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DTSTART;TZID=Europe/Berlin:20260427T103000
DTEND;TZID=Europe/Berlin:20260427T143000
DTSTAMP:20260413T185927
CREATED:20250822T081426Z
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UID:990000540-1777285800-1777300200@cgde-home.de
SUMMARY:Econometrics III
DESCRIPTION:Course type\nIWH-DPE Foundation Course\, CGDE First-year Course \nLecturers\nProfessor Dr Julia Schaumburg (Vrije Universiteit Amsterdam) and Professor Dr Sabrina Jeworrek (IWH and Otto von Guericke University Magdeburg) \nSummary\nThis is the third course of the first-year triple sequence in Econometrics. \nIn the first part\, students learn about maximum likelihood-based estimation and testing of parametric models. The general theory is discussed alongside examples of linear and nonlinear models. It also covers econometric models for binary outcomes\, including empirical examples from economics and business. \nIn the second part\, students are introduced into the statistical aspects of an experimental design and become acquainted with randomization techniques and power analyses. The major part of the lecture period\, however\, will be used to develop an understanding for how to handle an experimental dataset. Specifically\, students will learn how to test for treatment effects using parametric and non-parametric tests\, how (and when) to use regression analyses and what is special about repeated games and within-subject designs. \nSchedule\n13.04.2026          10:30-12:00 and 13:00-14:30      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n27.04.2026          10:30-12:00 and 13:00-14:30      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n12.05.2026          10:30-12:00 and 13:00-14:30      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n19.05.2026          10:30-12:00 and 13:00-14:30      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nContent\n1. Maximum Likelihood Estimation\n2. Binary Outcomes\n3a. Experimetrics: Experimental Design Issues\n3b. Experimetrics: Analysing the Data \nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to submit solutions for the assignments. \nStudents will receive a total of three problem sets\, each to be solved within two weeks. Course completion requires passing of all assignments. \nRequired Reading\n1. Maximum Likelihood Estimation\nMagnus\, J. (2021). Introduction to the theory of econometrics. VU University Press.\nHansen\, B. (2022). Probability and Statistics for Economists. Princeton University Press. \n2. Binary Outcomes\nHansen\, B. (2022). Econometrics. Princeton University Press. \n3. Experimetrics\nMoffatt\, P.G. (2015): Experimetrics: Econometrics for Experimental Economics. Palgrave: London.\nKraska-Miller\, M. (2013): Nonparametric Statistics for Social and Behavioral Sciences. CRC Press: Boca Raton.\nGerber\, A.S. & Green\, D. (2012): Field experiments: Design\, analysis\, and interpretation. W.W. Norton & Company\, Inc.: New York. \nRegistration\nPlease register for the course until March 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/econometrics-iii/2026-04-27/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:First-Year Courses
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