Dr. Duncan Ironmonger

Associate Professor

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Biography

Duncan Ironmonger is an Associate Professor in the Department of Economics at the University of Melbourne. He has extensive experience in economic research with a focus on household economics, time use statistics, and macroeconomics. He holds a Master of Commerce from the University of Melbourne and a PhD in Economics from the University of Cambridge. Since 2001, he has been a Fellow of the Academy of Social Sciences in Australia. Ironmonger began his statistical career over 60 years ago at the Australian Bureau of Statistics in Canberra. In 1966, he joined the University of Melbourne, serving as Senior Research Fellow within the Institute of Applied Economic and Social Research before rising to the position of Deputy Director. He later directed the Centre for Applied Research at the Faculty of Architecture and Planning and the Households Research Unit within the Department of Economics. His research contributions include foundational work in household input-output tables and Gross Household Product estimates, alongside interests in the dynamics of household size and demography. He has consulted for various government departments and international organizations, including the UNDP and AusAID, and has been involved in econometric modeling for over three decades. Ironmonger is also the foundation editor of the Australian Economic Review.

Research Interests

Experience

Associate Professor

2001-01-01 — Present

University of Melbourne • Melbourne

Serves as an Associate Professor in the Department of Economics, focusing on household economics and time use research.

Requirements for University of Melbourne

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:16
Reading
Required:16
Writing
Required:19
Speaking
Required:19
Total
Required:81
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:64
Prerequisites
Undergraduate degree in a cognate discipline (Computer Science, Data Science, or Statistics) MAST10006 Calculus 2 MAST10007 Linear Algebra At least 12.5 credit points of computer programming subjects
Application Checklist
  • Academic Transcripts
  • Graduation Certificate
  • Evidence of English Proficiency
  • CV/Resume
  • Statement of Purpose