Courses

2019 Stata Winter School, London

Join us for our fifth annual Stata Winter School, comprising four 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: Data Management, Data Visualisation, Panel Data analysis.

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.

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 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).

Introduction to Health and Social Research with Stata

30 September - 2 October 2019 Dublin, Ireland 3 days (30th September 2019 - 2nd October 2019) Stata

This course is for professionals and researchers from all academic disciplines who are new to Stata. The course assumes only limited statistical knowledge and experience of using statistical software.

Data Management with 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.

High Dimensional Econometrics and Identification

1 - 3 July 2019 New Horizons, Computer Learning Centre, New York City, USA 3 days (1st July 2019 - 3rd July 2019) Stata

This three-day course will explore five important topics in high-dimensional econometrics: panel spurious regressions, estimation of autocorrelation parameter in a detrended large panel, change point estimation and testing in large panels, weak instrument problem in large panels, and incidental parameters problem in dynamic linear panels.

Automatic selection of explanatory variables with Stata

20 November 2019 Frankfurt am Main 1 day (20th November 2019 - 20th November 2019) Stata

Our Stata course Automatic selection of explanatory variables with Stata aims at introducing methods suitable to automatically select the relevant explanatory variables of linear regression models.

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.

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