Summer School on Discovering Econometrics with “R”

Overview
Application Procedure
Contact
  • STARTING DATE:
    2014•08•04
    LOCATION:
    Maastricht

    “Big data” doesn’t necessarily mean great insights. Thorough data analysis is at the core of many innovations in business, economics and the sciences in today’s world. Econometrics can be described as the art of gaining new insights from complex data sets with model-driven thinking (meaning you confront data with ideas about how they are actually generated).

    This course, which will be held 4–14 August at the Maastricht University School of Business and Economics, aims to provide an accessible, practical and hands-on introduction to econometrics and its workhorse, regression analysis. To achieve this, we will (i) appeal to intuition more than rigour, (ii) explore and analyse real-world data sets, and (iii) use the non-commercial software R so you will be able to continue using it later on. (R is a free, object-oriented statistical programming language with a huge potential for the future; it is widely used in the social sciences, statistics, medicine, etc.)

    • If you do not tremble as soon as you see a number with decimals or an algebraic equation,
    • if you understand there may be an interesting difference between a mean and a median,
    • if you wonder whether it is true that you can prove anything with statistics and want to understand how …

    … then this course is for you.

    You should be computer-literate, know basic algebra and statistics, and have an investigative mind. You will learn and apply such core concepts as sample data, population assumptions, regression models, estimated effects, sampling distributions, standard errors, statistical and practical significance, hypothesis tests and Monte-Carlo simulation.

    The tuition fee is €750; students should budget for €375 per week.

    The application deadline is 1 July 2014

    For more information, or to apply, see the “Summer School on Discovering Econometrics with ‘R’” announcement on the UNU-MERIT website.