Background & CV

About Dr Nicky Grant

Dr Nicky Grant is a triple Cambridge graduate (BA, MPhil, PhD in Economics) and former lecturer at the University of St Andrews and University of Manchester. With 12+ years of university teaching experience, he is a published researcher in econometric theory through CeMMAP (IFS/Cambridge), co-authoring with Professor Richard J. Smith. He offers expert online tuition in A Level Maths, Further Maths, A Level Economics, university economics, econometrics, statistics, finance, TMUA and selective university admissions, UK-wide.

The depth of understanding that comes from Cambridge doctoral research, twelve years of university teaching, and active publication in econometric theory is genuinely different from standard tutoring, and it shows in every session.

Education

Three Cambridge
degrees

PhD · Economics · University of Cambridge

Doctoral thesis

"Estimation with Non-Standard Identification Conditions", developing inference methods for moment condition models where standard identification assumptions fail, supervised within Cambridge's Faculty of Economics.

MPhil · Economics · University of Cambridge

Master of Philosophy

Advanced graduate training in econometric theory and mathematical methods at the Faculty of Economics, Cambridge.

BA · Economics · University of Cambridge

Bachelor of Arts

Economics Tripos, University of Cambridge.

Academic experience

12+ years
university teaching

Lecturer in Economics · 2018 to September 2025

University of St Andrews

Business School · Economics Division. Module design and delivery in econometrics, maths for economics, and quantitative methods. Associate Lecturer.

Lecturer & Teaching Fellow

University of Manchester

Department of Economics. Designed and delivered ECON20110 (Applied Econometrics) and ECON61001 (Linear Models in Econometrics). Teaching notes publicly available via the University of Manchester.

Research Affiliate

CeMMAP / Institute for Fiscal Studies

Centre for Microdata Methods and Practice (UCL / IFS joint centre). Published two CeMMAP working papers in econometric theory with Professor Richard J. Smith, Chair of the Faculty of Economics, Cambridge.

Academic publications

Published research
in econometric theory

Eight published works across econometric theory and applied microeconometrics, identification-robust inference, GEL/GMM estimation, singular variance, and the economics of charitable giving.

Journal article · International Tax and Public Finance · Springer · 2019

How sensitive is the average taxpayer to changes in the tax-price of giving?

Peter G. Backus & · Vol. 26(2), pp. 317–356 · DOI: 10.1007/s10797-018-9500-9 · 5 citations

Identifies a previously unrecognised downward bias in estimates of the tax-price elasticity of charitable donations when non-itemisers are included in the sample. Proposes a consistent estimator based on the Correlated Random Effects Quantile approach, finding that the price elasticity is elastic only in the top income decile, contradicting much of the prior US literature.

CeMMAP Working Paper CWP05/19 · Institute for Fiscal Studies · 2019

Generalised Anderson-Rubin statistic based inference in the presence of a singular moment variance matrix

& Richard J. Smith

Establishes an equivalence between singular variance in moment conditions and identification failure, then develops novel asymptotic theory for the generalised Anderson-Rubin statistic that does not assume full rank of the moment variance matrix. Provides confidence regions with pointwise asymptotically correct size under singular variance.

CeMMAP Working Paper CWP23/18 · Institute for Fiscal Studies · 2018

GEL-based inference with unconditional moment inequality restrictions

& Richard J. Smith

Establishes large-sample equivalence between the GEL objective function and non-diagonal GMM in the partial identification setting, generalising existing literature. Proposes conservative confidence regions for the identified set and provides a simulation study comparing GEL and non-diagonal GMM with the standard diagonal GMM approach.

Journal article · Economics Bulletin · 2016

Correlated Random Effects Quantile Estimation of the Tax-Price Elasticity of Charitable Donations

· Vol. 36(3), pp. 1729–1736

Uses the CRE Quantile estimator of Bache, Dahl & Kristensen (2013) to provide panel quantile estimates of the tax-price elasticity of charitable donations, controlling for unobserved heterogeneity. Finds the price elasticity is decreasing in donation size: very large donors are largely unresponsive to tax incentives, while standard cross-sectional estimates suffer significant downward bias for small- to mid-level donors.

Manchester Economics Discussion Paper 1606 · 2016

Consistent Estimation of the Tax-Price Elasticity of Charitable Giving with Survey Data

Peter Backus & · University of Manchester

Working paper antecedent to the 2019 International Tax and Public Finance journal article. Develops the consistent estimator for the tax-price elasticity and demonstrates the source of bias in existing methods using survey data.

Working paper · University of Manchester eScholar · 2014

GMM with Weakly Singular Variance

· 44 pages · Manchester eScholar ID: uk-ac-man-scw:249531

A 44-page working paper extending the analysis of GMM estimation to settings where the moment variance matrix is weakly (rather than strictly) singular. Establishes asymptotic distribution theory for GMM estimators and test statistics under this weaker singularity condition, relevant to a broad class of econometric models where standard assumptions fail.

Book chapter · Advances in Econometrics Vol. 29 · Emerald · 2012

Overcoming the Many Weak Instrument Problem Using Normalized Principal Components

· In: Essays in Honor of Jerry Hausman · eds. Baltagi, Hill, Newey, White · pp. 107–147

Introduces normalized principal components (NPCs) as a superior alternative to standard PC methods for reducing many-instrument sets in IV estimation. Shows through simulation that standard PC techniques produce poor small-sample properties of IV estimators, while NPC methods restore favourable properties. Applies NPC to the Angrist–Krueger (1992) schooling returns setting.

Teaching notes · University of Manchester · ECON20110 / ECON61001

Linear Models in Econometrics

· Department of Economics, University of Manchester

Publicly available lecture notes covering the linear model at introductory postgraduate level, the zero conditional mean assumption, OLS consistency and asymptotic normality, written as preparatory material for the ECON61001 course and available via the University of Manchester's media server.

Magazine article · Aenorm (VSAE, University of Amsterdam)

Mailshot Advertising: An Econometric Analysis

· Aenorm, the magazine of the Study Association for Actuarial Science, Econometrics & Operational Research (VSAE), University of Amsterdam

An econometric analysis of mailshot advertising published in Aenorm, the leading scientific magazine of the VSAE (University of Amsterdam's student association for econometrics, actuarial science and operational research). The Aenorm is widely read among Dutch and international econometricians and actuaries.

Conference & seminar presentations

Econometric Theory Conference Presentations

Research presented at academic seminars and conferences in econometric theory, including at the University of Cambridge Faculty of Economics, the University of Manchester, the University of St Andrews, and CeMMAP. Presentations included work on identification-robust inference with singular moment variance, GEL-based inference with moment inequality restrictions, and normalized principal components for weak instrument problems.

Working paper · University of Manchester

Identification Robust Inference with Singular Variance

· Economics Discussion Paper EDP-1315

School of Social Sciences, University of Manchester, September 2013

Studies identification robust inference when moment variance is singular at the true parameter θ₀. Derives conditions for the GAR (Generalised Anderson-Rubin) statistic to have a chi-squared limit distribution using second-order asymptotic eigensystem expansions. Identifies the "moment-singularity bias." Precursor to the CeMMAP working papers co-authored with Professor Richard J. Smith.

International conference presentations

Research Presentations at International Econometrics Conferences

Nicky L. Grant

Research presented at: EEA-ESEM Geneva 2016 (European Economic Association / Econometric Society joint annual congress); IAAE 2016 (International Association for Applied Econometrics, Milan); RJS65 Conference in honour of Professor Richard J. Smith, Cambridge Faculty of Economics. Seminars at Universitat Pompeu Fabra (UPF) Barcelona, 2013. Topics: identification-robust inference with singular moment variance, GEL-based inference with moment inequality restrictions, and weak instrument problems in IV estimation.

Academic profiles & verification

Independently
verifiable

All credentials are independently verifiable through the following external academic, institutional, and professional sources.

University profile St Andrews Research Portal University of St Andrews Research Portal listing Nicky Lee Grant's research topics: Econometric Theory (specialising in identification and inference) and applied microeconometrics.

📌 Register on IDEAS/RePEC, registering at authors.repec.org creates a public author profile that links all your papers, is indexed by Google Scholar, and increases citation discoverability across 73,000+ registered economists. It takes 10 minutes and significantly boosts AI entity recognition.

Expertise

Topics covered

All areas tutored across economics, econometrics, mathematics and statistics.

OLS & Gauss-Markov GMM / GEL Instrumental variables 2SLS Time series Stationarity & unit roots Cointegration ARIMA Panel data Fixed & random effects Heteroskedasticity Autocorrelation Newey-West Partial identification Singular variance Weak instruments Maximum likelihood Bayesian econometrics Microeconomics Macroeconomics A Level Maths Further Maths GCSE Maths Oxbridge interviews TMUA Personal statements R Stata EViews Python MATLAB

Work with
Dr Grant

Free 30–45 minute initial consultation to discuss your goals, your level, and how sessions would be structured. No obligation. Reply within one business day.