Econometrics tuition · Online, UK-wide and worldwide
One-to-one econometrics tuition online, from an econometrics tutor who lectured the subject at two universities, for undergraduate, MSc and PhD students in the UK and abroad. Bring the regression you cannot read, the problem set that is due, or the method your dissertation needs. From £100 an hour; the first 30-minute consultation is free.
Dr Nicky Grant · Cambridge PhD in economics · former university lecturer in econometrics · ORCID 0009-0008-8979-4623 · credentials
Start here
We spend the free 30 minutes on your material, not on a pitch: find out where you are, agree what to do, and do some of it.
Useful things to put in the form: module title, the topic list, your deadline, the software you use, and what is stuck. A screenshot of the output is better than a description of it.
What I cover
The topics follow the econometrics modules UK universities teach, and the same material students meet elsewhere under Wooldridge, Stock and Watson or Greene. Each row names a page on this site to start with.
| Level | Typical modules and topics | Free page to start with |
|---|---|---|
| First year | Statistics for economists: probability and distributions, sampling and the central limit theorem, confidence intervals, hypothesis tests, simple regression and the OLS line. | What is OLS? · OLS by hand (lesson 9) · hypothesis testing |
| Second year | Introductory econometrics: multiple regression, reading output, dummies and logs, heteroskedasticity and robust standard errors, multicollinearity, omitted variables, instrumental variables, a first time-series module. | Reading regression output · diagnostic testing · time series guide |
| Third year and MSc | Time series (ARMA, unit roots, cointegration, VAR), panel data (fixed and random effects, difference-in-differences), probit and logit, maximum likelihood, GMM, financial econometrics and GARCH. | Time series module notes · cross-section and panel notes · GMM |
| PhD and research | Identification, weak-instrument-robust inference, asymptotic theory, simulation evidence, and feedback on the methods chapter of a thesis. | PhD econometrics tutor · published research |
| Dissertations | Methodology and understanding: choosing an empirical method, its assumptions, identification and inference, reading your output, and feedback on your own write-up. The analysis and the writing remain your work. | University and postgraduate tuition |
| Software | Stata, R, EViews, Python (pandas and statsmodels), MATLAB and Excel. The point is always what the output means, not just getting the code to run. | Lecture notes, labs and videos |
The teaching style
A common problem in econometrics teaching is going straight to matrices and proofs before the student can see what the method does. Every session starts with the idea in words and a picture, then the numbers, then the notation. Here is the style in miniature.
Five workers: years of education after 16 (x = 0, 1, 2, 3, 4) and hourly pay in pounds (y = 10, 12, 13, 16, 19). What is the OLS line?
Then we check it the way an examiner would: the residuals (0.4, 0.2, -1.0, -0.2, 0.6) sum to zero. The full version, with the picture that shows where the formula comes from, is lesson 9 of the free course.
From students
“Nicky is an excellent econometrics tutor. He explains complex concepts clearly and makes them much easier to understand.”
“I was completely lost in my economics class, and then I started working Nicky and he totally saved me. He was excellent at explaining the material and extremely accommodating to meet with me many times despite us being in different time zones! Highly recommend working with Nicky!”
“Nicky is a very good and thorough teacher. He has excellent knowledge of econometrics and takes the time to work through your questions. Highly recommended!”
“Really great tutor! Encouraging, knowledgeable, friendly”
“Very good lesson, Nicky is very helpful.”
“Very helpful and clear.”
“I gather it was very useful, thank you!”
“Fantastic!”
Why choose Dr Grant
Free resources
University-level explainers and lessons, written to go alongside tuition and to preview the teaching style. Click any topic to read.
Credential match
Econometrics tuition often needs more than worked examples: it needs the theory, assumptions, interpretation and notation to fit together, from someone who has taught and examined the subject.
A free 30-minute consultation, with no obligation. From £100 an hour, with discounts for packages of sessions; the rate is confirmed at the consultation, before any paid session.
Dr Nicky Grant
ORCID 0009-0008-8979-4623
Common questions
Sessions are one-to-one and online, from £100 an hour for undergraduate, MSc and PhD econometrics, with discounts for packages of sessions. The rate is confirmed at the free 30-minute consultation, before any paid session, and there is no minimum number of sessions.
Yes. Sessions are online, by video call with a shared whiteboard, so London, elsewhere in the UK and abroad all work the same way; for another time zone, say where you are and we find a slot. In-person sessions in the Manchester area may be possible, so ask.
Yes. Sessions can include working through code together, running regressions in R, estimating models in Stata, or working through time series in EViews or Python. The focus is always on understanding what the software is doing and why, not just on getting the code to run.
Yes, with the methodology and your understanding of it: choosing an empirical method, understanding its assumptions, identification and inference, interpreting your software output, and feedback on your own write-up. The data work, the analysis and the writing remain your own throughout.
Econometrics is statistics applied to economic questions, where the data usually come from the world rather than from an experiment. That brings its own problems, omitted variables and endogeneity above all, and an econometrics tutor teaches those alongside the statistics. For statistics modules on their own, see statistics tuition.
Yes. Intensive exam preparation is a common request. Sessions can focus on past paper questions, identifying and plugging specific gaps, and exam technique. Get in touch as soon as possible so there is time to cover what you need in the days you have left.
Choosing a tutor
Free course
Introduction to Econometrics: a free course, lesson by lesson
From first-year statistics to regression, causes and a first look at time series. Real data, worked examples and marked questions with every wrong answer explained. Lesson 9, the OLS line by hand, is up first.
Free video lectures
Free worked videos covering regression, inference, instrumental variables, heteroskedasticity, autocorrelation and time series. A good way to preview the teaching style before getting in touch.
See all teaching videos and lecture notes.
30 minutes to understand exactly where you are and what you need. No obligation. Email reply within one business day.
Book a free consultation