10-12 February 2020, London
This course is co-developed with Lancaster University Management School and covers the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under the assumption of “selection on observables” and “selection on unobservables”.More information
11 February 2020, London
Choosing an appropriate sample size is a common problem. This course gives a practical introduction to sample size determination in the context of some commonly used statistical hypothesis tests.More information
30 March - 1 April 2020, London
This course is co-developed with Lancaster University Management School and covers Stata's potential to draw knowledge and value from rows of large, and possibly noisy data using the machine learning capabilities available within Stata 16More information
4 & 5 May 2020, London
This is a new course that makes use of the new features now available within Stata 16.
Delivered by Dr. Melvyn Weeks from the University of Cambridge, the course covers topics at the intersection of machine learning and econometrics.More information
20-22 July 2020, Oxford
Delivered by Jennifer L. Castle, Jurgen A. Doornik and David F. Hendry, this 2.5-day short-course provides an introduction to the theory and practice of econometric modelling of climate variables in a non-stationary world.More information
This online session is ideal for the new or beginner level user who wants to learn how to use OxMetrics 8 to model economic and financial time series. We provide a general overview of OxMetrics 8, and then focus on how to perform automatic model selection using Autometrics, the unique tool of PcGive 15 that has proved to outperform even the most experienced econometrician in finding the best model for your data.More information
Our 'Stata Fundamentals' webinar provides a complete introduction to Stata and is ideal for the new or beginner level user who wants to have a head start and learn how to use Stata efficiently.
We introduce popular Stata commands to import, manipulate, transform and manage data as well as how to export results to commonly used file formats. Stata do-files, log files and also graphics are covered briefly in the final session.More information
The International Institute of Forecasters (IIF), a non-profit organization founded in 1982, is dedicated to developing and furthering the generation, distribution, and use of knowledge on forecasting, with the goal of “bridging the gap (in forecasting) between theory and practice, with practice helping to set the research agenda and research providing useful results.”More information
The proceedings of the 25th UK Stata Conference (London) that took place on 5 & 6 September 2019 at Cass Business School are now available for download.More information
10 & 11 September 2020, London
The 26th UK Stata Conference (London) is a two-day international event that provides Stata users from across the United Kingdom and the world the opportunity to exchange ideas, experiences, and information on new applications of the software.
Meet and collaborate with Stata developers and connect with the Stata user community.
EViews 11 is a brand new version of EViews with lots of exciting new features, from extensive VAR improvements, to integration with Python, geographical map visualisations, and much more.More information
We have over thirty years of experience in distributing leading software, delivering quality training courses, and providing consultancy services
For many strategy scholars including myself Stata is the key tool, enabling us to test exciting ideas. The new version enables a few cool things prior versions did not. Very happy with it."
I am a big fan of Stata and use it frequently for econometric analyses. I am impressed by the software providing and adopting the latest econometric techniques, and I value the ease with which complicated models and procedures can be specified."
Staff and students at The University of Warwick previously accessed Stata via several disparate pools of licences. These licences were all separately purchased and managed by departments across the University and only provided access to a limited number of users in those departments. We have consequently seen a huge uptake in the number of Stata users at the University, such that it is now one of the most popular applications provided by central IT Services."
Absolutely beautiful session on a very difficult subject given by an experienced and gifted teacher in a logical and easy way. I couldn't be more satisfied."
Having insights from someone using Stata proficiently, and to not only learn but discover other tracks to follow to improve my proficiency with Stata"
Excellent course, I have learnt a lot"
I found it so helpful to be guided through analysis on Stata, and not just how to code the analysis but also how to interpret the output. The course has definitely made my every day job a lot easier and I feel I now have a much stronger understanding."
Comprehensive and effective teaching; now I know how to use Stata"
Everything the trainer talked about was clear and followed by examples on how to implement it. Fantastic class all together!"
The mixture between theory and practice was very useful"
This was a great course. The Professor was spectacular and it was a privilege to sit in [Prof. Andrew Harvey's] class."
I found the Professor's ability to convey the intuition behind the key concepts in a manner that could be easily understood was the most useful aspect of the course. He is clearly a cut above others in his ability to do this. One of the best I have ever come across."
I was able to ask questions from [Prof. Andrew Harvey] related to my current research work and received very useful suggestions."
The hands-on approach with OxMetrics was excellent. Professor Harvey is a fantastic teacher!"
Dr. Weeks taught/explained it in a whole new way. The focus wasn't just on Stata but the theory behind the econometrics as well which really improved my understanding."
Mixed modelling is a modern and powerful data analysis tool for modelling clustered data, typically used for modelling data collected in studies where the levels of a factor are considered to be a random selection from a wider pool, or in the presence of a multi-level structure with different levels of variability.
The course will focus on medical and health related applications of mixed modelling. Specific applications include multi-centre trials and cross-over trials in addition to the analysis of repeated measurements.View full course details
This course is for professionals and researchers from all academic disciplines who are new to Stata. The course assumes only limited statistical knowledge and experience of using statistical software.View full course details
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.View full course details
The course focuses on practical programming needs arising when dealing with large datasets, multiple data sources and the programming tools which may help in routinising complex tasks and automating pieces of your work.View full course details
This two-day course introduces participants to Panel Data analysis and will be taught the statistical theory behind these methods, and they will apply these methods to specially chosen datasets using examples from economic, social, and medical research.View full course details
One of our most popular courses, we introduce Stata's popular and useful commands to import, manipulate, transform, manage and export data. Stata .do files / log files /graphics. The course moves on to cover the fundamentals of linear regression and panel data analysis. A must for all new Stata users.View full course details
The objective of this course is to provide participants with a gentle introduction to the essential toolset, mainly applied, for the implementation of simple structural equation models (SEM) for causal modelling in Stata, using the Stata package
This course will cover topics at the intersection of machine learning and econometrics.
The course covers a mix of theory and applications. Using Breiman’s (2001) notion of two cultures in the use of statistical modelling, we start with a review of the fundamental differences between machine learning and econometrics. View full course details
This course is a primer to machine learning techniques using Stata. Today, various machine learning packages are available within Stata, but some of these are not known to all Stata users. This course fills this gap by making participants familiar with Stata's potential to draw knowledge and value from rows of large, and possibly noisy data. The teaching approach will be based on the graphical language and intuition more than on algebra. The sessions will make use of instructional as well as real-world examples, and will balance theory and practical sessions evenly.View full course details
This course is a primer to machine learning techniques using Stata. Stata owns today various packages to perform machine learning which are however poorly known to many Stata users. This course fills this gap by making participants familiar with (and knowledgeable of) Stata potential to draw knowledge and value from rows of large, and possibly noisy data. The teaching approach will be based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions.View full course details