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This website is no longer maintained.
I joined the Graduate School of Management, University of California, Davis as a Postdoctoral Scholar in July 2026.
Please visit my new website: https://sites.google.com/view/taigasaito
Email: tasaito@ucdavis.edu
Research Interests
Research Interests
Theoretical and Applied Econometrics, Causal Inference, Machine Learning, Non/Semi-Parametric Statistics
Education
Education
2022.07 - 2026: PhD in Econometrics, Monash University
Supervisors: Professor Jiti Gao , Dr. Akanksha Negi
2026.02 - Visiting PhD Student, USC Marshall School of Business
Supervisor: Professor Yingying Fan
2021: Bachelor of Economics (First Class Honours), The University of Queensland
Working Papers
Working Papers
"A Semiparametric Approach to Treatment Effect Estimation and Inference with Neural Networks" (JMP)
Awards: Young Econometrician Award at 33rd ANZESG at Melbourne University, Best Poster Award at Time Series and Forecasting Symposium at the University of Sydney
Presented at Econometric Society World Congress (Seoul), IAAE (Turin), SETA (Macau), ESAM(Melbourne), ICES(Harbin), TSF (Sydney), ANZESG (Melbourne)
"Flexible and Efficient Estimation of Treatment Effect Heterogeneity via Machine Learning" (draft available upon request)
Work in Progress
Work in Progress
"On the Role of the Number of Folds in Cross-Fitting"
Honours and Awards
Honours and Awards
2024: Young Econometrician Award at 33rd ANZESG at the University of Melbourne.
2023: Best Poster Award at Time Series and Forecasting Symposium at the University of Sydney
2022 - Present: Monash Graduate Scholarship (Monash)
2022 - Present: Monash Business School Dean's Excellence Award (Monash)
2021: International Scholarship for BEcon Honours (UQ)
2017 - 2020: Foundation Year Scholarship From School of Economics (UQ)
Teaching Experience
Teaching Experience
Business Statistics, S1 2024 at Monash
Applied Econometrics, S2 2023, 2024, 2025 at Monash
Introductory Econometrics, S1, S2 2021 at UQ
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