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 .

Causal Inference using Stata

10th August 2020 (9am-11am & 12pm-2pm, Eastern Standard Time) Online 1 day (10th August 2020 - 10th August 2020) Stata

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 techniques

Macroeconomic Density Forecasting & Nowcasting

10 - 11 Aug 2020 (10-12pm & 2-4pm London time) Online 2 days (10th August 2020 - 11th August 2020) Stata

Presented By: Dr. Andrea Carriero (Queen Mary, University of London)

Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession.

Introduction to Panel Data Analysis with Stata

13 - 14 August (8 hours, 2020) Online 2 days (13th August 2020 - 14th August 2020) Stata

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.

How to Write Your Dissertation with Stata

17 - 18 August 2020 Online 2 days (17th August 2020 - 18th August 2020) 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.

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.

  • How to structure your dissertation
  • Abstract and introduction in depth discussion and examples
  • How to get a smart literature review –discussion of successful examples
  • Build, estimate and forecast from linear regression, time series and panel models using STATA
  • Understand and critically present and discuss your results

Do you have course specific questions? Email our team info@timberlake.co.uk. If you have course content specific questions, you are welcome to reach out to the course tutor here: malvinamarchese@timberlake.co.uk.

Stata Programming Workshop: Introduction and Advanced

3 & 4, 8 & 9 September 2020 Online 4 days (3rd September 2020 - 9th September 2020) Stata

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

This course will be delivered as an online webinar, via Zoom.

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.

Advances in Causal Inference using Stata

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

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 Linear Mixed Models using Stata (online)

30 Sept - 1 Oct 2020 Online 2 days (30th September 2020 - 1st October 2020) Stata

Presented by Sandro Leidi & James Gallagher

This course is running online, via Zoom.

Mixed models are a modern powerful data analysis tool to analyse clustered data, typically arising in studies where the levels of a factor are a random selection from a wider pool, or in the presence of a multi-level nested structure with different levels of variability.

Potential benefits of mixed models are greater generalisability of results and accommodation of missing values. In particular, mixed models have been used in clinical trials to analyse repeated measures, where measurements taken over time naturally cluster according to patient.

The course will illustrate medical and health related applications of mixed modelling, such as multi-centre trials, cross-over trials, and the analysis of repeated measures. The course focuses on the linear mixed model, assuming normally distributed data, and on how to fit it and interpret its results.

Only essential theoretical aspects of mixed models will be summarised.

Advances in Causal Inference and Program Evaluation using Stata (ONLINE)

4 - 5 October 2020 Online 2 days (4th October 2020 - 5th October 2020) Stata

Presented by: Dr. Giovanni Cerulli

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.

It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard treatment setting poses limitations.

More specifically, the course will focus on these approaches: (i) Difference-in-differences (DID) with time-varying and time-fixed binary treatment; (ii) the Synthetic Control Method (SCM) for program evaluation, suitable when datasets on many times and locations are available; (iii) models for multivalued and quantile treatment effect estimation.

After attending the course, the participant will be able to setting up and managing a correct evaluation design using Stata, by identifying the policy framework, the appropriate econometric method to use interpreting correctly the results. The course will provide various instructional examples on real datasets.

What Sample Size do I need? With Stata (online)

8 October 2020 Online 1 day (8th October 2020 - 8th October 2020) Stata

Presented by James Gallagher and Sandro Leidi

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.

An Introduction to Machine Learning using Stata Co Developed with Lancaster University

26-27 October 2020 Online 2 days (26th October 2020 - 27th October 2020) Stata

Presented By: 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.

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 Dublin, Ireland 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.

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