Courses

An introduction to State-Space models and the Kalman filter in EViews

9 October 2019 Frankfurt am Main 1 day (9th October 2019 - 9th October 2019) EViews

Our course An introduction to State-Space models and the Kalman filter in EViews introduces the state-space representation and its estimation via the Kalman filter.

School on Data Science and Causal Modelling for Big Data in Health and Medical Research

14 - 17 October 2019 Cass Business School 4 days (14th October 2019 - 17th October 2019) Stata

The objective of this summer school is to train participants in data science, and causal modelling and inference for health and medical big data. The main subjects that the course will cover include: (i) identification of the main sources of administrative and clinical data; (ii) management and manipulation of these data using Stata; (iii) correct application of machine learning and data mining techniques; (iv) accurate application of causal inference methods, via both counterfactual and structural modelling; (v) ex-post cost-benefit analysis for health policy programs.

Panel Data Methods and Factor Models with EViews

21 - 22 October & 13 - 14 November 2019 Cass Business School 2 days (21st October 2019 - 14th November 2019) EViews

This two-day course will explore two important topics in Econometrics; Panel Data estimation and the use of factor models in economic forecasting and analysis.

Introduction to Stata (CEST Time)

25 October 2019 Warsaw University, Department of Economics, ul.Długa 44/50, Warszawa Half day (25th October 2019 - 25th October 2019) Stata

This course provides basic concepts of data management and how to do it efficiently using Stata. We provide several examples and use learning by doing techniques. The course focuses on available Stata commands and additional resources provided by the Stata-users community.

Macroeconomic Density Forecasting & Nowcasting (UK)

28 - 30 October 2019 Cass Business School 3 days EViews

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.

Advances in Causal Inference using Stata

28 - 29 October 2019 Cass Business School, Bunhill Row, London EC1Y 8TZ 2 days (28th October 2019 - 29th October 2019) 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.

Macroeconomic Density Forecasting & Nowcasting (EST)

4 - 6 November 2019 New Horizons, Computer Learning Centre, New York City, USA 3 days (4th November 2019 - 6th November 2019) EViews

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.

What Sample Size do I need? With Stata

25 November 2019 Cass Business School 1 day (25th November 2019 - 25th November 2019) Stata

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 statistical hypothesis tests.

An Introduction to Machine Learning using Stata (EST Time)

9 - 11 December 2019 New Horizons, Computer Learning Centre, New York City, USA 3 days (9th December 2019 - 11th December 2019) Stata

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 form row, 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.

Multivariate Analysis with Stata

29-30 April 2019 Cass Business School 2 days (29th April 2019 - 30th April 2019) Stata

This course provides a practical introduction to the analysis of high dimensional data, consisting of correlated variables. Many scientific disciplines make use of such techniques for investigating and better understanding large datasets.

Vector Autoregression (VAR) Modelling using EViews (UK)

1 - 3 May 2019 Cass Business School 3 days (1st May 2019 - 3rd May 2019) EViews

The course will cover: stationary VARs, starting from the basics and tackling more advanced techniques such as dealing with over-parameterisation via Bayesian estimation; non stationary VARs and Johansen approach to cointegration; and structural VARs, and what can be done in EViews 11, will also be explored.

An Introduction to Machine Learning using Stata (UK Time)

13-15 May 2019 Cass Business School 3 days (13th May 2019 - 15th May 2019) Stata

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.

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