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.
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.
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

Gurpreet — M.Phil., Applied Econometrics
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.

Shubham — Author of 5 books (Econometrics & Statistics)
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.

Neha — MSc Quantitative Economics (ISI Delhi)
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.

Abhay — PhD Research Scholar (IIT Kanpur)
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.

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

Kadir — PhD Economics (UT Austin), BSc LSE
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.

Luqman — PhD Economics, UK Lecturer
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.

Evangelos — MSc (Economics / Mathematical Modelling in Finance)
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.

Matthew — MPhil Economics (Oxford)
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.

Troels — PPE (Oxford), coding support
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.

Dr Mona — PhD Economics & Finance (Brunel)
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.

Enrique — MSc Statistics (LSE)
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.
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
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How do I contact an econometrics tutor?
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Start with online econometrics tutors today
Post your job, shortlist tutors and arrange your first session this week.
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