Basic Methods of Causal Inference Using Stata and Python (2)

Lecturer Prof. Dr. Lars HornufChair of Business Administration, esp. Finance and Financial TechnologyTU Dresden Date Presumably in April 2026 Room/Address Georg-Schumann-Bau, Room PC-Pool SCH A 200bFaculty of Business and Economics, TU Dresden Seminar content This course teaches some of the basic ideas and methods of causal inference. In particular, we will discuss and implement matching„Basic Methods of Causal Inference Using Stata and Python (2)“ weiterlesen

Basic Methods of Causal Inference Using Stata and Python (1)

Lecturer Prof. Dr. Lars HornufChair of Business Administration, esp. Finance and Financial TechnologyTU Dresden Date October 9 & 10, 2025 Room/Address Georg-Schumann-Bau, Room PC-Pool SCH B 247Faculty of Business and Economics, TU Dresden Seminar content This course teaches the fundamental ideas and methods of causal inference. For this purpose, the linear OLS model is first„Basic Methods of Causal Inference Using Stata and Python (1)“ weiterlesen

Design of Survey Studies

Lecturer Prof. Dr. Thomas GüntherChair of Business Administration, esp. Management Accounting and ControlTU Dresden Date March 6, 2025, 11:00 a.m. – 1:00 p.m. (opening session)March 20, 2025, 11:00 a.m. – 1:00 p.m. (Q&A session)April 3, 2025, 11:00 a.m. – 1:00 p.m. (preparation of the exposé) Room/Address Online Course with e-lectures Target group Researchers in all„Design of Survey Studies“ weiterlesen

Workshop – Difference-in-differences (DiD) modelling: theory, applications, and extensions

Lecturer Associate Professor Jordi McKenzieDepartment of EconomicsMacquarie University, Sydney, Australiajordi.mckenzie@mq.edu.au Date November 25, 202410:00 – 11:30 a.m. Room/Address Zoom-Meetinghttps://uni-leipzig.zoom.us/j/65873644263?pwd=TW9aUXRmVDNlRS9LNmUxK1dUZ0twUT09Meeting-ID: 658 7364 4263 Pasw: 476187 Description DiD modelling is an important tool for applied researchers. Employing a ‚quasi-experimental‘ approach, DiD aims to estimate causal treatment effects when randomised control trials (RCTs) are unavailable. While the basic 2×2„Workshop – Difference-in-differences (DiD) modelling: theory, applications, and extensions“ weiterlesen

Workshop – Applying Event Study Methodology in Marketing Research

Lecturer Dr. Ljubomir PupovacSenior Lecturer UNSW Business School, Sydney, Australial.pupovac@unsw.edu.au Date October 28, 20249:30 – 11:00 a.m. Room/Address Zoom-Meetinghttps://uni-leipzig.zoom.us/j/65873644263?pwd=TW9aUXRmVDNlRS9LNmUxK1dUZ0twUT09Meeting-ID: 658 7364 4263 Pasw: 476187 Description An event study is a commonly used method for estimating the impact of discrete events on a firm’s market value (i.e., firm performance). This method is also frequently applied in marketing research,„Workshop – Applying Event Study Methodology in Marketing Research“ weiterlesen

European and international sustainability reporting

Lecturer Dr. Josef BaumüllerTU Wienjosef.baumueller@tuwien.ac.at Date November 11-13, 2024with classes on November 11 & 12 from 9:00 a.m. to 5:00 p.m. and on November 13 from 9:00 a.m. to 3:30 p.m. Seminarlanguage German Room/Address TU Bergakademie Freiberg, Schloßplatzquartier, room 3.105 Seminar content The seminar will address the highly topical issue of sustainability reporting. National and„European and international sustainability reporting“ weiterlesen

Workshop – Introduction to the Gaussian copula approach to correct endogeneity bias

Lecturer Assoc. Prof. Jan-Michael BeckerBI Norwegian Business School, Oslo, Norwayjan-michael.becker@bi.no Date November 4, 202410:00 – 11:30 a.m. Room/Address Zoom-MeetingMeeting-ID: 658 7364 4263Pasw: 476187 Description This short workshop introduces the Gaussian copula approach to addressing endogeneity issues, as developed by Park and Gupta (2012). The workshop will cover the basic theoretical foundations of the method, focusing„Workshop – Introduction to the Gaussian copula approach to correct endogeneity bias“ weiterlesen

Advanced Integer Programming 

Lecturer Professor Alexandra M. NewmanColorado School of Mines Date August 9 & 12, 2024with classes at 9 a.m. to 12 p.m. & 1 p.m. to 4 p.m. each day Room/Address TU Dresden Georg Schumann-Bau (SCH A 105) Target group Doctoral students in business and economics, mathematics, and/or operations research Seminar content This two-day workshop will introduce PhD„Advanced Integer Programming „ weiterlesen

Einführung in R: Analyse und Programmierung

Lecturer Dr. Christian Ullerich Date July 25 & 26, 2024 Room/Address TU DresdenGeorg-Schumann-Bau (SCH A 200b) Target group Promovierende der BWL und der Wirtschaftsinformatik Seminar content Das von Dr. Christian Ullerich gehaltene Seminar richtet sich primär an Teilnehmer mit ersten Erfahrungen in R. Diese sollen im Rahmen des Seminars erweitert und durch Programmierübungen vertieft werden. Im„Einführung in R: Analyse und Programmierung“ weiterlesen

Basic Methods of Causal Inference Using Stata and Python (2)

Lecturer Prof. Dr. Lars HornufTU Dresden (Chair of Business Administration, esp. Finance and Financial Technology) Date September 19 & 20, 2024with classes at 9:00 a.m. – 12:30 p.m. and 1:30 p.m. – 5:00 p.m. (Day 1) and 9:00 a.m. – 12:30 p.m. (Day 2) Room/Address TU Dresden, Faculty of Business and EconomicsGeorg Schumann-Bau (PC-Pool SCH A„Basic Methods of Causal Inference Using Stata and Python (2)“ weiterlesen