Online Econometrics Tutors in Cambridge
Post your job on Spires Online Econometrics Tutors in Cambridge and get messages from qualified econometrics tutors who teach Cambridge students. Compare bids, check profiles, and start lessons online fast. Support covers regression, panel data, time series, causal inference and dissertation econometrics.
Spires is a marketplace. You post a job; tutors bid; you choose who to hire.
Econometrics tutoring for Cambridge 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 across terms.
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
- Viva and presentation practice
Econometrics tutors: how Spires works
1) Post your job
- Describe your module, level and deadline.
- List software (Stata, R, Python, EViews, SPSS).
- Attach datasets, rubric or brief if helpful.
2) Tutors bid & you choose
- Qualified econometrics tutors message you with bids.
- Compare profiles, hours taught and rating.
- Chat, agree an hourly rate, book a session.
Lessons and payments are handled on Spires.
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, including help with lectures, problem sets, exams and Stata.
Shubham — Author of 5 books (Econometrics & Statistics)
Econometrics • Statistics • Time series
Example-led teaching focused on the “why” and “how” behind methods. Experience across 90+ universities; supports EC2C3/EC2C4 and intermediate modules.
Neha — MSc Quantitative Economics (ISI Delhi)
Econometrics • Applied Statistics • Quant methods
10+ years’ university teaching and 4+ years online. Strong command of STATA and EViews; clear, structured explanations for assessments.
Abhay — PhD Research Scholar (IIT Kanpur)
Econometrics • Financial Econometrics • Statistics
Teaches econometrics, time series and quantitative finance. Stata and EViews, with R support; experience across UK, US, EU and Asia.
Amir — UCL MSc ML, LSE BSc Economics (First)
Econometrics • Data science • Python
Adapts lessons to mathematical or intuitive styles. Supports econometrics and coding for coursework, projects and exam preparation.
Kadir — PhD Economics (UT Austin), BSc LSE
Econometrics (Stata) • Micro/Macro • International
University lecturer with 15+ years’ experience; translates complex ideas into accessible steps for assessments and research.
Luqman — PhD Economics, UK Lecturer
Econometrics • Statistics • Data skills
Assistant Professor with 10+ years’ teaching; online 1-to-1 and small-group support using interactive tools.
Evangelos — MSc (Economics / Mathematical Modelling in Finance)
Quantitative methods • Microeconomics • Corporate finance
Five years’ professional tutoring across international universities; focus on finance theory, microeconomics and quantitative skills.
Matthew — MPhil Economics (Oxford)
Undergraduate econometrics • Micro/Macro • R & Stata
Teaches UG econometrics and core economics. Uses real examples to build intuition and exam technique; comfortable in R and Stata.
Troels — PPE (Oxford), coding support
Micro/Macro • Econometrics • R/Python/Matlab
Nearly a decade of tutoring from A-Level to university. Will work through R/Python/Matlab for empirical research and thesis projects.
Dr Mona — PhD Economics & Finance (Brunel)
Econometrics • Quantitative methods • Corporate/International finance
Senior Lecturer with UK HE experience; teaches econometrics, statistics and a wide range of finance topics at UG/PG levels.
Enrique — MSc Statistics (LSE)
Statistics • Econometrics • GLMs & Time series
Higher-education specialist with a background in Economics; experienced supporting neurodivergent students with a strengths-based approach.
Frequently asked questions
How do I find an econometrics tutor for Cambridge?
Post your brief on Spires with your module, software and deadline. Tutors will send bids and messages so you can compare profiles and select who to hire.
Can a tutor support Cambridge Tripos econometrics?
Yes — tutors cover undergraduate and postgraduate econometrics, including probability, inference, regression, microeconometrics and time series.
Which software do tutors use?
Most sessions use Stata, R or Python. Tutors can also help with EViews, MATLAB and SPSS, and will explain diagnostics and reporting conventions.
How are lessons delivered?
Lessons are online with shared screens, whiteboards and file exchange, so you can work through code, data and write-ups efficiently.
