My research interests span health economics and theoretical/applied econometrics. I have a particular focus on leveraging novel, large datasets for research and on advancing state-of-the-art statistical models.
Published Work
- Generating Synthetic Data with Locally Estimated Distributions for Disclosure Control (2025). Australian & New Zealand Journal of Statistics (Accepted) [Software]
- Spatial analysis of Twitter sentiment and district-level housing prices (2019). Journal of European Real Estate Research (with Christopher Hannum and Kerem Yavuz Arslanli)
Working Paper
- Lost in Aggregation: Quantifying Measurement Error from Geographic Centroids (2025). (with Henry Wen) [Submitted]
- Bridging Language Barriers: The Impact of Large Language Models on Academic Writing (with
Burak Dalamanand Nathan Kettlewell) [Reject & Resubmit @ Journal of Information Technology, SSRN] - Social Interactions in the Demand for Private Health Insurance: Evidence from Linked Employer-Employee Data. (Alicia N. Rambaldi and Chris Rose)
- Linked Administrative Data and Estimating the Marginal Willingness to Pay for Amenities (2024). (Alicia N. Rambaldi and James Hansen)
- Double Robust Mass-Imputation with Matching Estimators (2021). [Poster]
- Forecasting House Sales in Turkey (Yi Zhang)
Grants
- National Suicide Prevention Office Project “Predicting Self-Harm and Suicide Risk within Australian Local Government Areas,” 2024-2025, $296,000, Chief Investigators Henry Cutler, Anam Bilgrami, Ali Furkan Kalay, and Alan Woodward.
- Macquarie University ECR Enabling Scheme, 2025, $3,000.
- University of Technology Sydney Business Research Grant “Spillovers Between Firm Performance and Employees’ Health,” 2025, $12,000, with Nathan Kettlewell, Alan Woodward, and Ali Vergili.
Work-in-progress
- Spillovers Between Firm Performance and Employees (Nathan Kettlewell, Alan Woodward, and Ali Vergili)
- Network Spillovers versus Common Factors: A Joint-Estimation Approach (James Morley, Valentyn Panchenko, Jorge M. Pinto, Chris Rose)
- Baseline Health Distribution Using HILDA (Shan Jiang, Bonny Parkinson, and Yuanyuan Gu)