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Bachelor

Winter Sommer
Basismodul Mikroökonomik
(BW20.1 + BW20.4)
Vertiefungsmodul Innovationsökonomik
(BW20.2)
Seminar "Mikroökonomik"
(BW20.3)
 

Alle für die Veranstaltungen notwendigen Materialen werden auf Moodle bereitgestellt. Alle Studierenden, die in Friedolin zur Veranstaltung zugelassen sind, erhalten automatisch die Zugangsberechtigung zu dem Moodle-Raum. Loggen Sie sich hierfür bitte über die Moodle-Startseite mit Ihrem Login des Rechenzentrums ein.

Basismodul Mikroökonomik Show content

Termine (Winter 2019-20)

Vorlesung
Übungen
  • Gruppe 1
  • Gruppe 2
    • Matthias Hügel
    • Mittwoch, 10:15 - 11:45, Astoria Hörsaal - Unterm Markt 8
Tutorien
  • Gruppe 1
    • David Hammbartsumjan
    • Mo., 16 - 18 Uhr, HS 9, CZ3
  • Gruppe 2
    • David Hammbartsumjan
    • Fr., 10 - 12 Uhr, HS 9, CZ 3
  • Gruppe 3
    • Paul Setzepfand
    • Mi., 14 - 16 Uhr, HS 1, Fürstengraben 1 (UHG)
  • Gruppe 4
    • Paul Setzepfand
    • Fr., 08 - 10 Uhr, SR 314, CZ3
  • Gruppe 5
    • Isabel Runkel
    • Mi., 08 - 10 Uhr, SR 025, August-Bebel-Str. 4
  • Gruppe 6
    • Isabel Runkel
    • Do., 12 - 14 Uhr, SR 274, CZ3

Beschreibung

Die Veranstaltung Mikroökonomik befasst sich zunächst mit der Analyse der ökonomischen Entscheidungen von Unternehmen und Konsumenten. Hierzu zählen auf Seite der Unternehmen beispielsweise die Frage nach welchen Kriterien diese die Preise für ihre Güter festsetzen, welche Gütermenge sie produzieren und welche Produktionsfaktoren sie dafür einsetzen, mit welcher Marktmacht und mit welchen Strategien sie gegenüber ihren Konkurrenten und gegenüber Konsumenten auftreten. Auf der Seite der Konsumenten oder Haushalte interessiert, wie diese ihr Einkommen für konsumptive Zwecke einsetzen, wie sie ihre Arbeitskraft auf dem Arbeitsmarkt anbieten und ihre Ersparnisse auf dem Kapitalmarkt anlegen. Im Rahmen der Wohlfahrtstheorie erfolgt eine Bewertung der Markergebnisse und eine Analyse von Marktversagenstatbeständen. Neuere Entwicklungen aus der Netzwerk- und der Innovationsökonomik runden die Veranstaltung ab.

Gliederung der Vorlesung

  1. Einführung
  2. Produktionstheorie
  3. Haushaltstheorie
  4. Markt- und Preistheorie
  5. Wohlfahrtstheorie
  6. Neuere Entwicklungen

Literaturhinweise

  • Varian H., Grundzüge der Mikroökonomik, 8. Auflage, Oldenbourg 2011.
  • Bergstrom T.C., H. Varian, Übungsbuch zu Varian, Grundzüge der Mikroökonomik, 8. Auflage, Oldenbourg 2011.
  • Hanusch H., T. Kuhn, U. Cantner, Volkswirtschaftslehre 1, 6. Auflage, Springer 2002 (Kapitel 1-4, in Teilen Kapitel 5).
  • Dörsam P., Mathematik – anschaulich dargestellt – für Studierende der Wirtschaftswissenschaften, 15. Auflage, PD-Verlag 2010.
  • Chiang A.C., K. Wainwright, H. Nitsch, Mathematik für Ökonomen – Grundlagen, Methoden und Anwendungen, Vahlen 2011.

Klausur

Die Klausur findet am Di.,  03.03.2020, 08 - 10 Uhr in HS 1 + HS 2 + HS 3 statt.
Die regelmäßige Teilnahme an der Vorlesung sowie an den Übungen und vertiefenden Tutorien wird dringend empfohlen!

Vertiefungsmodul Innovationsökonomik Show content

Termine (Sommer 2020)

Vorlesung
  • Lehrender: Dr. Martin Kalthaus
  • Zeit: Dienstag, 14:15 – 15:45
  • Ort: HS 9, Carl-Zeiss-Straße 3
Übung
  • Lehrender: Dr. Martin Kalthaus
  • Zeit: Donnerstag, 12:15 – 13:45
  • Ort: HS 8, Carl-Zeiss-Straße 3

Beschreibung

Die Vorlesung führt in die Grundprobleme innovationsökonomischer Fragestellungen und Analysen ein. Zu diesem Zweck wird einerseits ein Überblick in das Schwerpunktfach Innovationsökonomik vermittelt, andererseits werden bereits erste Lösungsansätze und Analyseverfahren vorgestellt. Die Produktion von technologischem Wissen und dessen ökonomische Nutzung, die damit verbundenen unternehmerischen Entscheidungen und die Determinanten des Innovationserfolgs, die sich daraus ergebenden Effekte auf die Unternehmens- und Branchenentwicklung sowie auf die Entwicklung von Volkswirtschaften insgesamt werden sowohl theoretisch fundiert als auch anhand von empirischen Analysen und Fallstudien verständlich gemacht.

Gliederung der Vorlesung

Teil I: Einführung
1. Innovationsökonomik als ökonomische Disziplin
2. Wissenschaftsrevolution, industrielle Revolution(en) und technologische Entwicklung

Teil II: Grundbegriffe
3. Grundbegriffe: Das WAS, WIE, WER, FÜR WEN der Innovationsökonomik
4. Technologieindikatoren und deren Aussagekraft

Teil III: Theorie
5. Anreizbasierte (optimierende) Innovationstätigkeit
6. Know-how-basierte Innovationstätigkeit
7. Wachstum, technologischer Fortschritt und Spillovers

Teil IV: Politik
8. Grundbegriffe und Bedeutung der Technologiepolitik

Teil V: Innovationsökonomik als wissenschaftliche Disziplin
9. Theoretische Konzeptionen und Analytik in der Innovationsökonomik

Literaturhinweise

Vorlesungsbegleitende Literatur wird in der Veranstaltung bekannt gegeben.

Klausur

Fr., 07. Juli 2020, 14 - 16 Uhr (online)
Die regelmäßige Teilnahme an der Vorlesung und der vertiefenden Übung wird dringend empfohlen!

Seminar "Mikroökonomik" Show content

Termine (Winter 2019/20)

  • Im Wintersemester 2019/20 findet das Seminar nicht statt.

Beschreibung

Das Seminar wird jedes Wintersemester angeboten und richtet sich an Studierende im Bachelor. Es werden wechselnde Themen aus dem Bereich Mikroökonomik, Industrieökonomik und Innovationsökonomik angeboten. Hierbei werden aktuelle
Forschungsfragen und –problemstellungen in den jeweiligen Gebieten bearbeitet und eine Einordnung in die Literatur vorgenommen. Vorkenntnisse aus dem Basismodul Mikroökonomik bzw. dem Vertiefungsmodul Innovationsökonomik sind empfehlenswert.

  • Die Gesamtnote setzt sich folgendermaßen zusammen
    • Bewertung der schriftlichen Seminararbeit (40%)
    • Bewertung der mündlichen Präsentation (30%)
    • Korreferat zu einer Arbeit der anderen Teilnehmer (20%)
    • Mündliche Beteiligung an der Diskussion während des Seminars (10%)

Bitte befolgen Sie unsere allgemeinen Hinweise zum wissenschaftlichen Arbeiten.

Voraussetzungen

  • Mindestens eine Vorlesung des Lehrstuhls

Anmeldung

  • Zentrale Anmeldung, siehe http://www.wiwiss.uni-jena.de/Studium/Seminaranmeldung.html
  • Die Seminarplatzvergabe erfolgt am Ende des Sommersemesters.
  • Im Anschluss an die Platzvergabe findet ein Kick-off Treffen mit Hinweisen zur Bearbeitung statt. Die Bearbeitung erfolgt selbständig in Absprache mit der Betreuerin oder dem Betreuer während der vorlesungsfreien Zeit. Die Arbeiten werden im Rahmen eines Blockseminars vorgetragen und diskutiert.

Seminararbeit

  • Die Arbeit wird per email im PDF Format ohne Adresse oder Matrikelnummer an das Lehrstuhlsekretariat geschickt. Außerdem geben Sie bitte zwei Ausgedruckte Fassungen am Lehrstuhl ab (eine mit und eine ohne persönlichen Angaben).

Master

Winter Summer
Advanced Microeconomics
(MW20.1)
Productivity and Efficiency Measurement
(MW20.2)
Economics of Innovation I - Innovation Decisions
(MW20.3)
Economics of Innovation II - Industrial Dynamics and Evolution
(MW20.4)
Economics of Innovation III - Economic Dynamics and Structural Change
(MW20.5)
Economics of Innovation IV - Innovation Policy
(MW20.6)
Seminar Economics of Innovation
(MW20.7)
Seminar Economics of Innovation
(MW20.7)
Introduction to R (General Key Qualifications)
(MW26.4)
Research Seminar: Patent Data and Network Analysis
(MW20.7)

You find the course Material on Moodle. All students who are accepted for a course on Friedolin have access to the respective course page on Moodle if logged in with their URZ login.

Advanced Microeconomics Show content

Dates (Winter 2019-20)

  • Lecture
  • Exercise
    • PD Dr. Holger Graf
    • Friday, 12.15 – 13.45, HS 6, CZ 3
  • Exam:
    • Midterm: to be announced
    • Final: Thu., February 27, 2020 at 14 pm, HS 1
    • Retake: tba

Description

The course Advanced Microeconomics extends the basic ideas and concepts from the course Microeconomics (BW 20.1). It introduces the students to the strategic interaction in oligopoly markets by impart the relevant theoretical considerations and models. In the context of the information economics the students will get familiar with the problems of asymmetric information for the agents in the market and how these are analyzed.

Outline

Part 1: Strategic interaction and theory of oligopoly

1. Introduction
2. Oligopoly competition with homogenous goods
3. Oligopoly competition with heterogenous goods
4. Cartels
5. Research & Development

Part 2: Decisions under uncertainty and asymmetric information

6. Decisions under uncertainty
7. Principal-Agent Theory

Literature

  • Part I:
    Church, J., Ware, R., Industrial Organization, Boston: McGraw-Hill, 2000.
    Shy, O., Industrial Organization, Cambridge (Mass.): MIT Press, 1995.
    Tirole, J., The Theory of Industrial Organization, Cambridge (Mass.): MIT Press, 1988.
  • Part II:
    Varian H., Microeconomic Analysis, 3rd edition, Norton & Company, 1992.
    Macho-Stadler, I., D. Pérez-Castrillo, An Introduction to the Economics of Information, Oxford: Oxford University Press, 2001.

Exam

Examination consists of two written tests. There will be a

  • 45 minute midterm exam in December and a
  • 60 minute final exam

The midterm exam accounts for 30% of the final grade and has to be passed. In case of failure, there will be a retake opportunity for the midterm exam in January.

Productivity and Efficiency Measurement Show content

Dates (Summer 2020)

  • Lecture
  • Exercise
    • Prof. Dr. Uwe Cantner
    • Thursday, 14.15 – 15.45, SR 207, CZ 3
  • Exam: Wednesday, July 22, 2020, 11 - 12:10 o'clock (online)

Description

The course deals with the methodological foundations and the application of various methods of productivity and efficiency measurement. Based on theoretical and pragmatical considerations concerning the evaluation of production, index numbers, stochastic frontier analysis and data envelopment analysis are introduced and explained as to perform the evaluation. Differences in productivity are decomposed into the various components of efficiency such as pure technical efficiency, scale efficiency, and allocative efficiency. Therefore decomposition formulae and the Malmquist index are introduced to identify the source of those various causes. All provided methods are applied to real-world data sets and problems by using freely available software packages.

Structure

  1. Introduction into the analysis of production decisions
  2. Frontier function analysis with constant returns to scale – the productivity form
  3. Frontier function analysis with constant returns to scale – the envelopment form
  4. Frontier function analysis with variable returns to scale
  5. Input versus output orientation
  6. Extensions (slacks, allocative efficiency, super efficiency)

Literature

  • Bogetoft, P., Otto, L. (2011), Benchmarking with DEA, SFA, and R, New York: Springer.
  • Cantner U., H. Hanusch, Effizienzanalyse mit Hilfe der Data Envelopment Analysis, WiSt 27, 1998, S. 228-237.
  • Cantner, U., Krüger, J., Hanusch, H. (2007), Produktivitäts- und Effizienzanalyse – Der nichtparametrische Ansatz, Berlin u.a.: Springer Verlag.
  • Coelli T., D.S.P. Rao, G.E. Battese, An Introduction to Efficiency and Productivity Analysis, Boston: Kluwer, 1998.
  • Cooper, W.W., Seiford, L.M., Tone, K. (2000), Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Boston: Kluwer.
  • Grosskopf, S. (1993), Efficiency and Productivity, in: H.O. Fried, C.A.K. Lovell, S.S. Schmidt (Hrsg.), The Measurement of Productive Efficiency, Oxford: Oxford University Press, S. 160-194.

Software

In the lecture and in the tutorials the software EMS (Efficiency Measurement System) will be used to solve the problem of linear optimization.  The software is only available for Windows (please note that you need admin rights), but students can use Wine to run the software on Linux and OS X.

Examination

There will be a 60 minutes exam at the end of the course

The participation in the weekly exercise is highly recommended.

Economics of Innovation I - Innovation Decisions Show content

Dates (Winter 2019-20)

Course Description

The course provides an introduction to the Economics of Innovation.

Part I will introduce the fundamental theoretical building blocks to be used in the following developments of the course.

Part II will discuss some of the prevailing models in the field of Industrial Organization dedicated to the analysis of the incentives and constraints to innovative activities (R&D expenditures) as well their relation with imitation, spillovers, firm’s size and market structure.

Part III will adopt a more dynamic and knowledge-based view, introducing models involving the direct generation of new knowledge, the catching-up/falling behind dynamics of competition and – shortly – the role played by market selection between innovative firms.

Part IV will be dedicated to technological competition (the dominance of one technological option when several alternatives exists) in presence of network externalities.

Course Outline

Part I Basics in the Economics of Innovation

Part II Incentive based approach

  1. Optimal design of research and development projects
  2. Non-Tournament models
  3. Tournament models (Patent races)
  4. Neo-Schumpeter Hypotheses

Part III Knowledge-based approach

  1. Rationality, bounded rationality and the theory of the firm
  2. Innovation and knowledge races
  3. Selective Competition

Part IV Competing technologies and network externalities

Literature

Readings are not compulsory, but they will improve your preparation and extend your knowledge of the topics.

Introduction / Part I

  • Mokyr, J. (2010). The contribution of economic history to the study of innovation and technical change: 1750–1914. Handbook of the Economics of Innovation1, 11-50.
  • Arthur, W. B. (2007). The structure of invention. Research Policy36(2), 274-287.
  • Fagerberg, J., Mowery, D. C., & Nelson, R. R. (2006). The Oxford handbook of innovation. [Just the contribution by Fagerberg]

Part II

  • Dasgupta, P. & Stiglitz, J. E., Industrial Structure and the Nature of Innovative Activity, Economic Journal 90, 1980, 266-93;
  • Arrow K. J. (1962), Economic Welfare and the Allocation of Resources to Invention, in R.R. Nelson (ed.), The Rate and Direction of Economic Activity, Princeton University Press, N.Y., 609-626
  • (further reading for interested students) The Rate and Direction of Inventive Activity: Economic and Social Factors (NBER Book), 1962: downloadable at http://papers.nber.org/books/univ62-1
  • Other relevant papers will be suggested during the course.

Part III

  • Cohen W. M. & Levinthal, D. A., Innovation and Learning: The Two Faces of R&D, The Economic Journal 99 (397), 1989, 569-596; (see the downloads at the end of the page)
  • For the Knowledge Race (Gap Model), see Chapter 5 of Verspagen (1993) here www.merit.unu.edu/training/theses/thesisBV.pdf
  • Other relevant papers will be suggested during the course.

Exam

  • Mid-term exam (30% of the final mark)
  • Final exam on the whole course program (70% of the final mark)
Economics of Innovation II - Industrial Dynamics and Evolution Show content

Dates (Summer 2020)

  • Lecture and Exercise
    • Dr. Simone Vannuccini
    • Thursday, 08:15 - 09:45 am
  • Exam: Monday, July 27, 2020, at 14 pm (online)

Course Description

Are there ‘natural laws’ behind how firms behave, compete, and change over time? What about the industries they belong? In this course, we uncover the foundations of what are called ‘Industrial Dynamics’: the dynamic patterns of behavior and performance of industrial sectors that are subject to and engage into innovative activities.

The course will guide you through the basic determinants of industry evolution; we will start by identifying some regularities (or stylized facts) derived from empirical evidence and learn how to capture the turbulent or stable nature of industries using some techniques fit for purpose. Other topics covered in the course are the theory and empirics of market selection, the patterns emerging from the evolution of industries in time, the formation of spinoffs, and the classification of industries according to some key characteristics.

At the end of the course, you will be able to understand the fundamental drivers of industrial change and differences, and their importance to inform policy design and firms’ strategy.  

Course Outline

  1. A recap of basic concepts
  2. Stylized facts: the regularities of industries’ evolution
  3. Measuring turbulence and stability in innovative and economic performance
  4. Selection and competition in markets and value chains: theory and empirical tests
  5. Putting some structure over firms’ heterogeneity: sectoral systems of innovation, technological regimes, and the Pavitt Taxonomy
  6. Industries changing in time: the theory of Industry Life Cycles (ILC)
  7. Spinoffs dynamics

Literature

Each section of the course has

  • an essential reading, whose study is required to pass the final exam
  • one or more optional readings, useful to expand the knowledge on each topic covered

The reading list will be distributed ahead of the course beginning.

Students willing to have an introduction to the topic (especially to points 6 and 7 of the outline) can refer to the following books:

  • Geroski, P. (2003). The evolution of new markets. Oxford University Press.
  • Klepper, S. (2015). Experimental capitalism: the nanoeconomics of American high-tech industries. Princeton University Press.

Exam

100% written assessment (details will be provided at the beginning of the course)

 

 

Economics of Innovation III - Economic Dynamics and Structural Change Show content

Dates (Winter 2019-20)

  • Lecture + Exercise (block course)
  • Exam 
    • Final exam: Mon., February 17, 2020 at 12 pm, HS 1
    • Retake: tba

Course Description

The course provides an introduction to three different topics: Innovation NetworksGeneral Purpose Technologiesand Innovation and International Trade. All the three topics highlight the process of structural change occurring in the economic system and adopt as well focus on dynamics rather than on a static representation of economic phenomena.

The Innovation Networks part will show how innovative activities are usually undertaken in a collective/cooperative way, and will analyze the conditions for knowledge flows (spillovers) between agents as well as the role of network structure in affecting both innovative activities and economic performances.

The General Purpose Technologies part will trace a (theoretical and empirical) path going from theories of Long Waves to recent modeling involving the role of major technological change to explain long-run macroeconomic fluctuations as well as mutual inducements in innovative activities between different industries.

The Innovation and Trade part will discuss and model the role of technological (product and process) innovation in shaping the patterns of international trade and division of labor, both in static and dynamic settings.

During the exercise slots, students will present and discuss state-of-the-art papers on the three topics.

Course Outline

  1. Collective Innovation and Innovation Systems
    • Collective Innovation – geographical dimensions
    • Innovation Networks: Concept and pattern
    • Innovation Networks: Structures and Performance
    • Innovation Networks: Change and Dynamics
  2. The Economics of General Purpose Technologies (GPT)
    • Long Cycles and GPT definitions
    • GPT-based modeling
    • Detecting GPTs empirically
  3. Innovation and International Trade
    • The Ricardian model in international trade theory
    • Product and process innovation and international trade structures
    • The Ricardian model with endogenous dynamics

Literature

See Moodle

Additional relevant papers will be suggested during the course

Exam

The total mark is composed by a in-class presentation (30%)  and a final exam (70%).

Economics of Innovation IV - Innovation Policy Show content

Dates (Summer 2020)

  • Lecture
    • PD Dr. Holger Graf
    • Tuesday , 10.15 – 11.45, SR 317, CZ 3 and
    • Thursday, 12.15 – 13.45, SR 315, CZ3
  • Exam: two online exams (see Moodle)

Course Description

This course is about the normative aspects of technological and innovative change, i.e. we derive implications for policy from theoretical arguments or models concerned with technological change. We will discuss topics such as the characterization of knowledge, the process of generating innovations, innovation systems, R&D subsidies, R&D cooperations, policies concerning patenting and standardization, the diffusion of innovations, or the interplay between innovation and the environment.

Outline

  1. Introduction and core concepts
  2. Rationales for government intervention
  3. Forms of innovation policies
  4. The evolution of policy styles

The course is divided into two parts. The first half is devoted to the lecture, in the second half, there will be student presentations on assigned articles on innovation policies and their evaluation.

Exam

Presentation of assigned topic and overall participation (50%), two online exams (25% each).

Seminar Economics of Innovation Show content

Dates (Summer 2020)

  • Kick-off: Wednesday, February 18, 2020 at 14:00 in SR 314
  • Paper submission: prolonged until, May 22, 2020 due to Library closure (original: April 24, 2020)
  • Presentations: 18.-19. June 2020 via Zoom. Schedule and details have been sent via email.

Course Description

This seminar is provided every semester and is intended for master students. The topics of the seminar deal with the economics of innovation and microeconomic theory, so prior knowledge from other courses of the chair that introduce the basic concepts and literature that constitute these research areas is recommended. In order to pass the seminar successful, you have to write a term paper (40% of your overall performance), present this paper in the seminar (30%), discuss the term paper of a fellow student (20%) and participate in the discussion during the seminar (10%). We expect that you consider our guidelines for the work on your term paper and participation during the seminar.

Requirements

  • at least one course from the curriculum of the chair

Enrolment

  • Centralised application process (link)

Term paper

  • The term paper has to be submitted via e-mail as PDF without your address or enrolment number. Additional to that, you have to hand in two hard copies of your paper at the office of the chair (one with your personal information and one with only your name on it). For more details, see our guidelines [pdf 36KB] and the material that is distributed during and after the kick-off meeting.
Introduction to R Show content

Dates (Winter 2019-20)

Course Description

R is a software environment for data analysis, statistical computing, and graphics, which is widely used in education, research, and business. This course is to provide a hands-on introduction to R with a special focus on data handling, transformations, and visualization as a prerequisite for empirical analyses.

The course consists of a lecture part, exercises, and a student research project (group work). Intermediate tasks will be assigned throughout the course.

Examination:

          

  • 50%: intermediate tasks
  • 50%: research project
Research Seminar: Patent Data and Social Network Analysis Show content

This seminar is provided every summer semester and is intended for master students with a strong interest in empirical analysis and some knowledge of R statistical software (e.g. by passing the course Introduction to R). The application process is the same as for all seminars (link) and you receive credit for (MW 20.7).

Dates (Summer 2020)

  • Kick-off: Wednesday, February 18, 2020 at 14:00 in SR 314
  • PD Dr. Holger Graf, Indira Yarullina
  • Friday, 10.15 – 11.45, SR 130, CZ 3 (during the lecture period)
  • The first series of tasks is to be submitted by April 13, 2020

Course Description

Patents are a valuable source of information for innovation scholars. They are used to measure technological spillovers, innovation productivity, innovation networks, etc. The goal of this research seminar is to provide students with the basic tools of patent analysis, including information about patent databases, queries for patent selection, and data description. A special focus will be on the analysis of patent data, including citation analysis and social network analysis.

Structure

This is a weekly seminar, where in the first weeks, the theoretical and methodological foundations are laid. We will use R statistical software for data handling and analysis. During the subsequent weeks, teams of students will develop research proposals which will be conducted under the guidance of the lecturers during class. A final version of the research paper is to be submitted by the end of the lecture period. In the final two weeks
the research groups present and discuss their research results.

Deliverables

  • Tasks
  • Research proposal
  • Presentation
  • Research paper

 

Theses and Guidelines

Bachelorarbeit Show content

Anmeldung

Falls Sie sich für eine Bachelorarbeit an unserem Lehrstuhl interessieren, suchen Sie sich ein Thema aus den Bereichen Mikroökonomik oder Innovationsökonomik (Themenliste [pdf 76KB]), füllen Sie das Anmeldeformular [pdf 63KB]aus und schicken Sie es ans Lehrstuhlsekretariat.

Registrierung

Nachdem Sie mit Ihrer Betreuerin oder Ihrem Betreuer auf ein Thema geeinigt haben, erfolgt die Registrierung beim Prüfungsamt.

Anfertigen der Arbeit

Bitte befolgen Sie unsere Formvorschriften und nutzen Sie unsere Vorlagen für Word [docx 47KB] oder LaTeX. Wir empfehlen auch die Nutzung einer Literaturverwaltungssoftware, wie beispielsweise Zotero, Mendeley, oder Jabref.

Master thesis Show content

Select a (broad) topic

The first step to conducting a scientific research is to identify a broad topic. The topic should be interesting for you, in order to provide the right motivation, and also a matter of research on the frontier of knowledge. Furthermore, the topic should fall under the research expertise of the Chair. We suggest you check the study material of the Chair to identify one or more areas of research to be explored and/or extended within the Thesis. Also, you may check the Chair team personal web pages to get to know their specific research interests and ongoing projects.

After a broad research topic has been chosen, you will have to develop one or a set of research questions – the general trajectories that orient your search in the knowledge space. Research questions can be oriented to conceptual/theoretical or empirical analysis. There is no a priori preference between theoretical and empirical work, and the precise design of the research method for your thesis should be agreed upon with your supervisor.

Application

Once you thought about the potential topic for your thesis, you can apply for supervision. Supervisors are assigned based on the topic proposed, and on the availability of our team.

Fill this form to apply for a MASTER THESIS at the Microeconomics Chair.

Registration

After you have been accepted for writing a Thesis at the Microeconomics Chair and a topic is agreed with you prospective supervisor, you can formally register with the Exam Office (Prüfungsamt) to start the thesis completion process. Information on this step can be found on the Prüfungsamt page on the Faculty website.

Writing

Please follow our guidelines in completing your thesis. We recommend to use our templates for MS Word [docx 40KB] or LaTeX [zip 172KB] and a reference management software, such as Zotero, Mendeley, or Jabref.

Guidelines Show content
Templates Show content

MS Word

LaTeX

Datasets Show content

If you plan to do an empirical master thesis, we can help you to find appropriate data.

  • For firm level data, please check out the Amadeus database, available on campus.
  • If you want to work with patents, we have access to a variety of databases. Please consult Holger Graf or Martin Kalthaus.
  • EU funding data (FP7) can be found here.
  • OECD Science, Technology and Industry e-Outlook, for country profiles and policies
  • Worldbank Enterprise Surveys are conducted in 139 countries
  • Penn World Table
  • You can find datasets for various topics in public data repositories, such as the Harvard Dataverse
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