Doctoral Program

Anwendung von Data Analytics Lösungen im wissenschaftlichen Umfeld zu vermitteln. Im Seminar wird den Doktoranden ein ganzheitlicher Einblick im Vorgehen, von der Datenaufbereitung bis hin zur Interpretation der Analyseer­gebnisse, gelehrt. Ergänzend erfolgt eine Einführung in die Softwarelösung Alteryx, welche im Rahmen der Gruppenarbeit benötigt wird. Die in den Gruppen zu bear­beitenden Problemstellungen sollte den Doktoranden ermöglichen erste Erfahrun­gen mit Alteryx zu erlangen, die Grundlagen aus dem Seminar anzuwenden sowie Vor- und Nachteile eines solchen Analyse-Tools zu erkennen.

Syllabus: Data Analytics in Scientific Research – An Introduction

Registration: Alle interessierten Doktoranden müssen sich bis spätestens zwei Wochen vor Veranstaltungsbeginn per E-Mail anmelden (E-Mail: wi-sekretariate@wi.tum.de). Die Seminar ist ausgebucht.

phic change. A special focus will be given to the analysis of: 1) the consequences of aging for the sustainability of the social security systems; 2) the interactions between economic decisions and health outcomes and 3) the consequences of aging on labor, capital and goods markets.

Basic knowledge of the empirical research methods is essential. The successful completion of courses like “empirical research methods”, “angewandte Statistik”, “empirische Wirtschaftsforschung”, “consumer behavior research methods” is highly recommended.

Syllabus: Economics of Aging (Methods/Theory)

Registration: By e-mail to: kneip@mea.mpisoc.mpg.de until October 19, 2020

in business (i.e., submission procedures and requirements, editorial decisions, hierarchies), (2) provides guidance regarding how to write constructive reviews (i.e., generic template for a review, review expectancies for different outlets and different publication stages, serving as a discussant), (3) helps students analyzing reviews they received for their papers (i.e., identifying and aggregating received comments etc.), (4) to respond to reviews (i.e., writing a response note). The course provides practical examples from real peer review processes. The course starts with an introductory presentation by the instructor. Then, participants write peer reviews for the papers of other participants. After receiving reviews for their papers, students respond to the received reviews by writing response letters. Students will present their responses to the class.

Syllabus: Mastering the Review Process: Writing of and Responding to Peer-Reviews

Registration: Please send an email to Office.cdt@wi.tum.de with a short registration request that includes your name and the title of your paper. Registration deadline: 21.10.2020.

these conversations depict how we, as academics, try to explain the world (i.e., how we theorize it). Accordingly, as academics, a key goal we have is to make substantive contributions to conversations through publications.

In that context, it is important to understand that not all papers and all journals are the same. Academic conversations are often led by publications in so-called top journals. That does not mean that all papers in top journals are good, or that papers published outside those journals are bad – however, given how we all have limited time (and, hence, often focus our reading time on top journals), publications in top journals carry more status and, in the logic of a self-fulfilling prophecy, that should attract better paper submissions, a stricter reviewing process, and, hence, higher quality on average.

Accordingly, a key question that follows to junior researchers who strive to make such a visible contribution to science (and for an academic career) is how to go about designing and writing top publications

Syllabus: Paper Design Workshop

Application process:
Please submit to o.alexy@tum.de by 15.11.2020: a cover letter, a full, up-to-date academic resume, the paper or paper idea you would like to bring into this course including any review(s) you may have potentially received on the paper previously. In your cover letter (no longer than 2 pages), please specify (1) the topic and state of your doctoral thesis, (2) why and how you think that taking this specific course will help you become a better scholar, (3) what scholar you would like to become, (4) the history of your paper (where does it come from, where has it been), and your goals for the paper (where do you want to submit it, when, and why), and (5) why you think this paper can make a contribution to academia, what that contribution is, and who would care.

Please note that no feedback can be provided on applications that are turned down.

blishing own research. At the end of this course, students will be able to critically discuss and analyze influential research papers published in top journals. For any given study, students will be able to read it carefully, analyze its strengths and weaknesses and point independently to possible future research perspectives.
Students will further become more independent researchers as they will understand (1) some of the key elements pertaining to successfully published studies, (2) how to make a significant contribution to literature, and (3) how to tell a story in a research publication.

Syllabus: Ph.D. Seminar on Recent Research Advances in Analytics, Operations, and Supply Chain Management

Registration: Registration for this course can be done through “self-enrollment” in Moodle: https://www.moodle.tum.de/course/view.php?id=59045.

luential for management research and practice. At the end of the course, participants will be familiar with the key concepts, respective empirical findings, and their application to management practice. To this end, each participant will be asked to present in class recent research pertaining to the theory s/he chooses, and to conduct an interactive exercise to facilitate a more comprehensive understanding of the theory’s relevance for management research and practice. During the kick-off session, participants will receive an introduction to psychological research and will be asked to choose one of the theories.

Syllabus: Psychological Theories

Registration: By email to martin.fladerer@tum.de (Martin Fladerer) until November 9, 2020. Participants will be admitted on a first come, first served basis.

ding management and related fields. Qualitative papers are published in leading management journals (e.g. Administrative Science Quarterly, Academy of Management Journal, Organisation Studies, Journal of Business Venturing, and Journal of Consumer Research). In this seminar you will learn about the nature of qualitative research, different approaches, and research designs. Furthermore, you will become familiar with the facets and nuances of qualitative data collection and analysis.

Syllabus: Qualitative Research

Registration: The seminar is targeted at doctoral students, who are in the beginning of their studies, and who intend to employ qualitative research. Since the seminar is very interactive in nature, it is limited to 15 participants. If you are interested in the seminar, send a short letter of motivation and CV until February 4, 2021 to Prof. Dr. Frank-Martin Belz (email: Frank.Belz@tum.de).

efore, renowned researchers from various European universities will present their latest research in the fields of asset pricing, corporate finance, and financial intermediation. Extensive discussion in class is encouraged. Thereby, students will learn to know and discuss critically current topics in finance. They will also learn more about state-of-the-art research methodologies.

The target audience are PhD students and post-docs in finance. A requisite for participation is a specialization in finance and/or accounting.

Syllabus: Topics in Finance

Registration: Please send an email to matthias.hanauer[at]tum.de by October 30, 2020. In your email, please state your department and specify the topic and state of your PhD thesis or research area (post-docs). Strict preference will be given to individuals with a specialization in finance and/or accounting.

spite this trend, women entrepreneurs are underrepresented in many industries, experience high failure rates, often start lifestyle venture that do not grow. Given these patterns, in the last decades there has been an increasing body of research on the topic, leading women’s entrepreneurship research to be established as a field of study. Women’s entrepreneurship research has influenced entrepreneurship domain by showing that entrepreneurship is a gendered phenomenon (Jennings & Brush, 2013). Women’s entrepreneurship research has been published in leading journals such as the Academy of Management Annals and Administrative Science Quarterly. In the first part of the seminar, students will acquire knowledge of the foundations of women’s entrepreneurship field. During the second part, students will look at the main questions that define the field today and critically examine  ow researchers are approaching these questions. The seminar is targeted at Doctoral students, who are interested in understanding the gender issues in entrepreneurship.

Syllabus: Women and Entrepreneurship

Registration: Please send an email to daniela.gimenez@tum.de (before December 15, 2020).

Capacity: Max. 15 participants.

t. In this course, the students will study the advanced models in dynamic programming systematically. At the end of this course, students will be able to understand the mathematical derivation of dynamic programming, model the sequential decision-making problems, and find the optimal solution proficiently.

Syllabus: Ph.D. Seminar on Advanced Dynamic Programming

Registration: via Moodle

blishing own research. At the end of this course, students will be able to critically discuss and analyze influential research papers published in top journals. For any given study, students will be able to read it care-fully, analyze its strengths and weaknesses and point independently to possible future research perspectives.
Students will further become more independent researchers as they will understand (1) some of the key elements pertaining to successfully published studies, (2) how to make a significant contribution to literature, and (3) how to tell a story in a research publication.

Syllabus: Ph.D. Seminar on Seminal Research in Analytics, Operations, and Supply Chain Management

Registration: tbd

focusing on various aspects of the financial sector. The course will cover investment opportunities in the private equities sphere with a focus on the possible vehicles in that sphere, the corporate governance aspects involved in the private equity market, the financial regulation of private equity and potential tax issues, and advantages and disadvantages of the various forms of private equity available, corporate as well as non-corporate.

These topics will be discussed generally and with a special focus on South Africa. South Africa is the second largest economy in Africa. Its economy is diversified and the most industrialized in Africa. It also is the only African G20 member. The economy is based on a large mining sector, but agriculture, financial services, manufacturing and a growing Fintech sector also form important components of the economy. In total, South Africa has one of the few upper middle class economies on the African continent according to the World Bank.

From an investment perspective, South Africa is regarded as an ideal emerging market destination. Arguably, investors seeking to invest in an emerging market consider various factors before deciding to invest. This holds true for every economy, but even more so in an emerging market economy. Relevant factors would be anything from efficient infrastructure, a predictable and independent judiciary, a skilled workforce, and a state of the art financial industry. Together with his doctoral students, Professor Stevens will analyze financial markets in South Africa and their regulatory context. The main outcome of his course will be the analysis, whether South Africa is a safe destination from a financial markets and regulatory perspective. The course will also provide an overview of how South Africa’s Financial Markets Act deals with insider trading.

This course is equivalent to 4 ECTS and 22.5 hours class time.

Syllabus: tbd

Registration: This course is for PhD students only! Please send an email to: sekretariat.jura@tum.de untill 01.05.2021. Max. 25 participants. First come first served.

ul and robust results, one has to know these methods and understand them well. This course shall convey advanced econometric methods, with a focus on approaches to address issues of selection and causality such as instrumental variables and propensity score matching. Depending on the participants’ needs, the emphasis can be shifted to some extent; we will discuss the selection of topics at the kick-off session. The focus will be on applicable knowledge, not so much on details of the theory.

Topics comprise various methods to address selection issues and come close to causality:

• Heckman selection models
• Instrumental variables
• Differences-in-Differences
• Regression discontinuity design
• Matching (e.g. propensity score matching, exact matching)
• Randomized controlled trials

Intended learning outcomes: Participants shall be able to select the appropriate econometric method given a certain problem and data set; to apply this method proficiently using STATA and/or R; to know the advantages and pitfalls of each method; and to judge if the econometric approach in published studies is correctly chosen and well executed.

Prerequisites: Participants need to have econometrics knowledge corresponding to an introductory Ph.D. level course in econometrics. Ideally, they should have participated in such a course, e.g. in “Applied Econometrics: An Introduction” by Professor Hottenrott.

Syllabus: Advanced Econometrics: Causal Inference

Registration: Until April 21, 2020, noon, via Moodle.

hods. We will not focus on the econometrics, but aim at developing the students’ understanding of what the methods are all about and how they work in practice. The course is taught over 5 days. We expect all students to read all the required readings and be prepared to discuss as the class will be interactive. Attendance is mandatory! We have combined lectures that provide an overview of the different concepts as well as more applied exercises that employ the techniques we will discuss. All examples will be illustrated using STATA. Please bring your own laptops – if you do not have STATA, please make sure you can access a network license from the School of Management.

Syllabus:  Applied Econ March 2020

Registration: hanna.hottenrott@tum.de (no later than March 1st, 2020)

and auditing processes, digital disclosure, and dissemination and analysis of disclosures. After this course, participants

• know of state-of-the art digital accounting literature,
• are able to apply new technologies in accounting research,
• are able to evaluate the use of digital technologies in accounting and auditing,
• are able to identifying interesting, important, and researchable topics in digital accounting and auditing,
• are able to formulate testable hypotheses about research topics in digital accounting and auditing,
• are able to empirically test hypotheses using valid, powerful, and well-chosen research designs,
• are able to identify topics and settings for their own research/PhD projects

Syllabus: Digital Technologies in Financial Accounting and Auditing

Registration: Please write an e-mail to benedikt.downar@tum.de by April 27th, 2020 at the latest.

Max. number of participants: The number of participants is limited to 10.

phic change. A special focus will be given to the analysis of: 1) the consequences of aging for the sustainability of the social security systems; 2) the interactions between economic decisions and health outcomes and 3) the consequences of aging on labor, capital and goods markets.

Basic knowledge of the empirical research methods is essential. The successful completion of courses like “empirical research methods”, “angewandte Statistik”, “empirische Wirtschaftsforschung”, “consumer behavior research methods” is highly recommended.

Syllabus: Economics of Aging

Registration by e-mail to kneip@mea.mpisoc.mpg.de until April 13, 2020

ebogen- und Kompetenzskalen sowie Verfahren zur Analyse hierarchischer Datenstrukturen behandelt. Zunächst werden verschiedene empirische Studiendesigns und deren Eignung zur Prüfung von Kausalbeziehungen behandelt. Es wird geklärt, weshalb die interne Validität als Kernkriterium für die Beurteilung der Eignung eines Designs zur Sicherstellung hoher Evidenz für Ursache-Wirkungsbeziehungen entscheidend ist. Experimentelle Standards und die Merkmale alternativer Studiendesigns werden vergleichend behandelt.

Komplexe Datenstrukturen (z. B. Fragebogendaten) können mittels konfirmatorischer Faktorenanalyse und Strukturgleichungsmodellen analysiert werden. Zunächst werden die theoretischen Hintergründe eingeführt und Möglichkeiten der Definition von Modellen behandelt. Die Teilnehmenden lernen die Programmoberfläche der in SPSS enthaltenen Software AMOS und die Software Mplus 8.0 zur empirischen Modellschätzung einzusetzen. Methoden und Kriterien zur Bestimmung der Güte der Modelle werden theoretisch geklärt und mit Hilfe der Software bestimmt. Anschließend werden Methoden zur gezielten Modelloptimierung eingeführt und am Rechner eingeübt.

Zur Analyse von Kompetenzskalen bzw. kategorialen Antwortformaten (z. B. richtig vs. falsch) müssen Verfahren aus der Familie der Item-Response-Modelle eingesetzt werden. Diese können  mit der Software MPlus 8.0 geschätzt werden. Es wird gezeigt, dass Verfahren für metrische, ordinale und dichotome Daten auf derselben Grundlogik basieren: Für die Analyse metrischer  Daten wird jedoch ein linearer Ansatz verwendet, während für kategoriale Variablen der logistische Ansatz zur Anwendung kommt.

Hierarchische Lineare Modellen bzw. die Mehrebenenanalyse bieten z. B. für varianz-, regressions- und faktorenanalytische Analyseansätze wichtige Erweiterungen, wenn Daten in natürlichen Gruppen oder Clustern (z. B. Arbeitsteams, Organisationseinheiten) erhoben wurden. Zum einen können Abhängigkeiten zwischen Gruppenmitgliedern angemessen modelliert werden, zum anderen können Beziehungen zwischen Datenebenen (z. B. Ebene 1: Einzelne Teammitglieder; Ebene 2: Teammerkmale wie Größe oder Teamklima) bestimmt werden. Bei Messwiederholungsdaten besitzen Hierarchische Lineare Modelle validere Modellannahmen und sie eröffnen vielfältige Analyseoptionen (insbes. im Vergleich zur Varianzanalyse mit Messwiederholung).

Für alle statistischen Verfahren werden die theoretischen Grundlagen, deren Umsetzung am Rechner, die Gütebeurteilung und Publikationsstandards behandelt.

Anmerkung: Die frei verfügbare Demoversion von MPlus 8.0 sollten die Teilnehmenden auf ihrem Laptop installieren.

Syllabus: Empirische Forschungsmethoden

Registration: bis 30.04.2020; per mail an Dr. Theresa Treffers. theresa.treffers@tum.de  Betreff: Doktorandenkurs München

lied more or less meaningfully in management and organisational research. Graduate students will be enabled to understand eye tracking, successfully read respective papers and their method section, and to assess the potential as well as the pitfalls of eye tracking in their fields of research. Furthermore, graduate students will be familiarised with the complete research cycle of eye tracking studies (designing/developing, conducting and analysing eye tracking studies).

Syllabus: Eye Tracking for Organisational Research and Economics

Registration: Please send an email to hannah.kunde(at)tum.de latest by May 31^st 2020. First come first served

laboratory experiments. It will enable you to

• decide whether a laboratory experiment is appropriate to address some research question;
• find research questions in your area of interest that a laboratory experiment can address;
• develop an experimental design to address such a research question.

In addition, the course will offer you hands-on training on how to bring experiments to the laboratory. It will cover common practical issues, such as which software to use, how to recruit participants, or how to conduct an experiment.

The course will be most beneficial for you if you plan to run your own experiment soon. If you consider using experimenTUM, TUM’s laboratory for experimental research in economics, you are strongly encouraged to take it.

Syllabus: Introduction to Experimental Economics

Registration:

Write to Andreas Ostermaier no later than noon of July 31, 2020 to apply (ostermaier@sam.sdu.dk). Please state your primary research area and method. Mention also what motivates you to sign up for this course and whether you are planning to run an experiment.

If you have a research question or idea for an experiment that you would like to see as an assignment, remember to include a very brief proposal in your application. If you have any intro­ductory readings, feel free to suggest these, too.

Please make sure you can attend the full course. From a pedagogical angle and out of fairness toward the other participants, it is not acceptable to miss major parts of the course for any reason, including the supervision of student exams.

luential for management research and practice. At the end of the course participants will be familiar with the key concepts, respective empirical findings, and their application to management practice. To this end, each participant will be asked to present in class recent research pertaining to the theory s/he chooses, and to conduct an interactive exercise to facilitate a more comprehensive understanding of the theory’s relevance for management research and practice. During the kick-off session, participants wil receive an introduction to psychological research, and will be asked to choose one of the theories.

Syllabus: Psychological Theories

Registration: By email to anna.brzykcy@tum.de until May 14, 2020. Participants will be admitted on a first come, first served basis.

achine Learning models. It also teaches some highly relevant python packages, version control, project management. Each afternoon (except on the first day) the students work on their own applied exercises – the course is thus totally applied.

Please bring your own laptop + charger.

Syllabus: Python Course Outline

Registration: By e-mail to doctoralprogram@wi.tum.de until March 15, 2020. Max. 25 participants. First come, first served.

and experimental economics. What are the main historical milestones? What have been the hot topics of recent years? In which direction is the literature currently moving? (B) You will learn to recognize some essential features of good (and not so good) behavioral/experimental papers and be able to apply that knowledge to your own work. (C) We will practice the essential skill of pitching one’s own experimental/behavioral research effectively to others, be it at a conference, over lunch/dinner/coffee, in an interview slot with an invited seminar speaker, in a taxi, etc.

Syllabus: Topics In Behavioral And Experimental Economics

Registration: m.kurschilgen@tum.de (before May 1). Please write Topics ExpEcon as email subject.

Capacity: 16 participants