Delivered by: Dr. Malvina Marchese, 17 - 18 August 2020
Struggling to write your dissertation with 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.More information
Presented by: Dr. Austin Nichols, 10th August 2020
Participants will be introduced to Stata and causal inference using practical examples. The fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques. For more information click below.More information
Presented by: Dr. Andrea Carriero (Queen Mary, University of London), 10 - 11 August 2020
This is the perfect course to bring you up to date with the latest methods in the Forecasting profession. Click the link below for more information.More information
Presented by Dr. Malvina Marchese (CASS Business School, London), 13 - 14 August 2020
Our web-based 'introduction to Panel Data Analysis with Stata' course provides an overview of the most-used panel date techniques and is ideal for the beginner/intermediate level user who wants to learn how to implement panel data estimation with Stata commands. Click below for more information.More information
The 26th Annual Stata UK Conference will officially be running online this year.
Abstract submission is now open, from which a subset will be chosen for either a short (15 minutes) or a long (25 minutes) presentation (both to be followed by 5 minutes for questions). Click below to find out more information on how to get involved.More information
Use Stata to easily import the latest official COVID-19 news from Johns Hopkins University
The command creates a table that contains the date, the number of confirmed cases, the number of deaths, and the number recovered, plus a calculated variable named 'newcases' - the difference between confirmed cases for two contiguous days.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.
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
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.
Do you have course specific questions? Email our team firstname.lastname@example.org. If you have course content specific questions, you are welcome to reach out to the course tutor here: email@example.com.View full course details
Presented By: Dr. Austin Nichols
This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata.
Participants will be introduced to Stata and causal inference using practical examples. The fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniquesView full course details
Presented By: Dr. Malvina Marchese (CASS Business School, London)
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.View full course details
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.View full course details
Presented by Prof. Christopher F Baum, Boston College, USA and Dr. Vincent O'Sullivan, University of Lancaster
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.View full course details