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Econometrics Tutoring | Econometrics Tutors London | Econometrics Tutors Online

Find top econometrics tutors in London for uni, MSc & PhD support. R, Stata, Python, SPSS. From £30/hour. Get bids from tutors in moments.

Econometrics Tutoring | Econometrics Tutors London | Econometrics Tutors Online
Econometrics tutors

Post your job on Spires and get messages from qualified Econometrics tutors. Compare bids, check profiles, and start online lessons fast. Ideal for London students who need help with regression, panel data, time series, causal inference and dissertation econometrics.

Undergrad · MSc · PhD Stata · R · Python · EViews Coursework · Exams · Dissertations


Spires is a marketplace. You post a job; tutors bid; you choose who to hire.


Econometrics Tutoring in London

If you’re studying in London at LSE, UCL, King’s, Imperial, Queen Mary, City or SOAS, focused Econometrics tutoring can make modules and projects clearer and faster. Sessions cover the methods you see on your syllabus and the software you actually use — Stata, R, Python, SPSS or EViews. You’ll get step-by-step coaching on model setup, diagnostics and write-ups so your work is correct and explained well. Most lessons run online for speed and flexibility; in-person may be possible in Greater London if the tutor agrees.

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.

Create your post

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

These summaries are taken from live Spires Online Tutors profiles

Econometrics tutor — Gurpreet

Gurpreet — M.Phil., Applied Econometrics

★ 5.0 Star Econometrics Tutor · 5,318 hours taught · 5,051 classes

Econometrics • Statistics • University modules (UG/PG)

10+ years tutoring online with a focus on Econometrics and Statistics for Economics and Business. Has supported modules across 100+ universities, including LSE (EC2C3/EC2C4), Warwick (EC226), Bristol, KCL and more. Helps with lectures, problem sets and exam prep, plus Stata support. Clear explanations for methods, diagnostics and interpretation.

StataEconometricsStatistics
Econometrics tutor — Shubham

Shubham — Author of 5 books (Econometrics & Statistics)

★ 5.0 Star Econometrics Tutor · 4,345 hours taught · 5,250 classes

Econometrics • Statistics • Time series

Specialises in Econometrics and Statistics and has taught students from 90+ universities. Known for patient, example-led teaching that focuses on the “why” and “how” behind methods. Supports LSE, Warwick, KCL and more across modules like EC2C3/EC2C4 and Intermediate Econometrics. Offers preparation calls and flexible session planning.

StataRPython
Econometrics tutor — Neha

Neha — MSc Quantitative Economics (ISI Delhi)

★ 5.0 Star Econometrics Tutor · 11,538 hours taught · 13,645 classes

Econometrics • Applied Statistics • Quant methods

10+ years teaching university students plus 4 years online. Supports Micro/Macro, Finance, Econometrics and Applied Statistics with strong command of STATA and EViews. Helps undergrad and postgrad learners build skills, understand outputs and prepare for assessments with clear, structured explanations.

STATAEViewsEconometrics
Econometrics tutor — Abhay

Abhay — PhD Research Scholar (IIT Kanpur)

★ 5.0 Star Econometrics Tutor · 3,455 hours taught · 2,842 classes

Econometrics • Financial Econometrics • Statistics

Teaches across Econometrics, Micro/Macro, Time Series and Quantitative Finance. Past roles include Assistant Professor and Teaching Assistant in India; current teaching includes Monetary Economics and Statistical Methods. Works in Stata and EViews and supports R learning. Broad university experience across UK, US, EU and Asia.

StataEViewsTime series
Econometrics tutor — Amir

Amir — UCL MSc ML, LSE BSc Economics (First)

★ 5.0 Star Econometrics Tutor · 699 hours taught · 624 classes

Econometrics • Data Science • Python

Tutors university Econometrics, Economics, Statistics and programming. Adapts style to each learner—mathematical derivations, diagrams or intuitive, non-math explanations as needed. Interactive lessons designed to build a complete understanding of the material. Experience with LSE, UCL, Exeter, Bristol, Manchester and others.

PythonEconometricsStatistics
Econometrics tutor — Kadir

Kadir — PhD Economics (UT Austin), BSc LSE

★ 5.0 Star Econometrics Tutor · 722 hours taught · 598 classes

Econometrics (Stata) • Micro/Macro • International

University lecturer with 15+ years’ experience teaching across US and Turkey, plus extensive private tutoring for UK and US students. Teaches micro, macro, econometrics (Stata), labour, money and banking and thesis writing. Clear focus on translating complex ideas into accessible steps for assessments and research.

StataEconometricsThesis support
Econometrics tutor — Luqman

Luqman — PhD Economics, UK Lecturer

★ 5.0 Star Econometrics Tutor · 498 hours taught · 534 classes

Econometrics • Statistics • Data skills

UK-based lecturer (Assistant Professor) with 10+ years’ university teaching and Fellowship of the Higher Education Academy. Teaches core Economics plus quantitative/applied courses at UG/PG levels. Online teaching experience with small groups and 1-to-1s using whiteboard tools to keep sessions interactive and focused.

StataREconometrics
Quant tutor — Evangelos

Evangelos — MSc (Economics / Mathematical Modelling in Finance)

★ 5.0 Star Econometrics Tutor · 181 hours taught · 127 classes

Quantitative methods • Microeconomics • Corporate finance

Five years’ professional tutoring in Economics and Finance across Greek and international universities, plus short-term lecturing experience. Strong mathematics background and analytical approach. Recent focus on corporate finance, financial theory and microeconomics; supports students in understanding concepts and meeting course goals.

Quant methodsFinanceMicroeconomics
Econometrics tutor — Matthew

Matthew — MPhil Economics (Oxford)

★ 5.0 Star Econometrics Tutor · 313 hours taught · 289 classes

Undergraduate econometrics • Micro/Macro • R & Stata

Teaches all areas of UG Econometrics, Macroeconomics and Microeconomics, plus Masters-level micro and statistics for economists. Uses a whiteboard and real examples to build intuition and exam technique. Comfortable with R and Stata for coursework and projects.

RStataEconometrics
Economics/Econometrics tutor — Troels

Troels — PPE (Oxford), coding support

★ 5.0 Star Econometrics Tutor · 523 hours taught · 379 classes

Micro/Macro • Econometrics • R/Python/Matlab

Nearly a decade of tutoring from A-levels to university and Oxbridge admissions. Focus on goals first—exam success or deeper understanding—then build structure and practice. Enjoys scientific programming and will work through R/Python/Matlab code for empirical research and thesis projects.

RPythonMatlab
Econometrics/Finance tutor — Dr Mona

Dr Mona — PhD Economics & Finance (Brunel)

★ 5.0 Star Econometrics Tutor · 524 hours taught · 310 classes

Econometrics • Quantitative Methods • Corporate/International Finance

Senior Lecturer with UK HE experience (Hertfordshire, Bedfordshire, LBIC). Oversees UG/PG courses and supervises PhD candidates. Teaches micro/macro, econometrics, statistics and a wide range of finance topics. Blends academic theory with practical insight to help students progress with confidence.

EconometricsStatisticsFinance
Statistics/Econometrics tutor — Enrique

Enrique — MSc Statistics (LSE)

5.0 Star Econometrics Tutor · 139 hours taught · 131 classes

Statistics • Econometrics • GLMs & Time series

Lecturer and higher-education specialist with an MSc in Statistics from LSE and a background in Economics. 10+ years’ 1-to-1 tuition plus university teaching in Econometrics, Statistics and Quantitative Methods. Experienced in supporting neurodivergent students with a flexible, strengths-based approach.

RegressionGLMTime series


Pricing & packages

From £30/hour. Final rates vary by tutor experience, topic complexity and timing. When you post your job, tutors will bid and you’ll see their quotes before booking.

  • Pay-as-you-go
  • 5-hour bundle
  • 10-hour bundle

All bookings and payments are processed securely on Spires.

What’s included

  • 1-to-1 lessons with screen-share and live coding
  • Homework feedback and Q&A
  • Session notes and code files
  • Flexible scheduling


Subjects and methods we teach

Core theory

  • OLS, GLM, MLE, GMM
  • Inference & diagnostics
  • Endogeneity and causality

Models

  • Panel FE/RE, IV, DiD
  • RDD, matching
  • ARIMA, VAR, GARCH

Applications

  • Finance and macro
  • Policy and labour
  • Health and development


Econometrics tutors for London universities

LSE · UCL · King’s · Imperial · Queen Mary · City · SOAS (econometrics strands) - Our tutors work with econometrics students from all universities in the UK and around the globe.


Resources for students

Study tips

Plan sessions weekly. Bring code and outputs to each lesson. Ask about assumptions, not just coefficients. Save reproducible scripts and annotate decisions.


Why choose EconometricsTutors.co.uk

Marketplace transparency

You see multiple bids from tutors before you decide who you would like to work with.

London focus

Experience with common London modules and assessments.

Software fluency

Most profiles cover Stata, R, Python, EViews and SPSS.


Econometrics Tutors London — FAQs

Is this a tutoring agency?
We’re an independent site and Spires affiliate. Spires is a marketplace: you post a job; tutors bid; you choose.
How do I contact an Econometrics tutor?
Click “Post a Tutoring Job”, describe what you need, and tutors will message you inside Spires. You can chat and book a trial.
Do tutors cover Stata, R, Python, EViews or SPSS?
Yes. Add your software in the job post so the right tutors reply.
What do lessons cost?
You set a budget. Tutors bid based on your brief and experience level. Compare bids and agree a rate before booking.


Get started with Econometrics tutors

Post your job now. Compare bids from experienced tutors. Start lessons this week.

Affiliate disclosure: we may earn a referral fee if you use our Spires link. This doesn’t affect your price.

Leo Evans
Leo Evans

Dr Leo Evans is a distinguished EdTech Founder and Group CEO, currently steering the helm at Spires Online Tutors & The Profs, both renowned educational platforms. With a profound background in financial economics, Leo has transitioned from a successful tenure as a Vice President at J.P. Morgan to becoming a pivotal figure in the e-learning industry. His academic journey, crowned with a PhD from the Imperial College Business School, laid a solid foundation for his ventures in the educational sector. Leo's passion for education is mirrored in his role as a co-founder at Spires Online Tutoring, where he has been instrumental in leveraging machine learning algorithms to facilitate seamless tutor-student interactions across the globe. His innovative spirit also led to the creation of BitPaper, a collaborative online whiteboard that has revolutionised online teaching and learning. Leo's commitment to excellence is reflected in the numerous accolades and recognitions his initiatives have garnered over the years. As a former lecturer at the Imperial College Business School, Leo has a rich history of imparting knowledge in various financial domains.