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.
10-12 February 2020
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
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
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
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 Stata’s most popular and useful commands and procedures 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
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
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 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
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
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
Our web-based Introduction to Panel Data Analysis with Stata course provides an overview of the most used panel data techniques. The course is ideal for beginner/intermediate level user who wants to learn how implement panel data estimation with Stata commands.View full course details
Our web based Introduction to Time Series Analysis with Stata course provides an introduction to most important Stata’s Time Series Commands.
The course is ideal for beginner/intermediate level user who wants to learn how to analyse time-series data and estimate univariate time-series models. The course is based on the textbook Financial Econometrics Using Stata by S.Boffelli and G.Urga (2016), Stata PressView 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 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
The aim of this course is to provide students with the theoretical knowledge of regression analysis and with the practical skills to implement regression analysis with econometric software.View full course details
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.View full course details