressing critical issues in fiscal policy, exchange rate dynamics, and retirement income systems. Recent publications demonstrate innovative approaches to rotation matrices and impulse response analysis within macroeconomic frameworks.

Analysis of his 2021-2025 publications reveals consistent methodological advancement in SVAR applications, with increasing emphasis on Australian-specific policy questions including government spending multipliers and wage determination. His research shows strong integration of mathematical econometrics with real-world macroeconomic challenges.

No scientific awards are documented in the available information.

Fisher has served as Chief Investigator on multiple significant research projects:

• "The use of sign restrictions in macroeconomic modelling" (active since 2017)
• "Roles for life annuities and related products in Australia's retirement income system" (2015-2016)
• "Endgame: managing superannuation in later life" (2012-2015)
• "Security in retirement: forecasting and managing macro economic investment risks" (2008-2011)

These projects demonstrate sustained engagement with Australian retirement policy and macroeconomic risk management. His collaborative network includes prominent economists such as G. Kingston and H. Bateman, with recent methodological work developed alongside H.-S. Huh.