Economic Measurement (Index Numbers, Income Distribution, Inequality)

Econometrics:  Efficiency and Productivity Measurement, Simulation Based and Bayesian Econometrics

Reza Hajargasht worked as a lecturer at Shiraz University [one of the top Iranian universities] and then as a (Senior) Research Fellow at Melbourne University from 2011-2017. He was a Senior Lecturer in Economics at Swinburne University of Technology from 2017-2021.

Reza is a broad econometrician with interests in income and wealth inequality, purchasing power parities and productivity measurement. Reza’s works have been published in top econometrics and top field journals related to well-being and productivity including Journal of Econometrics, Journal of Business and Economic Statistics, Review of Income and Wealth, and Journal of Productivity Analysis.

Reza is known within productivity, index numbers and Bayesian econometrics research communities. He has received invited presentations to a number of local and international conferences including Asia-Pacific Productivity Workshop, Statistical Society of Australia, European Productivity Workshop (his paper was nominated as one of the three most interesting papers in EWEPA 13) and a funded presentation at Princeton University in 2017. He is one of the founding members of Melbourne’s Bayesian Research Group and Melbourne Bayesian Workshop. He was one of the chief investigators of a $270000 ARC discovery grant from 2017-2021 titled  “Just How Reliable are World Bank’s Purchasing Power Parities”. He is also one of the memebrs of teh core team developing UQICD V.3 database.

UQICD

SAIN (Stochastic Approach to Index Numbers)