Online Courses

Presented By: Laurent Ferrara (Skema Business School) & Matteo Mogliani (Banque de France)

Forecasting in a time-series framework arises numerous issues, such as the choice of the model, the variables to be used, and the appropriate testing strategy. Recently, the collection and the availability of high-dimensional data has been posing new challenges to applied economists that classic regression approaches cannot address.

This course is designed to cover the basic topics in macroeconomic forecasting as well as advanced topics in Machine Learning for time-series analysis.

THIS COURSE IS NOW SOLD OUT! To learn more about Machine Learning using Stata, join us for our next course: Machine Learning for Economists and Policy Makers: Prediction, Classification and Causal Effects

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.

Presented By: Dr. Malvina Marchese (Cass Business School, City, University of London)

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.

Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.

Presented By: Prof. Lorenzo Trapani & Dr. Malvina Marchese (Cass Business School)

The 2020 EViews Summer School comprises a series of 5 1-day courses running consecutively.

The courses are to be delivered by Prof. Lorenzo Trapani of the University of Nottingham. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 11 software.

Presented By: Dr. Giovanni Cerulli, IRCrES-CNR

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.

Presented By: Dr. Malvina Marchese (Cass Business School, City, University of London)

Our web-based Volatility modelling in EViews course provides a complete introduction to modelling and forecasting volatility models in EViews. It provides a sound and practical understating of the GARCH model and its more advanced extensions such as the EGARCH, the TARCH, the APARCH and the IGARCH models used in time series and financial applications with a strong background in forecasting.

This course targets researchers, practitioners and policy makers who are interested in gaining an in-depth knowledge on how to model volatility in time series' and how to use the GARCH class of models in their current or future assignments

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.

Presented by Prof. Christopher F Baum, Boston College, USA and Dr. Malvina Marchese, Cass Business School, London

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.

Presented By: Dr. Malvina Marchese (Cass Business School, City, University of London)

At times of great uncertainty for financial markets, this course provides participants with an understanding of the time series methods involved in modelling and forecasting financial markets volatilities. Participants will learn how to build, estimate and assess alternative models of volatility of financial time series. Each concepts will be explained from an econometric perspective and by means of many examples and applications in Eviews or Oxmetrics

Presented By: Dr. Lorenzo Trapani (Cass Business School)

The 2020 EViews Summer School comprises a series of six 1-day courses running consecutively, with theory and practical applications. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 11 software.

The summer school will run for 6 consecutive days for four hours per day in two sessions per day: morning 10-12 GMT and afternoon 2-4pm GMT. The morning sessions will discuss theory and the afternoon sessions will offer many practical applications in EViews

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.

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.