Dr Nicky Grant offers specialist econometrics support for PhD, MRes and advanced MSc students. His own research background covers identification-robust inference, GMM, weak instruments and singular variance, he can engage with material at any depth including proofs, estimator construction, simulation design and dissertation chapters. Cambridge PhD, former lecturer at Manchester and St Andrews. Free initial consultation.

Advanced econometrics

PhD econometrics
tuition

Specialist support for PhD, MRes and advanced MSc students working with econometric theory, identification, asymptotics, moment conditions, instrumental variables, time series, panel data or empirical strategy.

PhDMResGMMIVTime seriesPanel dataAsymptotics

How sessions work

Focused
expert support

Research-level depth
Sessions can work through papers, proofs, identification arguments, estimator construction, simulation design and dissertation or thesis chapters.
Clear mathematical exposition
The aim is to make difficult technical material usable: assumptions, intuition, theorem logic, empirical implementation and writing.
Econometric theory background
Research experience includes weak instruments, singular variance, moment inequalities, GMM and tax-price elasticity estimation.
Output-focused support
Support can be structured around a chapter, seminar presentation, problem set, replication exercise, viva preparation or journal response.

Questions

Common
questions

Yes. Sessions can focus on structure, identification, interpretation, proof strategy, exposition and empirical implementation. The work remains your own; the tuition is explanatory and advisory.

Yes, where it supports the econometric issue. Typical work includes Stata, R, Python or Matlab interpretation, debugging logic, replication and simulation design.

Yes. Many advanced MSc econometrics modules contain PhD-level material, especially GMM, asymptotic theory, time series and panel methods.

Start with a
free consultation

Send the course, exam board, module outline or assignment brief. The first conversation establishes exactly where support will have the highest return.