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 .

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.

Time series Analysis with Stata

14 - 15 September 2020 Online 2 days (14th September 2020 - 15th September 2020) Stata

The aim of this course is to provide participants with an in-depth understanding of the fundamental concepts of time series modelling and forecasting and with the practical skills to use Stata to model and forecast economic time series.

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

Advances in Causal Inference using Stata

14 & 15 September 2020 Online 2 days (14th September 2020 - 15th September 2020) Stata

Presented By: Dr. Giovanni Cerulli, IRCrES-CNR

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.

Introduction to Panel Data Analysis with Stata

18 September & 25 November (1pm-4pm GMT) Online 3 Hours (18th September 2020 - 25th November 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.

Time Series and Forecasting Using EViews

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

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

Econometrics of Program Evaluation Using Stata

30 Nov - 1 Dec 2020 Online 2 days (29th November 2020 - 1st December 2020) Stata

Presented By: Dr. Giovanni Cerulli

This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.

Econometrics of Program Evaluation using Stata

30 November - 1 December 2020 Online 2 days (30th November 2020 - 1st December 2020) Stata

This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”.

The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.

This course will be running online, via Zoom webinar.

Time Series Analysis & Modelling using Stata

10 - 11 December 2020 TBC 2 days (10th December 2020 - 11th December 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.

Climate Econometrics Spring School - 2021

Spring 2021 George Washington University, Washington, D.C. 2.5 days (7th March 2021 - 9th March 2021) OxMetrics

Presented By: Prof. Sir David F. Hendry, Dr. Jennifer Castle & Dr. Jurgen Doornik

Castle, Doornik and Hendry deliver this new course to our schedule which provides an introduction to the theory and practice of econometric modelling of climate variables in a non-stationary world. It covers the modelling methodology, implementation, practice and evaluation of climate-economic models.

Introduction to Health and Social Research with Stata

8-9 June 2020 (10-12 & 2-4pm GMT) Online 2 days (8th June 2020 - 9th June 2020) Stata

Presented By: Dr. Vincent O’Sullivan (Lancaster University)

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

This course is for professionals and researchers from all academic disciplines who are new to Stata, assuming only limited statistical knowledge and experience of using statistical software.

Introduction to NVivo - Module 3

June 29th 2020 (13:00-16:00 GMT) Online 3 Hours (29th June 2020 - 29th June 2020) NVivo

Presented By: Fiona Wiltshier (Official NVivo Trainer)

The last of 3 modules on the Nvivo software. This session includes s a Q&A from the previous session and covers aspects such as querying text data, linking and visualising your data, and exporting from your project.

Please note that this training will be hosted on Windows OS. If you wish to request a Mac OS demonstration, please contact us.

This session runs from 12:00-15.00 GMT.

Introduction to NVivo - Module 1

4 June 2020 (12:00-15:00 GMT) Online 3 Hours (4th June 2020 - 4th June 2020) NVivo

Presented By: Fiona Wiltshier (Official NVivo Trainer)

The first of 3 modules on the Nvivo software, this session addresses basics such as creating projects, importing data, creating memos and coding.

Please note that this training will be hosted on Windows OS. If you wish to request a Mac OS demonstration, please contact us.

This session runs from 12:00-15.00 GMT.

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