Bounds on Inequality with Incomplete Data submitted
With Tatiana Komarova and James Banks.
View draft
Tom Glinnan
Assistant Professor (Education)
Department of Economics, London School of Economics
I'm an econometrician, meaning that I help to develop methods that economists use to analyse data. I'm interested in pretty much every subfield of econometric theory, and have worked in partial / weak identification, meta-analysis and design-based inference.
Much of my current work involves teaching econometrics at LSE from undergrad to PhD level, and advising applied researchers. I'm particularly keen to help students who come from disadvantaged backgrounds, as well as anyone who has ever found metrics to be too boring or technical.
The best way to get in contact with me is via email. You can see my email address, as well as my (teaching-based) CV below.
Teaching
In 2026-2027, I'm teaching on Probability and Statistical Inference (EC400), the Pre-sessional Course for EME (EC451), Econometric Analysis (EC484) and Econometrics II (EC2C4) at LSE. I'm also leading seminars for EC484, and for Econometrics for MRes students (EC443).
From time to time, I may place some additional teaching materials here, so that they can be publicly available.
Selected Research
Quasi-Bayesian Hierarchical Models
With Desmond Fairall.
View draftDesign-Based Inference for Time-Series GMM
View draftEstimating Causal Effects Using Misspecified Structural Models
Optimal Estimation and Inference for Weakly-Identified Production Functions
With Facundo Argañaraz and Stefany Moreno-Burbano.