Timberlake Consultants are proud to work in conjunction with a wide range of highly esteemed professional to deliver quality public attendance training courses across the fields of econometrics and statistics. Many of our associates are widely recognised among the international community for their research, while numerous individuals have been beneficial to developing econometric and statistical software.

View the profiles of the lecturers and academics we work closely with below:

Prof. Sean Holly

University of Cambridge

Sean Holly is a Fellow at Fitzwilliam College at Cambridge University and Director of Research in the Faculty of Economics at Cambridge University. His research interests include macroeconomic modelling, optimal policy formulation, the business cycle from the cross section, business failure and macroeconomic volatility. Prof. Holly has been involved in several industry projects including forecasting of variables for the UK Department of the Environment, Transport and the Regions and the European Commission. Prof. Holly is also a Non Executive Director of Timberlake Consultants.

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Prof. Giovanni Urga

Cass Business School, City University London

Giovanni Urga is Professor of Finance and Econometrics at the Cass Business School (City University London) and the Director of the Centre for Econometric Analysis. He is also Professor in Econometrics at the Economics Department of Bergamo University (Italy). Formerly, he was Research Fellow at London Business School, Visiting Lecturer at New Economic School in Moscow and Research Officer at the Institute of Economics and Statistics in Oxford. His research focuses on econometric modelling, emerging capital markets, econometric methodology, panel data econometrics and financial econometrics. Prof. Urga is also a Non Executive Director of Timberlake Consultants.

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Dr. Bianca De Stavola

London School of Hygiene and Tropical Medicine, University of London

Bianca De Stavola is a Reader in Biostatistics at the London School of Hygiene and Tropical Medicine (University of London) where she holds the position of Head of the Medical Statistics Unit. She trained in Padua (Italy), the London School of Economics and Imperial College (London), where she gained a PhD in Statistics. Dr. De Stavolas research focuses on the understanding, development and implementation of statistical methods for long-term longitudinal studies with specific applications to the epidemiology of chronic diseases. Dr. De Stavola is also a Non Executive Director of Timberlake Consultants. Recently, Timberlake Press released A Short Introduction to Stata for Biostatistics (Updated to Stata 12) by Dr. De Stavola and co-author Michael Hills, which provides a short but comprehensive introduction to the statistical software in Stata 12 and biostatistic applications.

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Dr. Marwan Izzeldin

Lancaster University

Dr. Marwan Izzeldin is currently a Lecturer at the Department of Economics at Lancaster University where he is also the Director of Gulf One Lancaster Centre for Economic Research. He holds a PhD in Finance from the Cass Business School (London City University) and an MA in Economics from University College Dublin. His main research interests are volatility modelling and forecasting, measuring dependency, bootstrap methods and Islamic finance. Dr Izzeldin is also actively engaged in several research programmes in the Middle East and Africa. Dr. Marwan Izzeldin is also a Non Executive Director of Timberlake Consultants.

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Cono Ariti

London School of Hygiene and Tropical Medicine, University of London

Cono Ariti is a lecturer in Medical Statistics at London School of Hygiene and Tropical Medicine, where he teaches Foundations in Medical Statistics, Advanced Statistical Modelling and Statistical Methods in Epidemiology. His research focuses on cardiovascular disease, clinical trials and BCG vaccination efficacy. Before joining LSHTM in 2009, Cono held senior statistical positions in several multinational organisations including Capital One Bank and MasterCard International.

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Dr. George Bagdatoglou

Timberlake Consultants Ltd.

George Bagdatoglou is the senior econometrician at Timberlake Consultants. He completed his PhD in Economics and Econometrics at Brunel University in 2006 where he also studied his MSc in Financial Economics. He currently provides international on-site training using a range of software, as well as hosting webinar and software demonstration sessions.

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Prof. Christopher Baum

Department of Economics, Boston College
DIW Berlin (Deutsches Institut für Wirtschaftsforschung)

Christopher F. Baum is an economist and associate professor at Boston College, Massachusetts, where he co-directs the undergraduate minor in scientific computation. He is also a research professor at the Deutsches Institut für Wirtschaftsforschung, Berlin. Prof. Baum's research interests include: applied econometrics, effects of uncertainty on firm behaviour, monetary policy and capital investment decision. A list of his current works can be found here (via the Department of Economics, Boston College website). Christopher F. Baum is also a key Stata Press Author, writing both An Introduction to Stata Programming and An Introduction to Modern Econometrics Using Stata.

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Dr. Arnab Bhattacharjee

Heriot-Watt University

Dr. Arnab Bhattacharjee is a Reader in Economics who joined the University of Dundee in October 2010. He completed his graduate and postgraduate studies in Statistics from the Indian Statistical Institute (Kolkata, India) before working for five years at the Reserve Bank of India and completing a PhD in Economics part time from the University of Mumbai (2002). In 2008, he returned to the Indian Statistical Institute to complete a PhD in Statistics. Before coming to Dundee in 2010, he was College Lecturer and Research Associate in Cambridge University (2001-2004) and Lecturer in Economics and Finance at St Andrews University (2004-2010). His main research area is applied econometrics, specifically microeconometrics, panel data and spatial econometrics. In addition, his applied work focuses on housing markets and other spatial economic processes, monetary policy and business cycle in the cross section.

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Prof. Charles Bos

VU University Amsterdam

Charles Bos is currently an Assistant Professor at the Department of Econometrics and Operations Research at the VU University Amsterdam and the Tinbergen Institute Amsterdam. He had previous positions at the Econometric Institute of the Erasmus University Rotterdam and at Nuffield College at the University of Oxford. Prof. Bos' research interests focus on financial econometrics using state space models for volatility and correlation. For this purpose he applies both Bayesian statistics and classical simulation methods.

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Dr. James Carpenter

London School of Hygiene and Tropical Medicine, University of London

Dr. James Carpenter is a Reader in Medical and Social Statistics at the London School of Hygiene and Tropical Medicine (University of London) where he is also the Unit Research Degree Co-ordinator of the Medical Statistics Unit. He holds a PhD from the Department of Statistics from the University of Oxford. His main statistical research interests are on coping with missing data in complex hierarchical models, Monte-Carlo methods in hierarchical models and meta-analysis.

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Andrea Carriero

Queen Mary, University of London

Andrea Carriero is a reader at the School of Economics and Finance, Queen Mary, University of London. Andreas research interests are in applied macroeconometrics and financial econometrics. He is working on the econometric analysis of the term structure of interest rates and on forecasting and structural modelling with large datasets. He has also been an intern in the Monetary Policy Strategy division of the ECB and has done consulting work for Banca Intesa, the Central Bank of the Czeck Republic and the Central Bank of Estonia.

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Dr. Jennifer Castle

University of Oxford

Dr. Jennifer Castle is an Economics Fellow at Magdalen College, University of Oxford. She holds a PhD in Economics from Nuffield College, University of Oxford. Her research focuses on econometric modelling and the use of general-to-specific methodology in modelling economic time-series, modelling non-linear economic time-series and macro-economic forecasting in theory and practice. Applications include inflation, unemployment and the output gap. Alongside Neil Shephard, she helped to write the 2009 title The Methodology and Practice of Econometrics A Festschrift in Honour of David F. Hendry.

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Tim Clayton

London School of Hygiene and Tropical Medicine, University of London

Tim Clayton joined the London School of Hygiene and Tropical Medicine (University of London) in October 1994 after completing his MSc in Medical Statistics at the School. He has been a member of the Medical Statistics Department since that time except for a year spent in the Infectious Diseases Epidemiology Unit in 1997/98.

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Tim Collier

London School of Hygiene and Tropical Medicine, University of London

Tim Collier is a Lecturer in Medical Statistics at the London School of Hygiene and Tropical Medicine (University of London). He is the Course Director of the MSc in Medical Statistics, where he teaches Introduction to Statistical Computing, Clinical Trials and Advanced Statistical Methods in Epidemiology. His research concentrates in Cardiovascular Clinical Trials, and Data and Safety Monitoring.

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Dr. Nicholas Cox

Durham University

Dr. Nicholas Cox is a geographer at Durham University. His main research interests are in statistical applications within geography and the environmental sciences, including exploratory data analysis, graphics, smoothing, generalised linear models, fitting of probability distributions, circular statistics and spatial analysis. Dr Cox has developed software in various statistical and mathematical languages, especially Stata. He is well-known in the Stata community as a prolific program and FAQ writer, a frequent contributor to Statalist, an organiser and presenter at many user meeting conferences worldwide and a former Associate Editor of the Stata Technical Bulletin. He is currently joint Editor of the Stata Journal and writes a regular Speaking Stata column in the Journal.

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Dr. Pasquale Della Corte

Imperial College Business School, Imperial College London

Pasquale Della Corte is an Assistant Professor of Finance at Imperial College Business School, Imperial College London, and an Associate Editor of the Journal of Money, Credit and Banking (JMCB). Pasquale's research interests focus on international finance, market microstructure, empirical asset pricing, portfolio choice and Bayesian econometrics. Pasquale's research has also been published in the Journal of Financial Economics, the Review of Economics and Statistics, the Review of Financial Studies, and the Journal of Empirical Finance as well as featuring in the FT, VoxEu and EconoMonitor. His research has received the Inquire UK 2010 and Inquire UK 2011 best paper awards.

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Dr. Jurgen Doornik

University of Oxford

Dr. Jurgen Doornik is a Research Fellow at the Economics Department of the University of Oxford at Nuffield College, and a director of OxMetrics Technologies Ltd. His main interest is in computational econometrics and statistics, with current research focusing on automatic model selection. Dr. Doornik is the core developer of the OxMetrics system of scientific software, which includes PcGive, for interactive econometric modelling, and Ox, which is a matrix programming language aimed primarily at statistical and econometric applications. Dr. Doornik and his associates have also compiled a range of guidebooks and manuals for OxMetrics software. Click here to see the line up of available OxMetrics titles.

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Prof. Stephen Evans

London School of Hygiene and Tropical Medicine, University of London

Stephen Evans is Professor of Pharmacoepidemiology at the London School of Hygiene and Tropical Medicine (University of London). Previously, he held positions at the UK Medicines Control Agency and briefly at Quintiles where he mainly worked on the Bristol Royal Infirmary Inquiry. He is also a co-opted member of the Pharmacovigilance (Drug Safety) Working Party at the European Medicines Agency and on the WHO Global Advisory Committee on Vaccine Safety. His main research interests include safety of medicines, assessment of safety and risk in a general sense, but particularly in trials and epidemiological studies, and scientific fraud and misconduct in clinical trials.

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Prof. Andrew Harvey

University of Cambridge

Andrew Harvey is Professor of Econometrics at the University of Cambridge with a Fellowship at Corpus Christi College. He is also a Fellow of the Econometric Society and a Fellow of the British Academy (FBA). Previously he was a Professor of Econometrics at the London School of Economics. His research interests focus on time-series econometrics, macro-econometrics, financial econometrics, state space models, signal extraction, volatility, quantiles and copulas. Prof. Harvey is also one of the main developers of STAMP, an OxMetrics module for structural time-series analysis and forecasting. Prof. Harvey has helped write a number of OxMetrics related titles, including: State Space and Unobserved Component Models: Theory and Applications and Readings of Unobserved Components Models.

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Prof. Sir David Hendry

University of Oxford

Sir David Hendry is Professor of Economics at the University of Oxford, and a Fellow of Nuffield College. His current research focuses on empirical modelling, forecasting and automatic model selection. Together with Dr. Jurgen Doornik they have developed advanced versions of PcGive to improve and facilitate practical econometric modelling, incorporating Autometrics, an automatic model selection procedure. Prof. Hendry is well known as one of the pioneers of the London School of Economics approach in econometric modelling known also as the general-to-specific methodology. In addition to helping to write numerous PcGive guides, Sir Hendry is also the co-author of Econometric Modeling: A Likelihood Approach and Nonlinear Econometric Modeling in Time Series.

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Prof. Joseph M. Hilbe

Arizona State University

Prof. Hilbe is an Adjunct Prof. of Statistics at Arizona State University, Solar System Ambassador with Jet Propulsion Laboratory, California Institute of Technology, and Emeritus Professor at the Univ. of Hawaii. A Fellow of the American Statistical Association and elected member of the International Statistical Institute, Prof. Hilbe is one of the leading statisticians in the area of discrete response regression models, authoring 2 editions of the bestseller, Negative Binomial Regression (2007, 2011, Cambridge Univ. Press) and bestseller Logistic Regression Models (2009, Chapman & Hall/CRC), in addition to multiple editions of several other popular texts on statistics. Recently, Prof. Hilbe co-authored the third edition of the Stata guide: Generalized Linear Models and Extensions.

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Prof. Stephen Jenkins

London School of Economics and Social Policy

Stephen Jenkins is Professor of Economic and Social Policy at the London School of Economics and Social Policy. He is also a Research Professor at the DIW-Berlin. Previous post included: Chair (President) of the Council for the International Association for Research on Income and Wealth, President of the European Society for Population Economics and Professor of Economics at the Institute for Social and Economic Research at the University of Essex (where he is also currently a Visiting Professor). His research interests include: Analysis of the distribution of income and its redistribution through taxation, social security and the labour market, trends in inequality and poverty and trends in inequality.

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Prof. Fred Joutz

George Washington University

Prof. Fred Joutz is currently the Director of the Research Program on Forecasting at the Department of Economics at the George Washington University. The primary focus of his research has been in the areas of economic modelling and forecasting. He has served as a consultant and technical expert to several U.S. federal government agencies and private corporations. He has contributed to the forecasts of U.S. macroeconomic variables to the Federal Reserve Bank of Philadelphia and the Survey of Professional Forecasters since 1988 and the Economic Survey International (ESI) by the Institute for Economic Research since 2002.

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Prof. Siem Jan Koopman

VU University Amsterdam

Siem Jan Koopman is Professor of Econometrics at the Vrije Universiteit Amsterdam and Research Fellow at the Tinbergen Institute. He holds a PhD from the London School of Economics and his research interests are statistical analysis of time series with applications in economics and finance, Kalman filter methods and forecasting. Prof. Jan Koopman is one of the OxMetrics software developers and one of the main contributors of the development of STAMP and SsfPack modules. STAMP specialises in time series modelling and forecasting based on structural time series models while SsfPack is based on general state space models. Alongide Andrew Harvey and Neil Shephard, Prof. Jan Koopman helped write State Space and Unobserved Component Models: Theory and Applications.

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