Research
My research focuses on developing and applying advanced econometric methods to measure and analyze productivity and efficiency across various sectors. I combine theoretical rigor with practical applications, particularly in healthcare and banking, to provide actionable insights for policy and management.
The work spans from fundamental theoretical contributions in aggregation theory and statistical inference to applied research that directly informs policy decisions and organizational performance improvements.
Core Research Themes
Productivity & Efficiency Analysis
Theoretical and applied research in measuring productivity and efficiency at firm, industry, and economy-wide levels. Key contributions include:
- • Aggregation theory for production analysis
- • Statistical inference for efficiency measures
- • Bootstrap methods for DEA and SFA
- • Multi-factor productivity measurement
Data Envelopment Analysis (DEA) & Stochastic Frontier Analysis (SFA)
Methodological contributions to both nonparametric (DEA) and parametric (SFA) approaches to efficiency measurement:
- • Nonparametric least squares methods for SFA
- • Central limit theorems for aggregate efficiency
- • Combining virtues of DEA and SFA
- • Network DEA and sequential analysis
Performance Measurement
Applied research measuring and improving performance in key sectors:
- • Healthcare Analytics: Hospital efficiency, case-mix analysis, activity-based funding impacts
- • Banking Analytics: Bank efficiency, risk management, foreign ownership effects
- • Industry Analysis: Sector-level productivity, technological change measurement
Applied Econometrics
Development and application of econometric methods:
- • Nonparametric and semiparametric methods
- • Time series analysis and forecasting
- • Dynamic discrete choice models
- • Recession prediction models
Methods and Data
My research employs a combination of theoretical analysis, computational methods, and empirical applications. I work with large-scale datasets from healthcare systems, banking sectors, and national accounts.
Key software and tools include MATLAB, R, and specialized packages for DEA and SFA analysis. I also develop custom software for specific methodological contributions.
Policy and Applied Relevance
My research has direct policy and practical implications:
- • Healthcare Policy: Research on hospital efficiency informs activity-based funding reforms and resource allocation decisions
- • Banking Regulation: Efficiency analysis supports regulatory benchmarking and performance monitoring
- • Economic Policy: Productivity measurement contributes to understanding economic growth and development
- • Consulting: Applied work for government agencies and industry, including Royal Commission of Australia, Asian Productivity Organization, and Netherlands Authority for Consumers and Markets
Current Research Projects
ARC Future Fellowship Project
Improving productivity: theory and application to Australian hospitals (2017-2021)
Spatial Panel Stochastic Frontier Models
Efficiency analysis of Queensland Public Hospitals with spatial considerations
Aggregation Theory
Further developments in aggregation of efficiency and productivity measures