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QTEM summer school

FEP - Stata Econometrics Winter School


20 Jan 2020 - 24 Jan 2020

Porto (Portugal)


Our sixth annual Stata Econometrics Winter School runs in Oporto, Portugal between 20-24 January 2020.

This series of one-day short courses are jointly organised with the Faculdade de Economia da Universidade do Porto. The School aims to provide the full set of tools and techniques that any modern applied economist needs to know. Participants will learn the techniques properly using Stata statistical software.

    Who Should Attend?

    Academic Staff, Masters / PHD students and professionals that need to analyse data. The courses aim to offer an effective way to reach an advanced level of econometric analysis. Therefore, in order to get the most out of the course, basic knowledge of statistics and econometrics is required.

    All courses will be delivered in English.

    Course outline

    The courses that comprise the 2020 Stata Winter School are:

    • Day 1: Introduction to Stata
    • Day 2: Data Analysis, Linear Regression, and Spatial Econometrics
    • Day 3: Linear Panel Data Models
    • Day 4: High-dimensional fixed-effects & Managing Output Files
    • Day 5: Introduction to programming in Stata


    Day 1 - Introduction to Stata No prior knowledge of Stata required. Knowledge of using other statistical software is an advantage but not necessary. Day 2 - Data Analysis, Linear Regression, and Spatial Econometrics Prior knowledge of Stata is not essential but very helpful. Day 3 - Linear Panel Data Models Basic knowledge of Stata and panel data models. Day 4 - High-dimensional fixed-effects & Managing Output Files A basic understanding of Stata and familiarity with regression analysis are required. Day 5 - Introduction to Programming in Stata Previous working experience in Stata is expected, as well as an interest in programming.

    Fees QTEM students

    See online pricing options.


    Register by 15 January 2020.

    Other information

    All information can be found here:

    ECTS equivalent


    Local credits

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    Deadline for subscription: 15 Jan 2020

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