Courses

Currently, all of our training courses are being held online.

All of our courses are hosted by expert certified trainers and research professionals who teach through a mix of demonstrative and practical sessions to provide high-class, practical training.

You can register for our courses online. To discuss any of our courses or specific training requirements, please call +44 (0) 20 8697 3377 .

An Introduction to Machine Learning using Stata, Co-Developed with Lancaster University

26 - 27 October 2020 Online 2 days (26th October 2020 - 27th October 2020) Stata

Presented By: Dr. Giovanni Cerulli, IRCrES-CNR

Recent years have witnessed an unprecedented availability of information on social, economic, and health-related phenomena. Researchers, practitioners, and policymakers have nowadays access to huge datasets (the so-called “Big Data”) on people, companies and institutions, web and mobile devices, satellites, etc., at increasing speed and detail.

How to Write your Dissertation with EViews

19 - 20 Aug 2020 Online 2 days (19th August 2020 - 20th August 2020) EViews

The aim of this course is to provide participants with an in-depth understanding of how a good MSc dissertation should look, and how to easily use Eviews to obtain any required econometrics.

Participants will receive a free temporary EViews license, as well as a recording of the training session, that will be live for 30 days.

The course is meant for any MSc student writing their MSc dissertation, who needs guidance on the best structure, and most suitable econometric methods to apply. No previous knowledge of EViews is required.

  • How to structure your dissertation
  • Abstract and introduction in depth discussion and examples
  • How to get a smart literature review: discussion of successful examples
  • Build, estimate and forecast from linear regression, time series and panel data models using EViews
  • Understand and critically present and discuss your results

Stata Programming Workshop

15 - 17 June 2020 New Horizons, Computer Learning Centre, New York City, USA 3 days (3rd September 2020 - 9th September 2020) Stata

Presented By: Professor Christopher F. Baum

Stata Programming Workshop is an opportunity for graduate students, academics, researchers and professionals to expand their knowledge of Stata. This 3-day course introduces programming skills to those who have never written a program in Stata.

Introduction to Panel Data Analysis with Stata

18 September (8 hours, 2020) Online 2 days (18th September 2020 - 18th September 2020) Stata

Presented By: Dr. George Naufal (Texas A&M University)

Our web-based 'Introduction to Panel Data Analysis with Stata' course provides an overview of the most-used panel data techniques and is ideal for the beginner/intermediate-level user who wants to learn how to implement panel data estimation with Stata commands.

What Sample Size do I need? With Stata (online)

8 October 2020 Online 1 day (8th October 2020 - 8th October 2020) Stata

Presented by James Gallagher and Sandro Leidi

Choosing an appropriate sample size is a common problem and should be given due consideration in any research proposal, as an inadequate sample size invariably leads to wasted resources.

This course gives a practical introduction to sample size determination in the context of some commonly used significance tests.

Examples from a scientific background are used to highlight the problems associated with sample size determination and suggest potential solutions.

Formulae and algebraic notation are kept to a minimum.

Regression Modelling using Stata

29 - 30 October 2020 Online 2 days (29th October 2020 - 30th October 2020) Stata

Presented By: Dr. Malvina Marchese

This course is for researchers from all academic disciplines who are new to Stata. The course assumes only limited statistical knowledge and experience of using statistical software. Participants will be introduced to Stata and will be taught the statistical theory behind linear and non-linear regression methods . Practical sessions will use macro economic and finance datasets.

Time Series Analysis & Modelling using Stata

11 - 12 June 2020 TBC 2 days (11th June 2020 - 12th June 2020) Stata

Presented By: Dr. George Naufal (Texas A&M University)

Time series data are nowadays collected for several phenomena in social and empirical sciences. Initially collected at year or quarter level, time series data are now used by marketing analytics, financial technology, and other fields in which data are collected at much smaller intervals (daily, hourly and even by the minute). This course focuses on the fundamental concepts required for the analysis, modelling and forecasting of time series data and provides an introduction to the theoretical foundation of time series models alongside a practical guide to the use of time series analysis techniques implemented in Stata 15. The course is based on the textbook by S. Boffelli and G. Urga (2016), Financial Econometrics Using Stata, Stata Press Publication.

Advances in causal inference and program evaluation using Stata (ONLINE)

5 - 6 October 2020 Online 2 days (5th October 2020 - 6th October 2020) Stata

Presented by: Dr. Giovanni Cerulli

Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.

It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard treatment setting poses limitations.

More specifically, the course will focus on these approaches: (i) Difference-in-differences (DID) with time-varying and time-fixed binary treatment; (ii) the Synthetic Control Method (SCM) for program evaluation, suitable when datasets on many times and locations are available; (iii) models for multivalued and quantile treatment effect estimation.

After attending the course, the participant will be able to setting up and managing a correct evaluation design using Stata, by identifying the policy framework, the appropriate econometric method to use interpreting correctly the results. The course will provide various instructional examples on real datasets.

Macroeconomic Density Forecasting & Nowcasting

2 - 3 November 2020 (2020 GMT) Online 2 days (2nd November 2020 - 3rd November 2020) EViews

Presented By: Dr. Andrea Carriero (Queen Mary, University of London)

Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession.

Time Series Econometrics (online)

23 - 24 Oct 2020 Online 2 days (23rd October 2020 - 24th October 2020) EViews

Delivered by Dr. Malvina Marchese

This online intensive course provides a comprehensive introduction to time series analysis and forecasting with EViews. The course offers a full overview on time series models and forecasting methods, covering a variety of different models including ARMA, ARDL, Regime Switching models, GARCH models and Midas time series regressions. Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.

Taking a “learning-by-doing” approach, we present the most relevant time series models employing plenty of financial and macroeconomic data examples. The course specifically focuses on forecasting methodologies in macro econometrics and financial econometrics. Participants leave with the know-how on a wide range of time series models and the ability to identify which one to use for a specific modelling and forecasting purpose.

The course is intentionally flexible. The agenda emerges dynamically and depends on the group’s prior background and knowledge of EViews. By the end of the two-day on line course participants should be able to:

  • Model and forecast from a univariate AR(FI)MA model
  • Model and forecast from a univariate GARCH (including EGARCH, TARCH, APARCH and GJR models)
  • Distinguish between stationary and nonstationary series and understand the implications of using nonstationary series;
  • Build, estimate and forecast from univariate time series models using Eviews an compare the forecasting performances of the models
  • Understand and critically evaluate recent research in time series

Stata Programming Workshop: Introduction and Advanced

3 & 4, 8 & 9 September 2020 Online 4 days (3rd September 2020 - 9th September 2020) Stata

Presented by Prof. Christopher F. Baum, Boston College & Dr Vincent O'Sullivan, Lancaster University

This course will be delivered as an online webinar, via Zoom.

This course is taught in two sections. The first, is for Stata users–professionals and researchers from all academic disciplines–who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques.

The second, is for users who have completed the companion course Introduction to Stata Programming and would like to use more advanced features of the Stata and Mata programming languages. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. Mata programming techniques will illustrate how this language can be used to simplify and accelerate computations.

How to Write Your Dissertation with Stata

17 - 18 August 2020 Online 2 days (17th August 2020 - 18th August 2020) Stata

The aim of this course is to provide participants with an in-depth understanding of how a good MSc dissertation should look, and how to easily use Stata to obtain any required econometrics.

Participants will receive a free temporary Stata license, as well as a recording of the training session, that will be live for 30 days.

The course is meant for any MSc student writing their MSc dissertation, who needs guidance on the best structure, and most suitable econometric methods to apply. No previous knowledge of Stata is required.

  • How to structure your dissertation
  • Abstract and introduction in depth discussion and examples
  • How to get a smart literature review –discussion of successful examples
  • Build, estimate and forecast from linear regression, time series and panel models using STATA
  • Understand and critically present and discuss your results

Do you have course specific questions? Email our team [email protected]. If you have course content specific questions, you are welcome to reach out to the course tutor here: [email protected].

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