Doctoral Program

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

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: Advanced Topics In Finance

Registration: Please send an email to matthias.hanauer[at]tum.de by September 20, 2019. 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.

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 7, 2019

rden mit diesem Seminar die Mindesanforderungen von 22,5 Vollzeit-Präsenzstunden erreicht. Im Rahmen des Seminars werden aktuelle Veröffentlichungen zum Einsatz von Conjoint-Analyse im wissenschaftlichen Umfeld diskutiert sowie die Vor- und Nachteile der Methode herausgearbeitet (siehe Seminar begleitende Literatur: Wildemann – Conjoint-Analyse und Kundenorientierung). Ebenso Bestandteil des Seminars ist die Erarbeitung einer Vorgehensweise Conjoint-Analysen aufzubauen, welche in Form von Gruppenarbeiten erarbeitet wird. Ziel des Seminars ist, dass die Teilnehmer/-innen in Ihrem Forschungsumfeld Conjoint-Analysen gezielt einsetzen können, um empirische Erhebungen durchzuführen.

Syllabus: Empirische Forschung mit Hilfe der Conjoint-Analyse – Eine Einführung

Registration: Alle interessierten Doktoranden/-innen müssen sich bis spätestens zwei Wochen vor Verantstaltungsbeginn per E-Mail anmelden (E-Mail: wisekretariate@wi.tum.de)

ociated with machine learning theory, methodologies and novel business applications. We will discuss basics of estimation as a machine learning problem. In the process we will cover problems such as regression (classication as regression), classication, clustering, and reinforcement learning as well as methodologies used for solving these problems. We will discuss articles which have used these formulations and methodologies as an integral part of the seminar.

Students taking this seminar should have some background in probability theory, statistics, linear algebra, algorithms and optimization theory. Though not necessary, knowledge of R and/or Python is also helpful.

The seminar is a mixture of lectures (by me) and presentations by you. Each student will have the option to discuss an article that is relevant to the topics covered here and/or present a relevant research idea.

Syllabus: Machine Learning – Theory, Methodology and Business Applications

Registration: Please contact Ms. Christine Steinberger, steinbergerch@tum.de. Max. 20 participants. First come first served.

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.

Syllabus: Paper Design Workshop

Application process:
Please submit to o.alexy@tum.de by 30.11.2019: 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.

s at leading journals. The course is an intensive one-week course, where participants are expected to focus exclusively on this course. Participants are expected to submit a piece of writing before the start of the seminar. This can be a draft of a conference paper or a draft of a regular paper. The goal is to course is to revise the written piece after each day of the PhD course. At the end of the course, the initially submitted piece of writing should be revised substantially and should be re-submitted to the professor. Participants should also actively take part in the discussions.

Prerequisites: First writing experience (in English). Please note that attendance is expected on all three days.

Syllabus: PhD Seminar on Scholarly Writing

Registration: By email to doctoralprogram@wi.tum.de. Participants will be admitted on a first come, first served basis. The maximum number of participants is 20. Please include information on your paper etc. that you would like to work on.

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 both psychological research and psychological research methods and will be asked to choose one of the theories. Thus, the attendance on that day is required.

Syllabus: Psychological Theories

Registration: By email to: kerstin.loewe@tum.de until November 13, 2019 (Wednesday). 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. Academy of Management Journal). In this seminar you will learn about the nature, design, and methods of qualitative data collection and analysis. The seminar is targeted at postgraduate students (PhD and post doc researchers), who intend to employ qualitative research designs and methods.

Syllabus: tbd

Registration: If you want to attend and participate in the postgraduate seminar, write an email to: Frank.Belz@tum.de. The registration deadline for the seminar is the tbd. Prof. Dr. Frank-Martin Belz will confirm your registration and grant access to the required readings.

and technical aspects of this research program. After this course, participants should

• know of state-of-the art accounting literature
• understand the methodological approaches to empirical archival accounting research
• know (and avoid!) common pitfalls of empirical archival research designs
• have a feeling for the most important aspects for publishing in top-journals in accounting
• be able to identifying interesting, important, and researchable topics in financial accounting
• be able to formulate testable hypotheses about research topics
• be able to empirically test hypotheses using valid, powerful, and otherwise wellchosen research designs
• be able to identify topics and settings for your own research/PhD projects

Syllabus: Readings In Empirical Accounting Research

Registration: Please write an e-mail to benedikt.downar@tum.de by October 10th, 2019 at the latest.

is no boiler-plate template to follow. In this course, we will look at different paths that authors have taken when writing up qualitative work, discuss how to tackle reviewers’ comments and participants will get a chance to reflect on their own writing and how to make it more transparent.

Syllabus: Publishing Qualitative Papers

Registration: Please register by sending an e-mail to Prof. Breugst (nicola.breugst@tum.de).