
Always goes above and beyond for students.
Brings passion and energy to teaching.
Always fair, constructive, and supportive.
Helps students build confidence and skills.
Always positive and enthusiastic in class.
Dr Zenghua Lu serves as a Senior Lecturer in economics in the School of Economics, College of Business and Law, at Adelaide University. He earned his PhD in econometrics from Monash University and teaches econometric courses. His research interests encompass hypothesis testing, modelling population heterogeneity, model selection, and applied labour economics. Lu's work has been published in leading journals such as the Journal of the American Statistical Association, Computational Statistics and Data Analysis, Econometric Reviews, Economics Letters, and Australian and New Zealand Journal of Statistics. His research has garnered support from the Australian Research Council, including the Discovery Project on efficient causal discovery from observational data from 2014 to 2017.
Key publications by Dr Lu include 'Extended maxT tests of one-sided hypotheses' in the Journal of the American Statistical Association (2016), 'Bahadur intercept with applications to one-sided testing' in Statistical Papers (2020), 'An improved closed procedure for testing multiple hypotheses' in Statistics in Medicine (2020), 'Child disability, welfare payments, marital status and mothers’ labor supply: evidence from Australia' in Cogent Economics and Finance (2017, co-authored with A. Zuo), 'Halfline tests for multivariate one-sided alternatives' in Computational Statistics and Data Analysis (2012), 'Negative interest rates and shadow banking' in The British Accounting Review (2025, with Z. Dai, L. Xu, C. Krishnamurti), and 'Banking competition and the use of shadow credit: Evidence from lending marketplaces' in Global Finance Journal (2023, with Q. Ma, L. Xu, S. Anwar). Previously at the UniSA Business School, he contributes through teaching courses including ECON 2007 Empirical Business Analysis (2025, 2024), ECON 2015 UO Empirical Business Analysis (2024), and INFS 5130 Fundamentals of Data Analytics for Business (2024). Dr Lu is eligible to supervise Masters and PhD students and currently acts as principal supervisor for Miss Zhenmin Rao's Doctor of Philosophy on subgroup analysis through multiple testing in causal treatment effects, started in 2023.

Photo by Osarugue Igbinoba on Unsplash
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