Klausureinsichten im November 2020 - Exam Reviews in November 2020
Einsichten am 10. und 12. November 2020 in die Klausuren - Statistik I (vom 30.07.2020), -... [mehr]
bitte achten Sie in den nächsten Tagen verstärkt darauf, ob unsere Lehrveranstaltungen anders als... [mehr]
Derzeit können aufgrund der Corona-Krise leider keine Sprechstunden vor Ort angeboten werden. Wir... [mehr]
This module consists of two components, which are both required for a successful completion of this module:
a) Econometrics of Panel Data and Limited Dependent Variables (contact person: Prof. Dr. Uta Pigorsch – Chair of Economic Statistics & Econometrics)
Empirical economic research has become an important part of Economics and Business Administration. To answer empirical questions, a profound knowledge of the corresponding statistical methods and models is essential. This course offers an in-depth discussion of the fundamental multiple linear regression model, the prevalent problem of endogeneity and solutions thereof, as well as the main estimation and inference methods for analyzing panel data and limited dependent variables, such as discrete choice data (e.g. whether a person is employed or unemployed), count data (e.g. the number of car traffic deaths or the number of demanded health care services) and durations (e.g. duration of unemployment, life expectation).
b) Causal Inference and Research Design (contact person: Prof. Dr. Hendrik Jürges – Chair of Health Economics and Management)
Most economic and social policy questions can only be answered in a fruitful manner by causal analyses, i.e. by answering “what if” questions. This course introduces the counterfactual causal model as the leading conceptual framework to understand and analyze causal questions as well as the related core methods of applied microeconometrics: multiple regression, matching, instrumental variables, differences-in-differences, and regression discontinuity designs.
For further information and news concerning this part of the module see LINK
Familiarity with the simple linear regression model on the level of an undergraduate course in Econometrics is recommended.
Alternatively, the Refresher Course in Basic Statistics and Econometrics can be attended, which is offered as a block course at the beginning of the semester.
Course language: English
Lecture Component a) (2 SWS):
November 5, 2020
Thursdays, 04:00-06:00pm, Uni@Home, cf. StudiLöwe: WIR022008
Lecture Component b) (2 SWS):
November 4, 2020
Wednesdays, 08:00-10:00am, Uni@Home, cf. StudiLöwe: WIR010007
Exercises (2 SWS):
Biweekly alternating between the components a) and b) and
starting with a joint session on an introduction into the statistical program R on November 2, 2020, cf. StudiLöwe: WIR010008
Remark: the methods considered in both parts of the module Microeconometrics will be applied using the statistical program R. Thus, we strongly recommend the attendance of the first exercise session on November 2, 2020.
Moreover, we offer two optional R Tutorials:
R Tutorial (2 SWS) (offered by the Chair of Health Economics and Management)
Thursdays, 10-12am, cf. StudiLöwe: WIR010006