Join us for our fourth 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: Introduction to Stata, Regression analysis & causality, Panel Data, Discrete Choice Models and Count Data Models.
24th - 29th July 2018
Our 2017 Econometrics Summer School, Cambridge will take place on 24-29 July 2018 and will be held at University of Cambridge. The School comprises 3x 2-day econometrics short courses delivered by leading Econometricians from the University of Cambridge: Prof. Andrew Harvey, Prof. Sean Holly and Dr. Melvyn Weeks.
The three courses comprising the School are - Microeconometrics / Time Series Analysis & Modelling / Macroeconomic Modelling & Forecasting.
COURSE DATES: 22nd - 24th September 2018
Our Stata Autumn School comprises a series of six individual Stata courses that provides attendees with the flexibility to register only the courses that they find most relevant to their research interests. The individual courses will cover:
Missing Data / Survey data / Survival Analysis / Hierarchical Data / SEM / Network meta-Analysis.
COURSE DATES: 2nd - 6th July 2018
COURSE DATES: 26th January 2018 | 4th May 2018
This course will show how to save time and avoid errors. you discover tips and tricks to get your programs to check for various potential problems, so that you software carries on working with new data with the need for less maintenance.
The course runs from 13.00 - 17.00 (GMT)
COURSE DATES: 5th - 8th February 2018
This 4-day course will focus on the fundamental concepts required for the analysis, modelling and forecasting of time series data using Stata.
COURSE DATE: 12th-13th February 2018
This two-day course will introduce participants to a number of estimators and concepts that represent central aspects of microeconometrics. The principle topics covered include static and dynamic panel Data models, the linear regression model, programme evaluation and treatment effects, and instrumental variable estimators.
COURSE DATES: 15th January 2018 | 2nd March 2018
This web-based half-day training course provides a complete introduction to Stata and is ideal for the new or beginner level user who wants to have a head start and learn how to use Stata efficiently.
The course introduces Stata’s most popular and useful commands and procedures to import, manipulate, transform and manage data as well as how to export results to commonly used file formats. Stata do-files, log files and also graphics are covered briefly in the final session.
COURSE DATES: 5th - 7th March 2018
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 the assumption of “selection on observables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, Selection models, Instrumental-variables approaches, Difference-in-differences, Regression discontinuity design
6th March 2018
Our web based Introduction to Time Series Analysis with Stata course provides an introduction to most important Stata’s Time Series Commands. The course is ideal for beginner/intermediate level user who wants to learn how to analyse time-series data and estimate univariate time-series models.
Course run time: 13.00 - 17.00 (GMT)
This course is based on the textbook S.Boffelli and G. Urga (2016), Financial Econometrics Using Stata. Stata Press Publication.
COURSE DATE: 7th - 9th March 2018
Stata programming is an opportunity for graduate students, academics, researchers and professionals to expand their knowledge of Stata. This 3-day course introduces programming skills to those who have never written a program in Stata.