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Econometrics Tutors London

Hire Online Econometrics Tutors for Undergraduate, Master’s and PhD modules. Post a job on Spires to hear from vetted specialists in Stata, R, EViews and Python

Econometrics Tutors London
Online Econometrics Tutors — Book Experts for Stata, R, EViews & Python
Econometrics (UG • Master’s • PhD)

Online Econometrics Tutors

Post your brief on Spires Online Econometrics Tutors and invite proven tutors for regression, panel data, time series, causal inference and coding in Stata, R, EViews or 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 every day — GLMs, IV, DiD, panel estimators and forecasting — aligned to common UK and international syllabuses.

Simple hiring flow

Post your task, receive replies, compare rates and availability, then book a free intro. Pay only for the hours you need.

Software covered

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

Topics and tools supported

Sessions are tailored 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.

Neha — STATA & EViews econometrics tutor

Neha — Structured sessions, clear output

STATA & EViews · UG, Master’s & PhD

Teaches a repeatable workflow for estimation, checks and presentation, with tidy scripts you can reuse in assessments.

STATAEViewsModel selection
Kadir — Microeconometrics & programme evaluation

Kadir — Causal stories that stand up

IV · DiD · Matching · Clear tables

Links identification to your research question and produces publish-style tables with sensible robustness checks.

StataRCausal inference
Abhay — Time series & volatility (EViews / Stata)

Abhay — Forecasting with confidence

ARIMA / VAR / GARCH · Finance

Builds forecast pipelines and interprets volatility sensibly, with concise write-ups for coursework and projects.

EViewsStataGARCH
Shubham — Econometrics & statistics

Shubham — Methods turned into steps

Worked examples · Exam craft

Shows the shortest path from theory to a marked answer, with checklists that reduce avoidable errors.

RGLMsTime series
Gurpreet — Diagnostics & model checking (Stata)

Gurpreet — Diagnostics done properly

Assumptions · Remedial steps · Reporting

Explains violations and fixes with clarity, producing readable tables and short, decisive commentary.

StataPanel dataReporting
Amir — Econometrics with Python / R

Amir — Reproducible workflows

Python, R & Stata · Projects & theses

Creates compact notebooks for cleaning, modelling and checks, so you can defend choices in a viva or exam.

PythonRVersion control
Matthew — Undergraduate econometrics

Matthew — Core modules, explained clearly

UG econometrics · Stata & R

Practises common question styles and shows how to turn output into concise, high-mark answers.

UG modulesStataR
Troels — Methods & code clinics (R / Python / Matlab)

Troels — Faster empirical work

R, Python & Matlab · Problem sets

Pairs short refreshers with live coding so you finish tasks quicker and avoid common mistakes.

RPythonMatlab
Luqman — Lecturer & econometrics tutor

Luqman — Seminar style, steady progress

Short tasks · Immediate feedback

Uses quick checks to find gaps and fixes them with focused mini-lessons so you build marks quickly.

EconometricsStataR
Evangelos — Quantitative methods & finance

Evangelos — From theory to evidence

Corporate finance · Micro · Empirics

Frames hypotheses, runs suitable tests and helps you write a short, credible discussion section.

Quant methodsFinanceR
Dr Mona — Econometrics & finance

Dr Mona — Academic polish, practical results

Lecturer experience · Methods & finance

Strengthens methods chapters and presentation, aligning to common marking rubrics for higher clarity.

EconometricsFinanceWrite-ups
Enrique — Statistics for econometrics

Enrique — Statistics that serve the story

Inference · GLMs · Time series

Connects statistical thinking to your economic question so tables and graphs make sense at first glance.

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 — just pay 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 matches how you learn.

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

Dr Leo Evans
Dr 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, including making it to the Forbes 30 under 30 in 2019. As a former lecturer at the Imperial College Business School, Leo has a rich history of imparting knowledge in various financial domains.