Econometrics Tutors London

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Online Econometrics Tutors — Stata, R, EViews & Python Help
Econometrics (Undergraduate • Master’s • PhD)

Online Econometrics Tutors

Post your brief on Spires Online Econometrics Tutors to hear from tutors who specialise in regression, panel data, time series, causal methods and coding in Stata, R, EViews and Python. Compare replies, message your shortlist and start 1-to-1 lessons online.

Coursework & exams Dissertations & replication Flexible scheduling Secure payments

Affiliate disclosure: We may earn a fee if you book via our Spires links. Your price is unchanged.

Specialist econometrics help

Tutors teach econometrics daily — GLMs, IV, DiD, panel estimators and forecasting — aligned to UK and international syllabuses.

Frictionless hiring

Post a brief, compare rates and availability, book a free intro, then pay only for the hours you use.

Software covered

Stata, R, EViews and Python (pandas, statsmodels). Add versions and deadlines to your brief for faster matches.

Topics and tools supported

Sessions are adapted to your module and marking scheme.

OLS / GLS Logit / Probit Panel (FE / RE) Difference-in-differences Instrumental variables Causal inference Time series (ARIMA / VAR / GARCH) Forecasting Diagnostics LaTeX reporting Stata R EViews Python

Featured econometrics tutor profiles

Invite any of these tutors after posting your job on Spires.

Gurpreet — Stata-led econometrics support

Gurpreet — Stata-first workflow

Diagnostics · Robust SEs · Clean tables

Builds a repeatable process for estimation and checks, with neat tables that make sense to markers.

StataPanel dataReporting
Shubham — Practical econometrics & statistics

Shubham — Methods made usable

Worked examples · Exam craft

Turns theory into a short checklist you can apply under timed conditions with fewer mistakes.

RGLMsTime series
Neha — Structured econometrics for STATA & EViews

Neha — Structured sessions, tidy scripts

STATA & EViews · UG to PhD

Breaks topics into short lessons and provides reusable code blocks for quick revision.

STATAEViewsModel selection
Abhay — Time series & finance

Abhay — Time series done right

ARIMA · VAR · GARCH · Forecasting

Guides you from specification to interpretation, then helps draft a sharp results section.

EViewsStataVolatility
Amir — Econometrics with Python and R

Amir — Reproducible pipelines

Python · R · Stata · Projects & theses

Builds compact notebooks for cleaning, modelling, checks and plots you can defend in a viva.

PythonRVersion control
Kadir — Causal analysis & programme evaluation

Kadir — Causal stories that hold up

IV · DiD · Matching · Sensitivity

Aligns identification with your question and formats outputs for clear, credible claims.

StataRCausal inference
Luqman — Lecturer and econometrics tutor

Luqman — Seminar style, steady gains

Short tasks · Fast feedback

Uses quick checks to find gaps and closes them with focused mini-lessons.

EconometricsStataR
Evangelos — Quantitative methods for economics and finance

Evangelos — From theory to evidence

Finance · Micro · Empirics

Frames hypotheses, applies suitable tests and helps you write a concise discussion.

Quant methodsFinanceR
Matthew — Undergraduate econometrics

Matthew — Confidence with core modules

UG econometrics · Stata & R

Practises the common question types and shows how to turn output into full-mark answers.

UG modulesStataR
Troels — Methods and code clinics

Troels — Faster empirical work

R · Python · Matlab · Problem sets

Blends short refreshers with live coding so you finish tasks quicker and avoid common errors.

RPythonMatlab
Dr Mona — Econometrics and finance

Dr Mona — Academic polish, practical outcomes

Lecturer experience · Methods & finance

Strengthens specification and presentation, aligned to the usual marking rubrics.

EconometricsFinanceWrite-ups
Enrique — Statistics for economists

Enrique — Statistics that serve the argument

Inference · GLMs · Time series

Links statistical thinking to your economic claim so tables and graphs read clearly.

GLMTime seriesPresentation

Profiles are examples and may update. Post your job to see current availability.

How to hire an online econometrics tutor

  1. Post your brief on Spires with your module, software and deadlines.
  2. Review replies, compare rates and message your shortlist.
  3. Book a free intro and start lessons online with shared whiteboards and file-share.

Pricing and billing

Rates are set by tutors and shown when they reply. You choose who to book. There are no long contracts — pay only for the lessons you need.

FAQs

What can an econometrics tutor help with?

Typical areas include OLS/GLS, discrete choice, panel data, time series, causal designs and diagnostics, plus support for Stata, R, EViews and Python.

Do you support Undergraduate, Master’s and PhD work?

Yes. Tutors adapt to your level, from first econometrics modules to thesis methods, replication and code reviews.

Can I book short, targeted sessions?

Many tutors offer focused sessions aimed at likely question styles and marking criteria.

Which software versions are supported?

Commonly Stata 14–18, R (tidyverse, stats), EViews 12+ and Python (pandas, statsmodels). Add your version in the brief.

How do I choose a tutor?

Check recent experience with your topic, software fit, timing around your deadlines and a teaching style that suits you.

Spires Online Tutors manages scheduling and payments; you work directly with your chosen tutor.