Category Archives: University of Hamburg – BWL

17th International Research Workshop – Methods for PhD (27 August – 1 September 2023)

17th International Research Workshop – Methods for PhD
27 August – 1 September 2023
Akademie Sankelmark, Flensburg (Germany)
http://www.phd-network.eu/irws/programme/

PROGRAMME

PARALLEL MORNING SESSION 1 (28 – 30 August 2023)

PARALLEL AFTERNOON SESSION 2 (28 – 30 August 2023)

 

 

PARALLEL SESSION 3 (1 September 2022)

WORKSHOP COMMITTEE:

  • Dr Wenzel Matiaske, Helmut-Schmidt-University
  • Dr Simon Jebsen, University of Southern Denmark
  • Dr Heiko Stüber, University of Applied Labour Studies

FEES & CREDIT POINTS

559 Euro (with accommodation and meals)

It is possible to get a certificate on five credit points (according to the European Credit Transfer System).

WORKSHOP VENUE

The workshop will take place at the Akademie Sankelmark, Akademieweg 6, in Oeversee (near Flensburg), Germany.

CONTACT & REGISTRATION

Don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com) for any questions.

Please register for the workshop here or on the workshop website.

ORGANIZERS

  • Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
  • Akademie Sankelmark im Deutschen Grenzverein e.V.

SUPPORTERS

  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics

PhD Course Econometrics

Econometrics

Block course

Date:

March 1st – March 3rd, 2021

Place:

Zoom (Link will be provided on the course website)

Course instructor:

Professor Martin Spindler (UHH)

Course value:

2 SWS or 4 LP

Course overview:

The main goal of this course is to give an introduction to causal inference, and if time allows to recent developments, in particular on the use of Machine Learning Methods for Causal Inference. Handouts of the slides will be provided during the course. The target audience are empirical researcher / PhD students who want to apply those methods for their research.

Topics:

1) Introduction to Causal Inference / Basic Framework

2) Methods for Causal Inference (Diff-in-Diff, IV, Propensity Score Matching, Randomized Control Trials, …)

3) Recent Developments

Teaching language:

English

Student evaluation:

presentation of a recent paper in a blocked session (Summer Term2021) or presentation / written summary of a research project / idea

Registration:

not required

https://www.bwl.uni-hamburg.de/forschung/promotion/doktorandenkurs-online-spindler-wise2021.pdf

Uni Hamburg: PhD Course in Behavioral & Experimental Economics

Dates: The course takes place on four Fridays. Sessions are such that participants have sufficient time to develop and run their experiments:

  • 13th November 2020, 11th December 2020, 22nd January 2021, and 19th March 2021.

Time: 09:00 – 16:00 h

Place: Universität Hamburg (more details follow)

Course Instructor: Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)

Course Value: 2 SWS/5 LP

Teaching language: English

Registration: guido.voigt@uni-hamburg.de (First come, first-served)

Course Overview: The main goal of this course is to introduce the design and implementation of both laboratory and field experiments in various fields of Economics and Business Administration. PhD students who have some experience with or who consider to set up an experiment are welcome to participate in this course.

First, we will identify different research questions for a laboratory or a field experiment. We start with discussing critical theory assumptions. We then show how research hypotheses can be inferred from behavioral models and how these hypotheses may be tested in lab or field studies.

Second, participants will critically discuss an experimental paper (either provided by us or self-selected) that is instructive for their own research field.

Third, participants will develop an experimental design and conduct a pilot experiment that is run in class. We introduce basic statistics along with a discussion how they relate to the experimental design. Alternatively, for participants who do not plan to conduct own experiments, a second paper will be reviewed.

Participants have the option to take a research ethics training (https://about.citiprogram.org/en/homepage/) that becomes increasingly important to conduct research projects with colleagues from the Unites States. All students will learn the basic requirements of a human subjects committee.

Course Contents:

  • Identify a suitable research question for an experiment
  • Ethical and scientific standards: historical and scientific rea-sons, consent requirements, human subjects committee, spe-cial requirements (children, elderly people, inmates, …), data collection and evaluation
  • Individual and group experiments in the laboratory
  • Surveys and internet experiments
  • Field experiments in cooperation with a company

Prerequisites: Basic background in microeconomics, game theory and statistics.

Assessment:

  • Critical discussion of an experimental paper
  • Optional but encouraged: experiment design presentation (extended summary on economic question, relevant literature, hypotheses, design: presentation with max. 10 slides or max. five pages extended abstract); running a pilot experiment

Schedule (tentative):

scheduled independently by participants

Day Topics Suggested Readings
1st Session Introduction to the field

Game theoretic models, critical assumptions, Behavioral Models and Research Hypothesis

Laboratory Experiments

 Katok (2018)
2nd Session Presentation and discussion of assigned papers.
Statistics & Design Choices
IRB, Field-Experiments		 Hyndman, K. and Embrey, M. (2018)
3rd Session Presentation of research (Problem Description, Research Hy- pothesis, Experimental Design)

Visit of Experimentallabor (z-Tree, Eye-Tracking, etc.)
4th Session Presentation of pilot studies (Note: Pilot studies need to be scheduled independently by participants)

 

Recommended Texts:

Katok, E. (2018) Designing and Conducting Laboratory Experiments, pages: 1-33 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

Hyndman, K. and Embrey, M. (2018) Econometrics for Experiments, pages: 35-88 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

Other useful resources:

Baum, C. F. (2006) An introduction to modern econometrics using Stata. Stata press

Camerer, C. (2003) Behavioral Game Theory, Princeton University Press.

Holt, C. (2019) Markets, Games, and Strategic Behavior: A First Course in Experimental Economics, 2nd edition, Princeton Universtity Press

Kagel, J. and A. Roth (1995) Handbook of Experimental Economics, Princeton University Press.

Sheskin, D. J. (2011) Handbook of parametric and nonparametric statistical procedures. 5. ed. CRC Press.

Other material (e.g., papers to be presented etc.) will be distributed once we know who participates.

UHH: Wiss. Mitarbeiter/in (M/W/D) am Lehrstuhl für Strategisches Management

Die Universität Hamburg ist als Exzellenzuniversität eine der forschungsstärksten Universitäten Deutschlands. Mit ihrem Konzept der „Flagship University“ in der Metropolregion Hamburg pflegt sie innovative und kooperative Verbindungen zu wissenschaftlichen und außerwissenschaftlichen Partnern. Sie produziert für den Standort – aber auch national und international – die zukunftsgerichteten gesellschaftlichen Güter Bildung, Erkenntnis und Austausch von Wissen unter dem Leitziel der Nachhaltigkeit.

An der Fakultät für Betriebswirtschaft/Lehrstuhl für Strategisches Management (Prof. Dr. Berg)
ist gemäß § 28 Abs. 1 HmbHG* ab dem 1. Januar 2021 (oder nach Vereinbarung) eine Stelle als

WISSENSCHAFTLICHE MITARBEITERIN BZW.
WISSENSCHAFTLICHER MITARBEITER (M/W/D)
– EGR. 13 TV-L –

befristet auf der Grundlage von § 2 Wissenschaftszeitvertragsgesetz für die Dauer von zunächst drei Jahren zu besetzen. Die wöchentliche Arbeitszeit entspricht 100% der regelmäßigen wöchentlichen Arbeitszeit. Die Stelle ist auch teilzeitgeeignet.

Aufgaben:
Zu den Aufgaben einer wissenschaftlichen Mitarbeiterin bzw. eines wissenschaftlichen Mitarbeiters gehören wissenschaftliche Dienstleistungen vorrangig in der Forschung und der Lehre.

Es besteht Gelegenheit zur wissenschaftlichen Weiterbildung, insbesondere zur Anfertigung einer Dissertation; hierfür steht mindestens ein Drittel der jeweiligen Arbeitszeit zur Verfügung.

Aufgabengebiet:
Zu den Aufgaben in der Forschung gehört das quantitativ-empirische Arbeiten und die Publikation von Forschungsergebnissen in internationalen Fachzeitschriften sowie die Präsentation dieser Forschungsergebnisse auf internationalen Fachkonferenzen. Die Forschungsthemen der Dissertation liegen im Bereich des Internationales Management.
In der Lehre gehört die Betreuung von Bachelor- und Masterstudierenden sowie die Vorbereitung und Mitarbeit bei Lehrveranstaltungen im Bereich des Internationalen Managements und des Personalmanagements zu den Aufgaben. Die Lehrverpflichtung beträgt 4 LVS.

Geboten werden anspruchsvolle Forschungsarbeiten in einem engagierten Team sowie eine systematische Betreuung des Dissertationsvorhabens.

Einstellungsvoraussetzungen:
Abschluss eines den Aufgaben entsprechenden Hochschulstudiums. Erwartet wird ein Masterabschluss in BWL, vorzugsweise mit Vertiefungen in den Bereichen Internationales Management, Strategisches Management, Personalmanagement, Unternehmensführung o. ä. Weiterhin verfügen Sie über gute englische Sprachkenntnisse und haben idealerweise bereits Erfahrungen im Ausland sowie in theoriegeleiteter-empirischer Forschung gesammelt.

Die FHH fördert die Gleichstellung von Frauen und Männern. An der Universität Hamburg sind Frauen in der Stellenkategorie der hier ausgeschriebenen Stelle, gemäß Auswertung nach den Vorgaben des Hamburgischen Gleichstellungsgesetzes (HmbGleiG), unterrepräsentiert. Wir fordern Frauen daher ausdrücklich auf, sich zu bewerben. Sie werden bei gleicher Eignung, Befähigung und fachlicher Leistung vorrangig berücksichtigt.

Schwerbehinderte und ihnen gleichgestellte Bewerberinnen und Bewerber werden bei gleicher Eignung, Befähigung und fachlicher Leistung im Bewerbungsverfahren vorrangig berücksichtigt.

Für nähere Informationen wenden Sie sich bitte an Frau Prof. Dr. Nicola Berg,
nicola.berg@uni-hamburg.de oder schauen Sie im Internet unter
www.bwl.uni-hambug.de/de/stman nach.

Bitte senden Sie Ihre Bewerbung mit den üblichen Unterlagen (Bewerbungsschreiben, tabellarischer Lebenslauf, Hochschulabschluss) bis zum 31.10.2020 an: Frau Prof. Dr. Nicola Berg, Lehrstuhl für Strategisches Management, Von-Melle-Park 5, 20146 Hamburg,
nicola.berg@uni-hamburg.de.

Bitte beachten Sie, dass wir Bewerbungsunterlagen nicht zurücksenden können. Reichen Sie daher bitte keine Originale ein. Wir werden Ihre Unterlagen nach Beendigung des Verfahrens vernichten.

Uni Hamburg: PhD-Course Business Research Methods am 14. November, 12. Dezember 2020 sowie 16. Januar und 13. Februar 2021 in Hamburg

Course Instructors:

Tammo Bijmolt (Faculty of Economics and Business, University of Groningen, NL)
Dr. Felix Eggers (Faculty of Economics and Business, University of Groningen, NL)


Course Overview:

The PhD course deals with research methods that can be applied in scientific research within various business disciplines. The focus of the course is rather applied: students who have successfully finished the course should be able to apply (multivariate) analysis methods at an advanced level in scientific research. For each topic, a full-day lecture will be used to explain that particular method and to learn about conducting the analyses. There will be four topics, each with a lecture and an assignment (see below).

The course is open for students from outside Hamburg, from other departments within the Business School, and junior faculty members (max. 15-20 participants). In principle, participants could sign up for all sessions / the entire course, or cherry-pick the topic(-s) that they like.

Click here for further information.

Uni Hamburg: PhD-Course SURVEY RESEARCH am 16. und 30. November 2020 sowie 18. Januar und 15. Februar 2021 (Zoom or Campus)

Course Instructors:

Dr. Timo Mandler (Touloulse Business School) for Part I and

Prof. Dr. Karen Gedenk (Universität Hamburg) for Part II

Course Value: 2 SWS or 5 LP; optional only one part equiv. 1 SWS or 2,5 LP

 

Course Overview:

This course is designed to lay the foundations of good survey-based research in different areas of Business Administration. It aims at (1) familiarizing students with key issues in designing surveys and equipping them with the necessary practical skills to implement and execute surveys efficiently, and (2) teaching them how to address various challenges related to the analysis of survey data. The course provides students with an overview of the survey research “tool box”. The course will take the form of four all-day workshops, with an emphasis on student participation. Presentations on key issues related to the design, implementation, and execution of surveys as well as to the analysis of survey data will be accompanied by practical demonstrations, in-class exercises, and assignments

Click here for further information.

Uni Hamburg: PhD Course Advanced Modelling and Optimization

Course Instructor: Prof. Fliedner/Prof. Haase

Course Value: 2 SWS or 5 LP

Teaching language: English

Registration: via Email to  ana-jelena.peric@uni-hamburg.de

Course Objectives:

This course builds up on the fundamentals of linear and combinatorial optimization and equips students with a set of advanced modeling tools to solve optimization models from different fields of application. Students learn to formulate optimization models as   mixed- integer linear programs, how to solve them with standard software and how to construct heuristic solution algorithms. Successful participants will be able to deal with the  complexity of real-world decision problems via aggregation, relaxation, and decomposition techniques. This course is aimed at Ph.D. students in information systems, business administration, and computer science. Participants are expected to have a solid understanding of the basics of modeling and optimization and will be provided with an advanced understanding of algebraic optimization models and solution  methods

Student evaluation:

Successful completion of work assignments

Uni Hamburg: PhD Course Survey Research

Dates & Time:
Kick-Off: November 18, 2019; 6 pm
Seminar: February 10 – 12, 2020; full time (tba)
Exam: February 17, 2020; 9 am

Location:     
Universität Hamburg, Moorweidenstr. 18, room 0005.1 (for 18 Nov 2019, 10 – 12 Feb 2020); room for exam tba

Instructor:
Prof. Dr. Karen Gedenk

Teaching Language:
English

Credit Points: 
2 SWS/5 LP

Registration: 
until November 11, 2019. Please send an e-mail to Elke Thoma (elke.thoma@uni-hamburg.de) which  informs about:

  • your name
  • your email address
  • the supervisor of your doctoral thesis and topic
  • your background in statistics and empirical research.

Objectives:

This course is designed to lay the foundations of good survey-based research in different areas of Business Administration. Through a critical review of existing literature, presen- tations and discussions, students become acquainted with common problems in survey- based research and advanced methods for solving them. Students get an overview of dif- ferent methods in the survey research “tool box”. This helps them identify appropriate methods for their own research and evaluate research done by others.

Prerequisites:

Students should have a solid foundation in statistics and be familiar with the basics of multivariate data analysis.

Student Evaluation:

To pass the course, participants are required to make a successful presentation. In addi- tion, they need to read one paper on each topic, participate in class discussions, and pass the exam.

Contents & Working Requirements:

Exemplary topics are preference measurement, measurement models for complex con- structs, structural equation models, moderation and mediation, multicollinearity, heter- ogeneity, endogeneity, common method bias. A list of topics and readings will be pro- vided at the kick-off meeting.

Participants prepare and hold a presentation – either alone or in a group (depending on the number of participants). In their presentation, participants explain, compare and evaluate methods relevant for their specific problem. All presentations should contain a practical example based either on an own dataset or on published research. Participants also take an exam at the end of the course.

Coordination/Contact

Prof. Dr. Karen Gedenk (karen.gedenk@uni-hamburg.de).

For all organiziational issues please contact Elke Thoma  (elke.thoma@uni-hamburg.de).

 

Uni Hamburg: PhD Course Behavioral & Experimental Economics

Dates: The course takes place on four days. Sessions are scheduled in both the winter term and the summer term, such that participants have sufficient time to develop and run their experiments:

November 22nd, 2019; November 27th, 2019; March 27th, 2020.

The last session will take place either in May or June 2020, and will be scheduled in the second meeting.
Time 10am—4pm
Place Universität Hamburg (more details follow)
Instructor Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)
Teaching language English
Credit Points 2 SWS/5 LP
Registration kathrin.marina.heim@uni-hamburg.de

(first come, first-served)

Objectives:

The main goal of this course is to introduce the design and implementation of both laboratory and field experiments in various fields of Economics and Business Administration. PhD students who have some experience with or who consider to set up an experiment are welcome to par- ticipate in this course.

First, we will identify different research questions for a laboratory or a field experiment. We start with discussing critical theory assumptions. We then show how research hypotheses can be inferred from behavioral models and how these hypotheses may be tested in lab or field studies.

Second, participants will present and discuss an experimental paper (either provided by us or self-selected) that is instructive for their own research field.

Third, participants will develop an experimental design and conduct a pilot experiment that is run in class. We introduce basic statistics along with a discussion how they relate to the exper- imental design. Alternatively, for participants who do not plan to conduct their own experi- ments, a second paper will be reviewed.

Participants have the option to take a research ethics training (https://about.citipro- gram.org/en/homepage/) that becomes increasingly important to conduct research projects with colleagues from the Unites States and in the European Union. All students will learn the basic requirements of a human subjects committee.


Some topics:

  • Identify a suitable research question for an experiment
  • Ethical and scientific standards: historical and scientific reasons, consent requirements, hu- man subjects committee, special requirements (children, elderly people, inmates, …), data collection and evaluation
  • Individual and group experiments in the laboratory
  • Surveys and internet experiments
  • Field experiments in cooperation with a company


Prerequisites:

Basic background in microeconomics, game theory and statistics.

Student evaluation:

  • Presentation and critical discussion of one or two experimental papers,
  • Optional but encouraged: experiment design presentation (extended summary on eco- nomic question, relevant literature, hypotheses, design: presentation with 10 slides or max. five pages extended abstract); running a pilot experiment

 

Schedule (tentative) 

Day Topics Suggested Readings
1st Session Introduction to the field

Game theoretic models, critical as- sumptions, Behavioral Models and Research Hypothesis

Laboratory Experiments

 Katok (2018)
2nd Session Presentation and discussion of as- signed papers.

Statistics & Design Choices IRB, Field-Experiments

 Hyndman, K. and Embrey, M. (2018)
3rd Session Presentation of research (Problem De- scription, Research Hypothesis, Exper- imental design)

Visit of WiSo-Experimentallabor (z- Tree, Eye-Tracking, etc.)
4th Session Presentation of pilot studies (Note: Pilot studies need to be scheduled in- dependently by participants)

Suggested readings before the course:

Katok, E. (2018) Designing and Conducting Laboratory Experiments, pages: 1-33 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

Hyndman, K. and Embrey, M. (2018) Econometrics for Experiments, pages: 35-88 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

 

Other useful resources:

Baum, C. F. (2006) An introduction to modern econometrics using Stata. Stata press Camerer, C (2003) Behavioral Game Theory, Princeton University Press.

Holt, C. (2019), Markets, Games, and Strategic Behavior: A First Course in Experimental Economics, 2nd edition, Princeton Universtity Press

Kagel, J. and A. Roth (1995) Handbook of Experimental Economics, Princeton University Press.

Sheskin, D. J. (2011) Handbook of parametric and nonparametric statistical procedures. 5. ed. CRC Press.

Other material (e.g., papers to be presented etc.) will be distributed once we know who participates.

 

Graduate School der Universität Hamburg – Promotionsstudiengang der Fakultät für Wirtschafts- und Sozialwissenschaften – Kursangebot im Wintersemester 2019/20 (Stand: 28.08.2019)

Eine Komplettübersicht des aktuellen Kursprogramms der WiSo-Graduate-School der Universität Hamburg finden Sie hier. Bitte beachten Sie die Anmeldefristen.