Vorlesungsverzeichnis

Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.

Veranstaltungen von Prof. Dr. Christian Pfeifer


Lehrveranstaltungen

Volkswirtschaftliches Forschungskolloquium (Kolloquium)

Dozent/in: Luise Görges, Boris Hirsch, Mario Mechtel, Christian Pfeifer, Joachim Wagner, Christoph Wegener, Thomas Wein

Termin:
 wöchentlich | Dienstag | 12:15 - 13:45 | 02.04.2024 - 05.07.2024 | C 5.310 Seminarraum | Liebe Frau Borodin, für das Forschungskolloquium bitte Raum C 4.215 auf dem Flur des Instituts zuweisen. Danke!

Inhalt: Vorträge zu laufenden Forschungsarbeiten von Promovierenden und Wissenschaftlern des Instituts sowie von auswärtigen Gästen. Die Referenten sollten möglichst min. eine Woche vor dem Vortrag ihr Papier an Boris Hirsch schicken, der es dann für alle Teilnehmer zugänglich in MyStudy hochladen wird. Hierdurch sollen tiefergehende Diskussionen der Papiere ermöglicht werden. * im Seminarplan: Externe Gäste, mit denen wir vermutlich am Dienstagabend Essen gehen werden, wozu alle Interessierten gerne mitkommen können (Info bei Boris Hirsch).

"Happiness Research": An empirical approach towards the understanding of satisfaction and well-being of individuals and regions (Seminar)

Dozent/in: Christian Pfeifer

Termin:
 wöchentlich | Montag | 14:15 - 15:45 | 02.04.2024 - 05.07.2024 | C 3.121 Seminarraum

Inhalt: Course description: This course is part of the complementary studies (Komplementärstudium “Medialitätsorientierte Zugänge zu den Sozialwissenschaften”). The teaching and examination language is German. But all materials (including slides, literature, online sources) are in English so that English speaking students will be able to follow the course (you can also answer the test and give the presentation in English). German speaking students must be able to deal with this English material and the German teaching language will help you with that. Although “Happiness research” is interdisciplinary and empirically driven, the course has a focus on the literature from economics. But no specific knowledge from economics or econometrics is necessary for the course. The first part of the course is lecture-based and gives an introduction to happiness research, its use for science and policy as well as some conceptional issues. Moreover, students are shown with real world data for Germany how aggregated happiness statistics are generated and how regression analyses are conducted in a statistical software package. The first part concludes with some examples from the economics literature about the impact of income, inflation, unemployment, conspicuous consumption, floods and droughts, air pollution, and terrorism on individual satisfaction and well-being. As part of the combined examination (KWA), students have to write a short test (45 minutes) about the first part, which accounts for 70% of the total grade. In the second part of the course, students have to present “Happiness Reports” in groups, which also compare nations and regions. Whereas the “World Happiness Reports” are more explicitly related to happiness and satisfaction, the OECD reports “How’s life? Measuring well-being” take a broader perspective on well-being, of which satisfaction is only one measure. Each group (4-6 students) has to present one report in one session (approx. 60-70 minutes + discussion in class) with a short introduction and conclusion; but the main focus should be on the presentation of the chapters about specific topics. The jointly graded group presentations account for 30% of the total individual grade. Please see the course outline and material for more information.

Applied Microeconomics II: Labor Economics (Vorlesung/Übung)

Dozent/in: Christian Pfeifer

Termin:
 wöchentlich | Montag | 10:15 - 13:45 | 02.04.2024 - 05.07.2024 | C 3.121 Seminarraum

Inhalt: Course description: This course in labor economics is compulsory for the Major Economics as a component of the module “Applied Microeconomics II” (4th term). In there, microeconomic theory from previous semesters is applied to the labor market. The first part of the course includes decisions of workers and firms about labor supply and labor demand, the equilibrium in competitive and non-competitive labor markets, and some thoughts about wages and non-monetary job characteristics. The second part of the course discusses different topics such as works councils and unions, incentives and remuneration schemes, human capital, and discrimination in the labor market with a focus on gender gaps. The presented theories are accompanied by applications, numerical examples, statistics, home assignments, general discussion points for repetition, class and group discussions. Please see the course outline for more information about the content of the course. Mandatory literature: Borjas, 2013, Labor Economics, 6th edition, McGraw-Hill [B-Chapter]. Part 0: Introduction [B1] Part 1: Basic Labor Market Models 1.1. Labor supply [B2] 1.2. Labor demand with perfect competition [B3] 1.3. Labor market equilibrium [B3.9+3.10, B4, B12.2+12.4] 1.4. Non-competitive labor market models [B4.9+4.10] 1.5. Compensating wage differentials [B5] Part 2: Topics 2.1. Works councils and unions [B10] 2.1.1. Works councils 2.1.2. Unions 2.2. Incentives and remuneration schemes [B11] 2.2.1. Agency theory and the need for incentives 2.2.2. Input based remuneration and efficiency wages 2.2.3. Piece rates and performance pay 2.2.4. Promotions and tournament theory 2.2.5. Seniority and deferred compensation schemes 2.3. Human capital [B6] (Outlook) 2.3.1. Human capital vs. signal 2.3.2. Schooling 2.3.3. On-the-job training 2.4. Labor market discrimination [B9] (Outlook) 2.4.1. Race and gender discrimination 2.4.2. Discrimination theories: taste, statistical, crowding, market power 2.4.3. Measuring discrimination Note that 2.3. and 2.4. are not relevant for the exam due to time restrictions. Nevertheless, the slides have been uploaded for the interest of students. Human capital and discrimination will be further discussed in my empirical research project (LFP) in the winter term.

Mikroökonomik (Major BWL) (Vorlesung) (Vorlesung)

Dozent/in: Christian Pfeifer

Termin:
 wöchentlich | Dienstag | 14:15 - 15:45 | 02.04.2024 - 07.05.2024 | C HS 4
Einzeltermin | Di, 14.05.2024, 14:15 - Di, 14.05.2024, 15:45 | W HS 4 | Rotes Feld / Einzeltermin - Raumwechsel wegen Zukunftsfestival
wöchentlich | Dienstag | 14:15 - 15:45 | 21.05.2024 - 05.07.2024 | C HS 4

Inhalt: Das Ergänzungsmodul „Mikroökonomik“ im Major BWL besteht aus einer Präsenzveranstaltung mit Vorlesung und zusätzlicher Übung. Basis sind die in MyStudy hochgeladenen ausführlichen Folienskripte sowie die angegebene Literatur (insbes. das Lehrbuch „Microeconomics and Behavior“ von Frank und Cartwright ist zwingend erforderlich zum Selbststudium). Pflichtlektüre (!): Robert H. Frank and Edward Cartwright, Microeconomics and Behavior, London etc.: McGraw-Hill Education, 2013. [FC-Chapter] Part I: Introduction 1. Introduction [FC1 + Preface] 2. Supply and demand [FC2] Part II: Theory of consumer behavior 3. Rational consumer choice [FC3] 4. Individual and market demand [FC4] Applications of rational choice and demand theories [FC5] (short, self-study) Part III: Theory of the firm and market structure 5. Production [FC9] 6. Costs [FC10] 7. Perfect competition [FC11] 8. Monopoly [FC12]

Replication studies in (quantitative) empirical social science (Seminar)

Dozent/in: Christian Pfeifer

Termin:
 wöchentlich | Mittwoch | 12:15 - 13:45 | 02.04.2024 - 05.07.2024 | C 3.121 Seminarraum

Inhalt: Good empirical research in science, including Economics and other social sciences, should be replicable. Replication studies usually focus on the robustness of empirical findings. They should not be too narrow and rather scientific than pure replications, i.e., they can use (a) different methods and same data or (b) same methods and different data (different time or different population); but no pure reproductions (same method and same data). Typically, such replications can be research notes. The authors should start by briefly stating literature, theory, methods, data, and findings of the replicated paper, before starting the own replication, and finishing with a comparison of the results as well as a short discussion. Students select a replicable journal paper and conduct an own replication study. After the first meeting, in which students are introduced to replications (focus on economics and related fields) and the organization of the course, students have to search for an empirical paper from an international top journal (ranked in SSCI), which can be replicated. To be replicable, a selected paper should ideally have stored the statistical files (and sometimes even the data) on the journal homepage (or related repositories). These papers are shortly verbally discussed in the class to check their fit for a replication. Then students conduct their own empirical replication study for their selected journal paper, which will be presented in class and in a written research note.