Skip to main navigationSkip to main content
The University of Southampton
Economic, Social and Political Sciences
Phone:
(023) 8059 2450
Email:
N.TZAVIDIS@soton.ac.uk

Professor Nikos Tzavidis PhD

Head of Economic, Social and Political Sciences, Professor of Statistical Methodology

Professor Nikos Tzavidis's photo

Professor Nikos Tzavidis is Head of School - Economic, Social and Political Sciences and Professor of Statistical Methodology within Social Statistics and Demography and the Southampton Statistical Sciences Research Institute at the University of Southampton.

After completing his MSc in statistics Professor Tzavidis joined the R&D unit of the Statistical Office of the European Union (Eurostat).  Since completing his PhD he has held a post-doc position at the University of Southampton and academic positions at the Centre for Longitudinal Studies, Institute of Education, University College London and at the Cathie Marsh Institute for Census and Survey Research, University of Manchester. He joined the University of Southampton for the second time in September 2010.

His research is supported by the European Union's Framework Programmes, the British Academy, the UK Economic and Social Research Council, the UK Office for National Statistics and the UK Department for International Development. Professor Tzavidis has also been involved in consultancy work for National Statistical Institutes and Government Departments in the UK (Office for National Statistics and the Welsh Government), Europe (e.g. Central Bureau of Statistics, Netherlands) and overseas (e.g. National Council for the Evaluation of Social Development Policy, Mexico).

In 2013 Professor Tzavidis was awarded a Vice-Chancellor Teaching Award. In 2019-20 he was a visiting Professor at the Sapienza University in Rome. Professor Tzavidis is an elected member of the International Statistical Institute (ISI), he has served on the council of the International Association of Survey Statisticians (IASS) and as Associate Editor for the Journal of the Royal Statistical Society Series A. He currently serves on the Editorial Boards of the Journal of Official Statistics and the International Statistical Review and as an academic assessor for the UK Government Statistical Service Fast Stream.  Since 2018 he serves on the advisory board of the Research Institute for Official and Survey Statistics in Trier Germany.

Research interests

Professor Tzavidis has research interests in various aspects of theory and applications of small area estimation. He further researches topics in M-quantile and quantile regression, robust estimation for random effects models, the analysis of multilevel and longitudinal data and the estimation of survey discontinuities. Recent research work includes the use of optimal transformations in prediction, multivariate quantile and M-quantile regression, inference under cluster displacement and other forms of masking geographical identifiers, small area estimation of extreme poverty using ‘big’ data sources (satellite and mobile phone data) and area estimation for consumer price indices.

Selected Research Projects

Extreme Poverty – Funded by the UK Department for International Development

InGRID 2 – Funded by the European Union’s Horizon 2020

MAKSWELL - Funded by the European Union’s Horizon 2020

Borrowing Strength – A collaborative software development for Small Area Estimation - Funded by the UK Economic and Social Research Council and the National Centre for Research Methods

Innovations in Small Area Estimation Methodologies – Funded by the UK Economic and Social Research Council

InGRID 1 - Funded by the European Union’s FP7

Small Area Methods for Poverty and Living conditions Estimates - Funded by the European Union’s FP7

Software development

Package 'emdi' [PDF]

 

 

 

 

Sort via:TypeorYear

Articles

Book

Book Chapters

Conferences

Reports

Working Papers

Current and past teaching responsibilites

Coordinator of the MSc programmes in social statistics and in demography

BSc courses
STAT1003 - Introduction to Quantitative Methods
STAT2009 - Research Methods in the Social Sciences

MSc courses (MSc Social Statistics, Demography, Statistics with Applications to Medicine)
STAT6076 - Survey Data Analysis
STAT6078 - Modelling Longitudinal Data
STAT6080- Modelling Multilevel Data
STAT6083 - Generalised Linear Models

MSc Official Statistics
STAT6039 - Analysis of Longitudinal Data
STAT6036 - Generalised Linear models

External programmes
Survey Data Analysis II - CASS Programme, University of Southampton
Generalised Linear Models - CCSR, University of Manchester

Professor Nikos Tzavidis
Reception Building 58 University of Southampton Southampton SO17 1BJ United Kingdom

Room Number: 58/2091

Share this profile Share this on Facebook Share this on Twitter Share this on Weibo
Privacy Settings