I am a research economist.
Research Fellow, School of Economics and CEPAR, University of News South Wales, Sydney
Senior Research Associate, School of Finance, University of Sydney Business School
Research Associate, Center for Applied Macroeconomic Analysis, Australian National University
My core research concerns mathematical optimisation theory and computation. I have an interest in new optimisation tools that exploit advances in computing technologies to help solve and compute rich ‘real world’ models in economics and finance; in particular, high-dimensional, non-compact and non-convex optimisation and distributed algorithms on supercomputers.
I also work with co-authors on broader more applied areas in economics. I am working on papers in macroeconomics, growth, structural econometrics, education economics, pension finance, energy, prediction markets and electricity markets. To quote Frank H. Clarke, "all is one".
Email: akshay dot shanker at me dot com
- Play for the rich and work for the poor? The optimal distribution of saving and work in the heterogeneous agents neoclassical growth model [with Martin Wolf][Submitted][Older version with complete mathematical proofs is here]
- Existence of recursive constrained optima in the heterogeneous agent neoclassical growth model
- Energy Intensity, directed technological change and economic growth [with David Stern]
Research in progress
- Stability of electricity spot markets with intermittent energy and battery storage [with Chandra Krishnamurthy and David Stern]
- Retirement eggs and baskets [with Bateman, Dobrescu, Thorp and Newell]
- The power of knowing a woman is in-charge: lessons from an RCT [with Isabella Dobrescu and Alberto Motta][Submitted]
- Having your cake and eating it too: Lagrange multipliers and generalized Hamiltonians
- Computing dynamic models with adjustment frictions and discrete choices using sufficient Euler equations [with Isabella Dobrescu]
"Just consider how terrible the day of your death will be; others will go on speaking, but you will not be able to argue back" - Ram Mahun Roy