Utrecht, Netherlands

Introductory Econometrics Using Stata

online course
when 12 August 2024 - 23 August 2024
language English
duration 2 weeks
fee EUR 300

Due to the current conditions around Covid-19, the course will be offered as an online course.

The course Introduction to Econometrics using Stata is in particular useful for students who lack a sufficient basic knowledge of statistics, regression analyses and/or Stata. During the course students will get an introduction to the statistical software package Stata that will be used to solve computer exercises. It will be an intensive course of ten days, for which the participants get during ten days online lectures, tutorials and Q&As.

Due to the current conditions of Covid-19, the course will be offered as an online course in 2020. It will be an intensive course of ten days, for which the participants get during ten days online lectures, tutorials and Q&As.

Regression analysis is an essential part of the toolkit of empirical economists. The aim of this intensive course is to provide an introduction to the linear regression model that is used in Econometrics. The course will refresh the principles of statistics, such as basic probability, statistical estimators, and statistical hypothesis testing. Next, it considers the multivariate linear regression model on many topics such as the Ordinary Least Squares estimator, the interpretation of the regression parameters, the standard error of the OLS-estimator, unbiased estimators, t-test and F-test, perfect multicollinearity, consequences of omitted variables, consequences of irrelevant variables, interaction effects, dummy variables, heteroskedasticity, time-series regression models, exogeneity and autocorrelation. The participants will gain further insight into these topics by Stata applications on data sets. On the final day of the course the participants will be tested on their knowledge.

Course leader

Prof. Wolter Hassink & Lotte Muller, MSc.

Fee info

EUR 300: Course fee
EUR 450: Housing fee (optional)

Register for this course
on course website