Stata Winter School

Stata Winter School 495 € HT par personne

Sessions modulables
1 à 4 jours
31 janv. au 3 fév. 2017



Sébastien Fontenay
& Vincent Vandenberghe, Economists at UCL-IRES



RITME invites you to attend the 2016 Stata Winter School in Brussels. The Winter school comprises four courses on data management and analysis, delivered by experienced Stata users/economists from UCL. 


The Winter school represents a unique opportunity for students, academics and professionals to discover the potential of the internationally used software Stata and expand their skills in data management and statistical analysis. Courses 1 and 2 will focus on Data Management and Analysis while courses 3 and 4 will illustrate via case studies how to assess socio-economic problems and evaluate policies using Stata 14 built-in commands, as well as user-written packages. The courses include practical sessions during which the participants will be invited to solve exercises and will be able to receive individualized guidance.



Course Outline

Course 1: Data management & tasks automation (January 31,2016)

  1. Using Stata effectively: understanding the syntax of written commands, creating well documented and reproducible analyses using do-files, looking for help
  2. Advanced data management: importing datasets in different formats (excel / text files), creating summary variables/datasets, dealing with string variables, changing the shape of data, combining files (complex merging)
  3. Introduction to programming: accessing stored results, using scalars and macros, creating loops

Course 2: Data analysis & results export (February 1, 2017)

  1. Exploratory analysis: creating complex graphs, building flexible tables of summary statistics, testing statistical hypotheses
  2. Regression analysis: multiple linear regression, binary outcome models (logit/probit), including qualitative predictors, handling interactions, computing marginal effects
  3. Exporting results: creating automatically updated output tables (in Word or Excel documents) for descriptive statistics and regression results

Course 3: Advanced data analysis - Panel Data Models (February 2, 2017)

  1. Linear unobserved effects models
  2. Fixed effects: first differencing, mean centering, assesing the relevance of FE
  3. Random effects
  4. Hausman and Mundlak tests
  5. Beyond fixed effects using panels

Course 4: Advanced data analysis - Policy evaluation (February 3, 2017)

  1. Treatment effects with non-experimental data using Stata treatment- effects commands
  2. Propensity score matching
  3. Difference-in-Difference estimators: the basic estimators, adding controls, relaxing the common trend assumption with applications to economic and epidemiology data sets

The courses are designed for professionals / researchers / students with basic knowledge of statistics (courses 1/2) and econometrics (courses 3/4). The courses will be taught in English. The courses will be taught in English. It will take place in our offices in Brussels. 

Cost per participant:


one day: 700 euros VAT excl.

two days: 1300 euros VAT excl.

three days: 1890 euros VAT excl.

Four days: 2380 euros VAT excl.


one day: 495 euros VAT excl.

two days: 940 euros VAT excl.

three days: 1485 euros VAT excl.

Four days: 1685 euros VAT excl.

Terms & conditions

Academics registrations : Attendees must provide proof of academic status at the time of booking to qualify for academic registration rate.

Cost includes course materials, lunch and refreshments. 

The attendees are provided with temporary licences (current version) for the Stata software used in the course and will be instructed to download and install the software prior to the start of the course. (Alternatively, laptops can be hired. Please contact us for more information).

The number of attendees is restricted. Please register early to guarantee your place.
Registration closes 14-calendar days prior to the start of the course.

Formation sur site

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Date Nombre de places réservées Réservation
Du mardi 31 janvier 2017 au vendredi 3 février 2017 0 / 15 Réserver