1. Tutors and Resources
  2. Econometrics Tutoring
  3. Econometrics Tutoring | Econometrics Tutors London | Econometrics Tutors Online

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
Hire online econometrics tutors

Hire Online Econometrics Tutors Today

Post a brief on Spires and get replies from vetted online econometrics tutors. Compare quotes, review profiles and start lessons quickly for regression, panel data, time series, causal methods and thesis econometrics.

Undergraduate · MSc · PhD Stata · R · Python · EViews · SPSS Exams · Coursework · Dissertations


Spires is a tutoring marketplace: you outline what you need, tutors bid, and you choose who to hire.


Online econometrics tutoring for real results

Sessions are built around your module, your deadlines and your software. Tutors show you how to specify models correctly, check assumptions, interpret results and present findings clearly. Support is suitable for UK and international universities, including popular courses at LSE, UCL, Warwick, Bristol, KCL and many others.

Topics covered

  • OLS, GLM, MLE and GMM
  • Microeconometrics and panel data
  • Time series, ARIMA and forecasting
  • Causal tools: IV, DiD, RDD and matching

Software & workflow

  • Stata do-files, R (tidyverse) and Python (pandas, statsmodels)
  • EViews, MATLAB toolboxes and SPSS basics
  • Reproducible set-ups: R Markdown, Quarto, Jupyter
  • Tables/figures prepared for reports

Assessment support

  • Problem sets and past-paper drills
  • Method sections and interpretation
  • Data cleaning and documentation
  • Presentation and viva practice


How hiring econometrics tutors on Spires works

1) Tell tutors what you need

  • Describe your course, level and goals.
  • Mention the software you use (Stata, R, Python, EViews, SPSS).
  • Attach your brief, rubric or dataset if helpful.

Create your job post

2) Compare bids and book

  • Qualified tutors message you with proposals and hourly rates.
  • Review profiles, hours taught and ratings.
  • Chat, agree terms, and schedule your first lesson.

All lessons and payments are handled within Spires.


Econometrics tutor profiles

Summaries below are from active tutors on Spires Online Tutors

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)

Long-standing online specialist in econometrics and statistics with experience across 100+ universities. Clear, stepwise explanations for lectures, problem sets and exams, with strong Stata support for common UK modules.

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

Explains the theory and the intuition behind methods with patient, example-led teaching. Has coached students from 90+ universities and frequently supports intermediate and advanced econometrics courses.

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

Brings 10+ years of university teaching and 4 years online to demystify econometrics, finance and applied statistics. Known for well-structured walkthroughs using STATA and EViews for labs and assessments.

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

Former Assistant Professor and TA with a focus on time series and econometrics for economics and finance. Guides students through methods, interpretation and software such as Stata and EViews.

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

Blends rigorous theory with practical coding examples. Comfortable teaching econometrics, statistics and programming to students from LSE, UCL, Bristol, Exeter, Manchester and beyond.

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 more than 15 years’ teaching experience. Makes complex models accessible and supports research design, applied work and thesis writing with Stata.

StataEconometricsThesis support
Econometrics tutor — Luqman

Luqman — PhD Economics, UK Lecturer

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

Econometrics • Statistics • Data skills

Assistant Professor and Fellow of the Higher Education Academy. Teaches quantitative economics at UG/PG level and helps students translate theory into robust empirical work.

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 and short-term lecturing. Strong maths base with a practical style for corporate finance, financial theory and micro. Good fit for analytically minded students.

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

Focuses on intuition and exam craft for undergraduate econometrics, micro and macro. Uses R and Stata across examples to join the maths to the practical interpretation.

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’s experience from A-Level up to university teaching and Oxbridge admissions. Highly structured sessions with code-backed examples in R, Python and Matlab.

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 PhD supervision experience. Bridges theory and application across econometrics, statistics and a wide range of finance modules.

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 HE specialist with over a decade of 1-to-1 tutoring. Strong grounding in econometrics and statistics with clear, methodical support for reports and exams.

RegressionGLMTime series


Who benefits from online econometrics tutoring?

Economics students

From introductory econometrics to advanced microeconometrics and time series, tutors align sessions to your reading list and assessment format.

Business & finance students

Corporate finance, financial econometrics and forecasting explained with real datasets and tidy reporting templates.

Researchers

Method selection, robustness checks and write-ups for dissertations and theses, with reproducible code and clear notes.


Why pick Spires for econometrics tutoring

Choice and control

You receive several bids and pick the tutor who fits your brief and budget.

Subject depth

A strong pool of tutors covering UG, MSc and PhD econometrics across leading universities.

Software fluency

Most profiles work comfortably in Stata, R, Python, EViews and SPSS, so you stay in your own toolset.


Online econometrics tutors — FAQs

Is this a tutoring agency?
We’re an independent site that recommends Spires. Spires is a marketplace: you post a job, tutors bid, and you select who to hire.
How do I contact an econometrics tutor?
Click “Post a Tutoring Job”, outline your needs and upload any brief. Tutors then message you inside Spires to discuss next steps.
Do tutors handle Stata, R, Python, EViews or SPSS?
Yes. Include your software in the job post and relevant tutors will reply.
What should I expect to pay?
You set expectations and budget in the post. Tutors propose rates; compare experience and reviews, then agree a price before booking.
Will a tutor complete my assignment?
No. Tutors provide ethical academic support—explaining concepts, reviewing approaches and helping you interpret outputs—so you submit your own work.


Start with online econometrics tutors today

Post your job, shortlist tutors and arrange your first session this week.

Affiliate disclosure: we may earn a referral fee if you use our Spires link. Your price is unchanged.

Richard Evans
Richard Evans

Richard Evans is the dynamic founder of The Profs, NatWest’s Great British Young Entrepreneur of The Year and Founder of The Profs - the multi-award-winning EdTech company (Education Investor’s EdTech Company of the Year 2024, Best Tutoring Company, 2017. The Telegraphs' Innovative SME Exporter of The Year, 2018). Sensing a gap in the booming tuition market, and thousands of distressed and disenchanted university students, The Profs works with only the most distinguished educators to deliver the highest-calibre tutorials, mentoring and course creation. The Profs has now branched out into EdTech (BitPaper), Global Online Tuition (Spires) and Education Consultancy (The Profs Consultancy).Currently, Richard is focusing his efforts on 'levelling-up' the UK's admissions system: providing additional educational mentoring programmes to underprivileged students to help them secure spots at the UK's very best universities, without the need for contextual offers, or leaving these students at higher risk of drop out.