Productivity, Efficiency and Measurement Analytics (PEMA)

• Professor Artem Prokhorov
• Associate Professor Demetris Christodoulou

• Professor Rico Merkert
• Associate Professor Andrew Grant
  
• Associate Professor Dmytro Matsypura

• Professor David Johnstone, University of Wollongong and University of Sydney
• Professor Valentin Zelenyuk, University of Queensland
• Associate Professor Christopher Parmeter, University of Miami
• Associate Professor Abdelaati Daouia, Toulouse School of Economics
• Research Professor Alexander Semenov, University of Florida
• Dr Jessica Leung, Monash Business School
• Dr Robert James, NGS Super

Amsler, C., James, R., Prokhorov, A., Schmidt, P. (2023). Improving Predictions of Technical Inefficiency. Advances in Econometrics, in press.

Tran, K., Tsionas, M., Prokhorov, A. (2023). Semiparametric Estimation of Spatial Autoregressive Smooth-Coefficient Panel Stochastic Frontier Models. European Journal of Operational Research, 304(3), 1189-1199.

Campbell, D., Grant, A., & Thorp, S. (2022). Reducing credit card delinquency using repayment reminders. Journal of Banking and Finance, 142, 106549

Mamonov, M., Parmeter, C., Prokhorov, A. (2022). Dependence Modeling in Stochastic Frontier Analysis. Dependence Modeling, 10(1), 123-144.

Christodoulou, D., Samuell, D., Slonim, R., Tausch, F. (2022). Counteracting dishonesty strategies: A field experiment in life insurance underwriting. Journal of Behavioral Decision Making, in press.

Zhai, T., James, R., Prokhorov, A. (2022). Technical and allocative inefficiency in production systems: a vine copula approach. Dependence Modeling, 10(1), 145-158.

Merkert, R. (2022). The impact of engine standardization on the cost efficiency of airlines. Research in Transportation Business & Management, Published online: 25 February 2022, 100797.

Merkert, R., Hakim, M. (2022). Travel agency transaction costs in airline value chains - A risk in distribution channels in South Asia? Annals of Tourism Research, 95, 103414. 

Grant, A., Johnstone, D., & Kwon, O. K. (2021). A cumulative prospect theory explanation of gamblers cashing-out. Journal of Mathematical Psychology, 102, 102534

Amsler, C., Prokhorov, A., Schmidt, P. (2021). A new family of copulas, with application to estimation of a production frontier system. Journal of Productivity Analysis, 55(1), 1-14.

Prokhorov, A., Tran, K., Tsionas, M. (2021). Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors. Empirical Economics, 60(6), 3043-3068.

Christodoulou, D., Samuell, D. (2020). The adviser effect on insurance disclosures. Applied Economics, 52(5), 519-527. 

Peng, Z., Johnstone, D., Christodoulou, D. (2020). Asymmetric impact of earnings news on investor uncertainty. Journal of Business Finance and Accounting, 47(1-2), 3-26. [

Merkert, R., Bushell, J. (2020). Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control. Journal of Air Transport Management, 89, 101929. 

Grant, A., & Deer, L. (2020). Consumer marketplace lending in Australia: Credit scores and loan funding success. Australian Journal of Management, 45, 607–623.

Grant, A., Johnstone, D., & Kwon, O. K. (2019). The cost of capital in a prediction market. International Journal of Forecasting, 35, 313–320.

Hakim, M., Merkert, R. (2019). Econometric evidence on the determinants of air transport in South Asian countries. Transport Policy, 83, 120-126. 

Christodoulou, D., Ma, L., Vasnev, A. (2018). Inference-in-residuals as an Estimation Method for Earnings Management. Abacus, 54(2), 154-180.

Christodoulou, D., Lev, B., Ma, L. (2018). The productivity of Chinese patents: The role of business area and ownership type. International Journal of Production Economics, 199, 107-124. 

Matsypura, D., Thomspon, R., Vasnev, A. (2018). Optimal Selection of Expert Forecasts with Integer Programming. Omega, 78, 165-175.

Hao, B., Prokhorov, A., Qian, H. (2018). Moment redundancy test with application to efficiency-improving copulas. Economics Letters, 171, 29-33.

Grant, A., Malloch, H., & Satchell, S. (2018). The value of momentum to active managers and planned sponsors in Australia. The Australasian Journal of Applied Finance, 1, 4–10.

Matsypura, D., Prokopyev, O., Zahar, A. (2018). Wildfire fuel management: network-based models and optimization of prescribed burning. European Journal of Operational Research, 264(2), 774-796.

Merkert, R., Mulley, C., Hakim, M. (2018). Trade-offs between transaction cost, operation cost and innovation in the context of procurement and asset specificity - The example of the bus industry. Research in Transportation Economics, 69, 173-179. 

Grant, A., Oikonomidis, A., Bruce, A. C., & Johnson, J. E. V. (2018). New entry, strategic diversity and efficiency in soccer betting markets: The creation and suppression of arbitrage opportunities. European Journal of Finance, 24, 1799–1816.

Christodoulou, D., Sarafidis, V. (2017). Regression clustering for panel data models with fixed effects. Stata Journal, 17(2), 314-329.

Merkert, R., Van de Voorde, E., de Wit, J. (2017). Making or breaking - Key success factors in the air cargo market. Journal of Air Transport Management, 61, 1-5.

Bradrania, R., Grant, A., Westerholm, P. J., & Wu, W. (2017). Fool's mate: What does CHESS tell us about individual investor trading performance? Accounting and Finance, 57, 981–1017

Amsler, C., Prokhorov, A., Schmidt, P. (2017). Endogenous environmental variables in stochastic frontier models. Journal of Econometrics, 199(2), 131-140.

Gudmundsson, S.V., Merkert, R. and Redondi, R. (2017). Cost functions and determinants of unit cost effects in horizontal airline M&As, Transportation Research Part A. Policy and Practice, 103, 444-54.

Prokhorov, A. (2024). Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models. United Kingdom: Routledge. [More Information]

Merkert, R., Bushell, J. (2021). The Future of Air Transport. In R. Vickerman (Eds.), International Encyclopedia of Transportation, (pp. 203-207). New York, USA: Elsevier.

Satchell, S., & Grant, A. (Eds.). (2021). Market momentum: Theory and practice. Chichester, UK: Wiley.

Merkert, R. (2020). Air transport in regional, rural and remote areas. In L. Budd, S. Ison (Eds.), Air Transport Management: An International Perspective (2nd ed.), (pp. 357-372). Abingdon: Routledge. 

Merkert, R., Bushell, J. (2019). Long-distance transport service sustainability: Management and policy directions from the airline perspective. In Stanley J & Hensher D (Eds.), A Research Agenda for Transport Policy, (pp. 89-98). Cheltenham: Edward Elgar Publishing.

Ibragimov, R., Prokhorov, A. (2017). Heavy Tails and Copulas: Topics in Dependence Modelling in Economics and Finance. Singapore: World Scientific Publishing Co. Pte. Ltd.

Gillen, C., Matsypura, D., Prokopyev, O. (2017). Operations Research Techniques in Wildfire Fuel Management. In Butenko S, Pardalos PM, Shylo V (Eds.), Optimization Methods and Applications: In Honor of Ivan V. Sergienko's 80th Birthday, (pp. 119-135). Cham: Springer International Publishing.

Christodoulou, D., Samuell, D. (2020). Do advisors skew disclosures? - Journal of the Australian and New Zealand Institute of Insurance and Finance (ANZIIF).

Christodoulou, D., Grant, A., Johnstone, D. (2019). Behavioural Finance Client and Consumer Behaviour: Engagement and Decision Making - Handbook for Financial Advisers, Sydney, Australia.

Zhang, B., Deer, L., Wardrop, R., Grant, A., Garvey, K., Thorp, S., Ziegler, T., Ying, K., Xinwei, Z., Huang, Y., Gray, Y., Akhtar, S., Anthonisz, S., et al (2016). Harnessing Potential: The Asia-Pacific Alternative Finance Benchmarking Report, March 2016, (pp. 18 - 93). Sydney, Australia: KPMG.

Title: AI vs. Human: The Race in the M&A Decision-Making Process

Date: Apr 19, 2024 11:00 am AEST

Description: The paper proposes an AI approach to explore the universe of M&A opportunities and automate the M&A decision-making process. Tracing previous M&As and mining high-dimensional financial data, the AI model can accurately identify potential acquirers and targets in advance and project market reaction and synergy of M&As.

Statistical Inference for Hicks–Moorsteen Productivity Indices

Date: Apr 5, 2024 11:00 am AEST

Description: The statistical framework for the Malmquist productivity index (MPI) is now well developed and emphasizes the importance of developing such a framework for its alternatives. We try to fill this gap in the literature for another popular measure, known as Hicks–Moorsteen Productivity Index (HMPI).

Title: AI vs. Human: The Race in the M&A Decision-Making Process

Date: Apr 19, 2024 11:00 am AEST

Description: The paper proposes an AI approach to explore the universe of M&A opportunities and automate the M&A decision-making process. Tracing previous M&As and mining high-dimensional financial data, the AI model can accurately identify potential acquirers and targets in advance and project market reaction and synergy of M&As.

Title: Statistical Inference for Hicks–Moorsteen Productivity Indices

Date: Apr 5, 2024 11:00 am AEST

Description: The statistical framework for the Malmquist productivity index (MPI) is now well developed and emphasizes the importance of developing such a framework for its alternatives. We try to fill this gap in the literature for another popular measure, known as Hicks–Moorsteen Productivity Index (HMPI).

Title: Australian Insured Lives industry engagement workshop

Date: 7 September 2023

Description: The industry engagement workshop will brief executives of the life insurance industry industry on scope and significance of proposed Australian Insured Lives initiative. A pilot project is already under way involving the PEMA research group. The workshop is open only for life insurance industry representatives. If you would like to participate as a representative of your organisation, then please get in touch at business.pema@sydney.edu.au.

Title: Machine learning in business: methods and applications

Date: 29 May 2023

Description:This workshop outlined methods and applications of machine learning in business was co-hosted with the Time Series and Forecasting research group and the Business Finance and Banking research group. The workshop included research presentations and a discussion panel with industry experts.

Title: StataCorp lecture on Extended Regression Models (ERMs)

Date: 19 August 2019

Presenter: Chuck Huber, Associate Director of Statistical Outreach at StataCorp

Description: This lecture briefly reviewed the types of complications that ERMs can address and showed how to make inferences despite those complications.

Title: ABS DataLab training

Date: 27 March and 5 April 2018

Presenter: Talei Parker, A/g Assistant Director, Microdata Outputs and Customer Relations, Customised and Microdata Delivery Section, ABS.

Description: The training covered legal responsibilities and clearance of outputs, processes and access, as required for anyone wishing to use the ABS DataLab, the data analysis solution for high-end data users who want to extract full value from ABS microdata in an interactive (real-time) environment.

Title: IBM: Cognitive - The 3rd Era of Computing

Date: 20 Oct 2017

Presenter: Prof. Dr. Jürg von Känel

Description: A short overview of the history, and then focus on the current state of the art in showing examples of todays art of the possible using various kinds of information such as image, voice, natural language texts form short texts like tweets to long reports, and how this starts to allow to tackle problems previously not considered part of what computers can solve, from answering questions to finding pre/con arguments to analysing human personality traits. He showed that all of these are driven by the human desire to make sense of our world using data and the computer becomes an interactive assistant to the human decision maker.

Title: Jeremy Bertomeu and Edwige Cheynel masterclass on Structural Models

Date: 25 Jan 2017

Presenters: Prof Jeremy Bertomeu and Prof Edwige Cheynel

Description: This workshop outlined the theory of structural models with an emphasis on parameter identification and then discuss econometric estimators and related issues. An application on disclosure theory will follow.

Title: Google Big Query

Date: 9 Dec 2016

Presenter: Douglas Abdiel, Google Analytics 360, Asia Pacific region.

Description: A hands-on workshop on how to apply Google's infrastructure for uploading, storing, reducing, and extracting relational databases. The focus is learning to work efficiently with multi-terabyte fluid datasets using real-time computations.

Title: Oceania Stata meeting

Date: 29-30 September 2016

Presenter: StataCorp staff and presenters from academia and industry

Description: The Stata meeting is a flagship event of StataCorp and Stata users in Oceania, and was co-organised with  Neuroscience Research Australia (NeuRA) and Survey Design & Analysis Services Pty Ltd. Associate Professor Demetris Christodoulou served  as the chair of the Stata meeting. 

Title: Prevails workshop on Text Analytics

Date: 28 September 2015

Presenter: Dr Normand Péladeau, President and founder of Provalis Research. 

Description: Provalis Research is a Canadian company specialising in developing and marketing text analytics tools combining computer-assisted qualitative analysis through QDA Miner with quantitative content analysis and text-mining through WordStat. The workshop presents tools and approaches for analysing human language and text mining, including exploration of text, identifying themes, extracting topics, correspondence text analysis, dictionary construction, automated document classification and more.

Title: ABS Expo, UN World Stats Day

Date: 20 October 2015

Presenter: Associate Professor Demetris Christodoulou and Professor Artem Prokhorov

Description: World Statistics Day is a United Nations worldwide initiative for recognising the contribution statistics make in shaping societies around the world. The research group was invited to the participate in the Expo as a representative of the University of Sydney Business School. This is the headline event for World Statistics Day celebrations is the Australian Bureau of Statistics Transformation Showcase Expo, highlighting some key achievements in the ABS transformation program.

Title: Neural Networks in econometric systems

Date: 15-17 Feb 2010

Presenter: Professor Hans Georg Zimmermann, Principal Research Scientist, Siemens AG - Corporate Technology.

Description: The workshops discusses the system identification problem as mainly a learning task, including the integration of additional prior information which can be used as a pre-design of the network architecture. It shows how the modelling procedure itself can be extended instead of insisting on the model building certainties (data, priors), to measure the uncertainties and use these information to control the learning and developing closed dynamical systems. 

Title: Machine Learning on Text Documents

Dates: 2-6 December 2019

Presenters: Alexander Semenov, Social Media Analysis Group, Faculty of Information Technology, the University of Jyvaskyla, Finland. Alexander Veremyev, Department of Industrial Engineering & Management Systems, University of Central Florida, USA

Description: Text analysis involves the process of retrieving, managing, structuring and analysing unstructured text, deriving patterns from structured data using statistical and machine learning algorithms, for evaluation and inference. In this workshop, the focus is the analysis of text documents using machine learning methods. Typical applications include finding/extracting relevant information from the text, text categorisation, document summarization, text clustering, sentiment analysis, personality analysis, concept extraction, analysis of semantic relations, and more.

Title: Text Analytics using Python

Dates: 3-7 December 2018

Presenters: Alexander Semenov, Alexander Veremyev

Description: The workshop will use the Python programming language (Anaconda distribution), and, in particular, overview the most popular machine learning and text processing libraries. Python is a programming language of choice for data scientists for manipulation, visualising and executing complex data analyses on text data.

Title: Machine Learning using Python

Dates: 19-23 February 2018

Presenters: Marcel Scharth, Dmytro Matsypura

Description: The workshop was based on the powerful ecosystem of free and open source machine learning libraries for Python. The main tool used was Scikit-Learn, a production-ready framework that provides a wide range of machine learning algorithms through implementations that are simple to use. The workshop leveraged state-of-art libraries such as XGBoost and TensorFlow for specialised tasks. Participants acquired a wide range of machine learning tools for applications in business and economics.

Title: Bayesian analysis using Stata

Dates: 5-9 February 2018

Presenters: Yulia Marchenko, Demetris Christodoulou

Description: This workshop demonstrated the use of Bayesian analysis in various applications and will introduce Stata's suite of commands for conducting Bayesian analysis.

Title: Social Media data extraction, management and analysis

Dates: 27-30 November 2017

Presenters: Alexander Semenov, Alexander Veremyev, Dmytro Matsypura.

Description: This workshop reviewed key concepts in data extraction and management, in particular, how data can be handled using relational database management systems, and understand how unstructured data from the WWW and social media can be gathered, parsed, loaded into the database, and analysed. In addition, the workshop also covered the basics of network science and its applications.

Title: Stochastic Frontier Analysis using Stata

Dates: 13-17 February 2017

Presenters: Artem Prokhorov, Demetris Christodoulou

Description: The workshops provide a thorough introduction to Stata, including Working Efficiently with Stata (Monday 13 Feb), Stata Programming (Tuesday 14 Feb), and Data Management (Wednesday 15 Feb), as well as two days on Stochastic Frontier Analysis.

Title: Panel data analysis

Date: 8-12 February 2016

Presenter: Associate Professor Vasilis Sarafidis, Department of Econometrics at Monash University

Description: This workshop lays the foundations for panel data analysis and error component models, including mixed/multilevel error error components, for developing linear, non-linear and dynamic estimation models. Applications are drawn from extensive consulting experience on panel data problems, including work with the UK Office for Water Services, Telestyrelsen Denmark, Jersey Competition Regulatory Authority, UK Electricity Association, and Sydney Water Corporation.

Title: Microeconometrics for count data

Date: 14-16 December 2015

Presenter: Professor Colin Cameron, University of California at Davis.

Description: The workshop deals with count data analysis, such as the analysis of frequency of events, such as the number of visits to a doctor, the number of accidents, the number of earthquakes, the number of new patents awarded. The focus is on microeconometrics for count data, including regression analysis and simulation-based analysis, where the dependent variable contains nonnegative integers. All methods are illustrated in by real life applications to cross-section and panel count data examples.

Title: Treatment effects

Date: 29 June - 3 July 2015

Presenter: Dr David Drukker, Director of Econometrics, StataCorp LP.

Description: This workshop focuses on causal analysis using treatment effect estimators, which measure the change in an outcome caused by a subject getting one treatment instead of another or not receiving any treatment, e.g. a patient receiving and the treatment a new drug regimen, or a worker participating in a job-training program. The key question is whether the treatment has a causal effect on an outcome. A counterfactual model specifies the potential outcomes that each individual would obtain under each treatment level, the treatment assignment process, and the dependence of the potential outcomes on the treatment assignment process.

Title: Exploratory data analysis

Date: 9-13 February 2015

Presenter: Associate Professor Demetris Christodoulou, Director of MEAFA research group

Description: This workshop focuses on exploratory data analysis methods for unveiling patterns from data, and suggestive relationships that would inform improved prospective modelling and updated expectations, including the detection of non-linearities, asymmetries, outliers and other data complexities. The workshop will extend to a discussion of nonparametric statistics and robust analysis methods, which are motivated from the need to deviate from rigid assumption-driven mathematical formulations that often fail to be confirmed by observables.

Title: Multilevel/Mixed models

Date: 10-14 February 2014

Presenter: Dr Yulia Marchenko, Director of Biostatistics, StataCorp LP.

Description: The workshops focuses on mixed models containing both fixed effects and random effects not directly estimated but instead summarized through the unique elements of their variance-covariance matrix. Mixed models may contain more than one level of nested random effects, and hence, these models are also referred to as multilevel or hierarchical models, particularly in the social sciences. The approach to linear mixed models is to assign random effects to independent panels where a hierarchy of nested panels can be defined for handling nested random effects.

Title: Structural equation modelling

Date: 24-28 June 2013

Presenter: Kristin MacDonald, Chief Statistician, StataCorp LP.

Description: The workshops focuses on developing an in-depth understanding of SEM approach to modelling causal relations with latent determinants. SEM is an alternative way of thinking, formulating and estimating simple and complex cause-and-effect models, from simple linear regressions and instrumental variable models to measurement models, systems of simultaneous equations, confirmatory factor analysis, correlated uniqueness models, latent growth models and more.

Title: Monte Carlo simulation

Date: 11-15 Februar 2013

Presenter: Associate Professor Demetris Christodoulou, Director of MEAFA research group

Description: The workshop focuses on Monte Carlo (MC) simulation describes the process of generating repeated random sampling for imitating real situations through the use of reasonable probabilistic assumptions. MC simulation is most appropriate for evaluating complex deterministic formulations that are characterised by significant uncertainty. The principles of MC simulation is demonstrated through a wide variety of applications from statistics, econometrics, business, and health.

Title: Advanced Time-Series methods

Date: 6-10 February 2012

Presenter: Dr David Drukker, Director of Econometrics, StataCorp LP.

Description: The workshop focuses on time-series analysis and and latest developments in time-series methods, including filters, unobserved components, structural VAR, and dynamic factor models. A particular emphasis is placed on analysing state-space models, which use state variables to describe a system by a set of first-order differential or difference equations, and decompose the time series into a number of distinct components.

Title: Survival analysis

Date: 18-22 July 2011

Presenter: Professor Rory Wolfe, Director of the Biostatistics Consulting Service, Monash University.

Description: The workshop focuses on mastering survival analysis is in decoding the jargon and in understanding the set of adjustments needed to be made when the data measures time to failure or some other event of interest, are more easily understood when compared directly to their non-survival analogs. The workshop covers non-parametric analysis, semi-parametric analysis and parametric methods of analysis.

Title: Data visualisation

Date: 15-18 February 2011

Presenter: Dr Bill Rising, Director of Educational Services, StataCorp LP

Description: The workshop focuses on providing an in depth analysis of graphing capabilities. Data visualisation examples are demonstrated for a variety of data structures, including cross-sectional data, time-series data, longitudinal data and survey categorical data. The aim is to learn how to produce informative, accurate, robust, complex and beautiful graphs using reproducible routines for multidimensional complex data.

Title: Multiple imputation

Date: 21-25 June 2010

Presenter: Dr Yulia Marchenko, Director of Biostatistics, StataCorp LP.

Description: The workshop provide presents multiple imputation (MI) analysis and a detail description of the three stages of MI (imputation, complete-data analysis, pooling) with applications in Stata 11. Various imputation techniques will be discussed with the main focus on multivariate normal imputation. A number of examples demonstrating how to safely and efficiently manage multiply-imputed data will be provided. Linear and logistic regression analysis of multiply-imputed data as well as several post-estimation features will be presented.

Title: Multilevel/Mixed Models

Date: 10-12 February 2010

Presenter: Dr Roberto G. Gutierrez., StataCorp Director of Statistics

Description: The workshop focuses on multilevel/mixed models contain both fixed effects analogous to the coefficients in standard regression models and random effects not directly estimated but instead summarized through the unique elements of their variance-covariance matrix. Mixed models may contain more than one level of nested random effects, and hence these models are also referred to as multilevel or hierarchical models, particularly in the social sciences.

Title: Survey data analysis

Date: 13-17 July 2009

Presenter: Professor Richard Gerlach, Chair of Business Analytics, University of Sydney Business School.

Description: The workshop introduces the concept and methods for survey data analysis and explains its distinction to the other types of quantitative analysis. It focuses on sampling methods and survey design, including multi-stage sampling, cluster sampling, mixed sampling approaches, design effects and variance components estimation. It uses the European Social Survey to apply the principles and concepts of empirical survey data analysis.

• AusAID
• Australian Bureau of Statistics (ABS)
  
• Australian Competition and Consumer Commission (ACCC)
  
• Australian Institute of Criminology (AIC)
  
• Australian Institute of Family Studies (AIFS)
  
• Centrelink Australia
  
• Commonwealth Scientific & Industrial Research Organisation (CSIRO)
  
• Department of Social Services (DSS)
  
• Department of Defence
  
• Department of Education
• Department of Immigration and Citizenship
  
• Department of Premier and Cabinet
  
• National Disability Services (NDS)
  
• Food Standards Australia and New Zealand
• Productivity Commission
  
• Reserve Bank of Australia (RBA)
  
• SBS Television Network

• Ambulance Service of New South Wales
• Frameworks for Health, St Vincent's Health
• International Women's Development Agency
• NSW Bureau of Crime Statistics and Research (BOCSAR)
• NSW Commission for Children & Young People
• NSW Department of Education & Communities
• NSW Department of Family and Community Services
• NSW Department Of Human Services
• Northern Territory Department of Health & Families
• Northern Territory Department Primary Industry and Fisheries
• Princess Alexandra Hospital
• Royal North Shore Hospital
• South Australia Department of Health
• South Australia Flinders Medical Centre
• South Australian Health and Medical Research Institute
• Queensland Department of Employment, Economic Development & Innovation
• Queensland Health, QLD Gvt
• Office of Industrial Relations, QLD Gvt
• Queensland Treasury, QLD Gvt
• Queensland Nursing and Midwifery
• Queensland Office of Fair and Safe Work
• South Eastern Sydney Local Health District
• Sydney Medically Supervised Injecting Centre
• Sydney South West Area Health Service
• The Queen Elizabeth Hospital
• Western Australia Health

• Australian Red Cross Blood Service
• AusVet
• Access Economics
• Allen Consulting Group
• Australia and New Zealand School of Government
• BakerIDI Heart and Diabetes Institute
• Ballarat Health Services
• Cancer Council Victoria
• Centre for Corporate Public Affairs
• Centre for Independent Studies
• Children's Hospital at Westmead
• Concord Hospital Renal Unit
• Datalytics Pty Ltd
• Data S Pty Ltd
• Deloitte
• Frontier Economics
• Garvan Institute of Medical Research
• General Practice Training Valley to Coast
• George Institute for International Health
• Graduate Careers Australia
• Healthmaps Pty Ltd
• Hunter Industrial Medicine
• Hunter Medical Research Institute
• Jacobs
• Mater Hospitals and Health Services
• National Centre for Immunisation Research and Surveillance
• National Prescribing Service
• NERA Ecomomic Consulting
• Neuroscience Research Australia (NeuRA)
• KMPG
• Parenting Research Centre
• Price Waterhouse Coopers
• Promotion and Primary Health Care
• PricewaterhouseCoopers Australia
• Recognition Public Relations
• St George Hospital of NSW
• The Group of Eight Universities
• Westmead Hospital Neonatal Intensive Care Unit
• Westpac Ltd
• Woolcock Institute of Medical Research

• Aoyama Business School (Japan)
• Bank of Indonesia
• Bank of Korea
• Cancer Registry of Norway (Norway)
• Copenhagen Business School (Denmark)
• International Bank for Reconstruction and Development
• Lancaster Uni Management School (the UK)
• Osaka Uni School of Economics (Japan)
• Qatar University (Qatar)
• Reserve Bank of New Zealand (RBNZ)
• Texas A&M Uni Mays Business School (the US)
• Toulouse Business School (France)
• Uni of the South Pacific Graduate School of Business (Fiji)
• Uni of the South Pacific School of Economics (Fiji)
• Uni of Auckland Business School (NZ)
• Uni of Auckland Faculty of Medical and Health Sciences (NZ)
• Uni of Canterbury School of Business and Economics (NZ)
• Uni of Johannesburg School of Economics (South Africa)
• Uni of Otago School of Business (NZ)
• Uni of Otago Dunedin School of Medicine (NZ)
• Uni of Sussex School of Business and Economics (the UK)
• The World Bank

• ANU Ageing Research Unit
• ANU Australian Demographic and Social Research
• ANU College of Business and Economics
• ANU Centre for Research on Ageing, Health and Wellbeing
• ANU Crawford School on Public Policy
• ANU Fenner School of Environment & Society
• ANU National Centre for Epidemiology and Population Health
• Bond Uni School of Business
• Curtin Uni Business School
• Deakin Uni Collaborating Centre for Obesity Prevention
• Deakin Uni Graduate School of Business
• Edith Cowan Uni School of Accounting, Finance & Economics
• Federation Uni Australia Faculty of Business
• Flinders Uni Centre for Epidemiology and Biostatistics
• Flinders Uni National Institute of Labour Studies
• Flinders Uni Business School
• Flinders Uni Clinical Epidemiology Unit
• Flinders Uni School of Medicine
• Griffith Uni Business School
• Griffith Uni School of Public Health
• James Cook Uni Public Health & Tropical Medicine
• Macquarie Centre for the Health Economy
• Macquarie Uni Graduate School of Management
• Macquarie Uni Psychology
• Menzies School of Health Research
• Monash Business School
• Monash Injury Research Institute
• Monash Uni Faculty of Business and Economics
• Murdoch Children Research Institute
• La Trobe Business School
• La Trobe School of Law and Legal Studies
• RMIT Business SChool
• QUT Business School
• QUT School of Economics and Finance
• QUT School of Psychology and Counselling
• Uni of Adelaide Business School
• Uni of Adelaide Global Food Studies
• Uni of Adelaide School of Mathematical Sciences
• Uni of Adelaide School of Population Health
• Uni of Canberra National Centre for Social and Economic Modelling
• Uni of Canberra Faculty of Business & Government
• Uni of Melbourne Business School
• Uni of Melbourne Centre for Health Policy, Programs & Economics
• Uni of Melbourne Faculty of Business and Economics
• Uni of Melbourne Rural Clinical School
• Uni of New England Business School
• UNSW Australian School of Business
• UNSW Kirby Institute for Infection & Immunity in Society
• UNSW National Centre in HIV Social Research
• UNSW National Drug and Alcohol Research Centre
• UNSW School of Physical, Environmental and Mathematical Sciences
• UNSW Social Policy Research Centre
• UNSW School of Public Health and Community Medicine
• Uni of Newcastle Business School
• Uni of Newcastle School of Medicine and Public Health
• Uni of Queensland Business School
• Uni of Queensland Cancer Prevention Research Centre
• Uni of Queensland Centre for Mental Health Research
• Uni of South Australia Int'l Graduate School of Business
• Uni of Southern Queensland School of Commerce
• Uni of Sydney Business School
• Uni of Sydney Brain and Mind Research Institute
• Uni of Sydney Faculty of Arts and Social Science
• Uni of Sydney Faculty of Pharmacy
• Uni of Sydney Faculty of Veterinary Science
• Uni of Sydney Law School
• Uni of Sydney Medical School
• Uni of Sydney School of Economics
• Uni of Sydney School of Public Health
• Uni of Tasmania Faculty of Business
• Uni of Tasmania Institute for Marine and Antarctic Studies
• UTS Centre of Health Economics Research and Evaluation
• UTS Centre for the Study of Choice
• Uni of Western Australia Business School
• Uni of Western Australia Emergency Medicine
• Uni of Western Australia Telethon Institute Child Health Research
• Uni of Western Sydney College of Business and Law
• Uni of Western Sydney Marcs Auditory Laboratories
• Uni of Wollongong Sydney Business School
• University of Wollongong School of Education
• Victoria Uni of Wellington Management School