Vom 16. bis 19. September 2019 führen die Professoren Georg von Graevenitz (Queen Mary University of London) und Stefan Wagner (ESMT Berlin) den seit vielen Jahren in unserem ProDok-Angebot sehr erfolgreichen und bereits zum zweiten Mal in diesem Jahr stattfindenden Kurs „Applied Regression Analysis” an der Ludwig-Maximilians-Universität München durch, zu dem wir Sie herzlich einladen.
Abstract
This course will provide participants who have basic skills in statistics and econometrics with an introduction to current core methods used in the analysis of observational, experimental and quasi-experimental data. The methods covered are widely used in economics and increasingly also required for good publications in top management journals. The aim is to cover theory and selected applications, but more importantly to introduce participants to the use of statistical software that will allow them to apply the methods discussed in the course to data.
This course covers important methods used in the multivariate analysis of data. The course revisits basic concepts of the linear regression model and its properties and covers selected advanced topics such as the analysis of duration data and (quasi) experimental designs as well as methods to deal with the problems of endogeneity and sample selection. The theoretical basis of these methods is discussed but the focus of the course is on the application of the methods to data sets. Applications will be studied with the help of data provided by the lecturers and with reference to recent publications.
After the course, participants will…
- have a basic understanding of the theoretical underpinnings of multiple regression models.
- be able to apply regression methods to the investigation of economic relationships and processes.
- understand the econometric methods, approaches, ideas, results and conclusions met in the majority of economic books and articles.
- be aware of common pitfalls and mistakes to avoid when conducting regression analysis.
- be able to use the software program STATA to carry out empirical analysis based on regression analysis.
Anmeldefrist: 19. August 2019
Interessierte können sich über das elektronische Anmeldeformular https://vhbonline.org/veranstaltungen/prodok/anmeldung/ oder per E-Mail an prodok@vhbonline.org anmelden. Unter dem Link finden Sie außerdem die Informationen zur Anmeldegebühr.
Hier erhalten Sie eine Übersicht über das VHB-ProDok Kursangebot. Alle weiteren Informationen zu VHB-ProDok finden Sie außerdem unter http://prodok.org. Für Rückfragen steht Ihnen die Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.