Dr Leonora Risse is a research economist, currently a Lecturer in Economics at RMIT University, and in residence as a Research Fellow with the Women and Public Policy Program at Harvard University in the US.
She earned her PhD in Economics from the University of Queensland in 2008 and worked as a Senior Research Economist for the Australian Productivity Commission, chiefly working on education and employment inquiries. She formerly held a Vice-Chancellor's Postdoctoral Fellowship at RMIT University.
Her research experience encompasses labour economics, gender differentials, wellbeing and disadvantage, population and demographic economics, the economics of education, and efficiency analysis.
Leonora is available to provide economic analysis and commentary on:
- gender differentials in the workforce (eg. gender gaps in pay, promotion, and leadership)
- influence of personality traits, attitudes and societal norms in explaining gender gaps in economic and societal outcomes
- the use of psychology to understand behavioural change and effective policy design
- indicators of disadvantage, inequality and wellbeing
- economics of diversity and inclusion
- women and gender equality issues within economics and other traditionally male professions
In her role as the National Chair of the Women in Economics Network, Leonora can speak about the creation of WEN; the value of diversity in policy and economic decision-making; and the research evidence and policy insights that can inform the pursuit of gender equality in economics and other traditionally male-concentrated domains.
She has ten years of university teaching and lecturing experience, including in microeconomics, macroeconomics and econometrics, and is involved in various initiatives to improve the communication of economics to a broader demographic cohort of students.
Areas of ExpertiseMedia - Demographics
Media - Labour markets
Media - Gender economics (e.g. gender pay gap)
Public Speaking - Demographics
Public Speaking - Labour markets
Public Speaking - Gender economics (e.g. gender pay gap)