Online Econometrics Tutors in Oxford
Post your job on Spires Econometrics Tutors in Oxford and get messages from qualified econometrics tutors. Compare bids, check profiles and start lessons online quickly for Undergraduate, Master’s and PhD modules.
Spires is a marketplace: you post a job, tutors bid, you choose who to hire.
Econometrics tuition for Oxford students
Sessions follow your syllabus and software — Stata, R, Python, SPSS or EViews — with step-by-step coaching on model setup, diagnostics and write-ups so your work is correct and well explained. Lessons run online for convenience and flexible scheduling.
University modules
- Microeconometrics, time series, panel data
- Causal inference: IV, DiD, RDD, matching
- Estimation and inference: OLS, GLM, MLE, GMM
- Financial econometrics & forecasting
Software support
- Stata do-files, R tidyverse, Python (pandas/statsmodels)
- EViews, MATLAB Econometrics Toolbox, SPSS basics
- Reproducible workflow (R Markdown, Quarto, Jupyter)
- Clear tables and graphs for reports
Coursework, exams & dissertations
- Problem sets and mock exams
- Topic scoping, data sourcing and cleaning
- Methods sections, interpretation and write-ups
- Presentation and viva practice
Why choose Spires for econometrics in Oxford
Direct access to experts
Post your brief and hear from tutors with proven econometrics track records across Oxford-relevant modules.
Transparent bids
You set the brief and budget; tutors respond with prices and availability. No agency mark-ups.
Free introductions
Book a free intro to check fit, software expertise and approach before starting paid lessons.
How it works
1) Post a job
Describe your module, software and deadline.
2) Compare bids
Review prices, profiles and reviews in one place.
3) Free intro
Meet the tutor to align aims and materials.
4) Start lessons
Share data, run models and write up results confidently.
5) Pay per hour
Only pay for time used; invoices are itemised.
6) Stay flexible
Adjust hours around term dates and exams.
Econometrics tutor profiles
Summaries based on live Spires Online Tutors profiles.
Gurpreet — M.Phil. Applied Econometrics
Econometrics • Statistics • University modules (UG/PG)
10+ years tutoring online; supports modules across 100+ universities, from introductions to advanced courses.
Shubham — Best-selling author (Econometrics & Statistics)
Econometrics • Statistics • Time series
Example-led teaching focused on the “why” and “how” behind methods; extensive experience across UK universities.
Neha — MSc Quantitative Economics (ISI Delhi)
Econometrics • Applied statistics • Quant methods
University teaching background; clear, structured explanations and strong command of Stata and EViews.
Abhay — PhD Research Scholar (IIT Kanpur)
Econometrics • Financial econometrics • Statistics
Teaches time series and quantitative finance; Stata and EViews with R support.
Amir — UCL MSc ML, LSE BSc Economics (First)
Econometrics • Data science • Python
Adapts lessons to mathematical or intuitive styles; supports coding for coursework and projects.
Kadir — PhD Economics, BSc LSE
Econometrics (Stata) • Micro/Macro • International
University lecturer with 15+ years’ experience; clear, step-by-step explanations for assessments and research.
Luqman — Quantitative methods & econometrics
Econometrics • Statistics • Data skills
Focus on applied analysis and practical coding for coursework and dissertations.
Evangelos — PhD-track economics
Microeconometrics • Behavioural finance • Methods
Bridges theory and empirics; supports coding in Stata and R for problem sets and projects.
Matthew — University of Oxford (MPhil Economics)
Undergraduate econometrics • Micro • Macro
Experienced with Oxford-style problem solving; teaches with a whiteboard and real examples.
Dr Mona — Applied econometrics & finance
Time series • Financial econometrics • STATA
Guides empirical projects end-to-end: data, modelling, interpretation and write-up.
Troels — Econometrics & statistics (R/Stata)
Regression • GLMs • Panel data
Applied approach with strong emphasis on interpretation and reproducible code.
Enrique — MSc Statistics (LSE)
Statistics • Econometrics • GLMs & time series
Higher-education specialist with a strengths-based approach; experienced supporting neurodivergent students.
