Courses

Machine Learning for Economists and Policy Makers: Prediction, Classification and Causal Inference

16 & 17 December 2019 Cass Business School 2 days (16th December 2019 - 17th December 2019) Stata

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.

Stata Econometrics Winter School 2020

20-24 January 2020 Faculty of Economics - University of Porto - CEF.UP 5 days (20th January 2020 - 24th January 2020) Stata

Join us for our sixth annual Stata Econometrics Winter School taking place in Oporto, Portugal. The school is organised in partnership FEP and CEF.UP with comprises five individual Stata courses providing attendees with the flexibility to register only for the courses that they find most relevant to their research interests.

The individual courses will cover: Introduction to Stata; Data Analysis, Linear Panel Data Models, High-dimensional fixed-effects & Managing Output Files and an Introduction to Programming in Stata, delivered by Prof. Kit Baum (Boston College).

VAR and VEC Models with EVews (Online Course)

25 March 2020 Online Half day (25th March 2020 - 25th March 2020) EViews

Our online VAR Models in EViews course offers a complete introduction to VAR and VEC models and their practical use in EViews. It provides a data oriented and practical understating of restricted and unrestricted VARs, Bayesian VARs, cointegrated VARs and VEC models and forecasting with VARs.

Panel Data Models and Methods in EVews (Online Course)

6 April 2020 Online Half day (6th April 2020 - 6th April 2020) EViews

Our online Panel Data Econometrics with EViews course provides a complete introduction to Panel Data econometrics. All the traditional static and dynamic econometric techniques are discussed (fixed effect, random effect, GMM, GLS) together with some more advanced topics, such as serial correlation, stationarity and cointegration.

Macroeconomic Density Forecasting & Nowcasting (EST)

4 - 6 November 2019 New Horizons, Computer Learning Centre, New York City, USA 3 days (28th October 2019 - 30th October 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.

Panel Data Methods and Factor Models with EViews

13-14 November 2019 Cass Business School 2 days (13th November 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.

Macroeconomic Density Forecasting & Nowcasting (UK)

6 - 8 November 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.

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.

Time Series Analysis & Modelling Using Stata

18 - 19 July 2019 New Horizons, Computer Learning Centre, New York City, USA 2 days (18th July 2019 - 19th July 2019) Stata

This course focuses on the fundamental concepts required for the analysis, modelling and forecasting of time series data. The course provides an introduction to the theoretical foundation of time series models and a practical guide to the use of time series analysis techniques implemented in Stata 15.

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