Introductory Econometrics Using Stata

About

During the course students will make use of the statistical software package Stata to estimate and evaluate econometric models. It will be an intensive course of lectures and tutorials.

The course will be taught on campus. Only if a student is unable to be present on campus, they may submit a motivated request for an online alternative (contact details on the right). Each request will be assessed individually. It is important to note that the on-campus course and the online alternative take place concurrently, requiring active participation in either format. The course fee will remain unchanged.

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. First, 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. There will be an exam towards the end, the date will be shared during the course.

Course leader

Dr. Kattia Moreno Cueva

Target group

Prospective graduate students of the Utrecht University. The course is only open for prospective Master students of the Utrecht University School of Economics. The course is only open to prospective students of one of the master's programs of Utrecht University School of Economics.

Fee info