Hi, 
I’m Nimni Senanayaka

I’m a PhD candidate in Econometrics at Monash University, specializing in causal inference, partial identification, and inference for income distribution under missing data. My research focuses on partial identification of bounds on distributions in the presence of missing data. Passionate about data-driven decision-making and advanced econometric modeling.

 Research Interests

  • Econometric Theory 

  • Causal Inference and Treatment Effect Estimation

  • Partial Identification and Bounds on Distributions

  • Income and Wealth Distribution Analysis

  • Missing Data Problems

  • Nonparametric and Semiparametric Methods

  • Time Series and Panel Data Econometrics

Education

🎓 PhD in Econometrics (Ongoing)
Monash University, Department of Econometrics and Business Statistics, Australia
Focus: Partial Identification, Distributional Analysis, Missing Data

🎓 BSc Honours in Statistics (First Class Honours)
University of Colombo, Sri Lanka (2019 – 2023)

  • Overall GPA: 3.87/4.00
  • Statistics GPA: 3.83
  • Mathematics GPA: 4.00, Computer Science GPA: 3.74
  • Recipient of Dean’s List for 3 consecutive years
  • Research Project: “A Statistical Evaluation of the Impact of COVID-19 on the Sri Lankan Economy Based on ASPI and GDP”

🎓 Certificate in Business Accounting
Chartered Institute of Management Accountants (CIMA)
(Dec 2017 – Oct 2018)

🎓 G.C.E. Advanced Level (Physical Science Stream)
Combined Mathematics (A), Chemistry (C), Physics (C)

🎓 G.C.E. Ordinary Level
Nine High Distinctions