Author Archives: Claudia Meister

VHB ProDok Kurs

Gender, Diversity, and Inclusion Research

The course aims to introduce students to the leading concepts and current discussions in gender, diversity, and inclusion research with a particular focus on those that are shaped by and relevant to the contemporary societal changes, developments, and global challenges. The course is structured in two blocks. In the first block (in June, online) students will be introduced to relevant concepts, theories, management practices, and ongoing debates in this field of study. Based on this and students’ preparation during the summer months, students will present their insights and (if applicable) their research ideas in the second block (in September, in person in Berlin).

Upon successful completion of the course, students will:

  • Acquire knowledge of past and current issues addressed in gender, diversity, and inclusion (GDI) studies from varying research paradigms;
  • Develop an understanding of how GDI research can address societal changes, developments, and challenges;
  • Be familiar with the latest evidence-based knowledge on how individuals, teams/groups, structure/context, and organizational policies/practices influence individual inclusion-exclusion experiences and behaviors in organizations;
  • Advance their reflective and critical thinking skills in analyzing the role of organizational practices for GDI at the workplace;

Date:

June 12-13, 2023, 10am – 5pm: online (Zoom)
September 25-26, 2023, 10am – 5pm: Berlin (Harnack-Haus, Berlin-Dahlem, Ihnestr. 16-20)

Location:

Online / Berlin

Course Language:

German or English (depending on participants)

Lecturer:

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 610,00 Euro
VHB-member: 490,00 Euro

Registration Deadline: 14. Mai 2023

VHB ProDok Kurs

Advanced Topics in Asset Pricing and Capital Market Research

Starting from a solid theoretical foundation, this course provides students with an understanding of important empirical methods and their application in asset pricing. It covers both the classical approaches based on Fama and MacBeth (1973) and Black, Jensen and Scholes (1972) – which are still widely used in current research – and GMM-based estimation methods. Furthermore, it shows how machine learning approaches can be meaningfully incorporated into modern asset pricing.

The course intends to enable students to plan and carry out empirical research in asset pricing on their own and prepares for an empirical PhD thesis in this area of finance.

Date:

03. – 06. Juli 2023

Location:

MLP Campus
Alte Heerstraße 40
69168 Wiesloch

Language:

English

Lecturers:

Prof. Dr. Joachim Grammig, University of Tübingen

Prof. Dr. Erik Theissen, University of Mannheim

Dr. Jantje Sönksen, University of Tübingen

 

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or email us: prodok@vhbonline.org.

Registration Deadline: 4. Juni 2023

VHB ProDok Kurs

Archival Tax Research

The objective of this course is to enhance your ability to critically evaluate and conduct empirical tax accounting research. This course is also intended to expand your understanding of the interactions between income taxes, financial reporting, and corporate stakeholders, such as investors, analysts, auditors, media, and governmental regulators. In addition to introducing you to tax research that overlaps with research in financial and managerial accounting, corporate finance, and economics, this course should also help you develop:

  1. An appreciation for the role of theory in applied work.
  2. An understanding of research designs commonly used in accounting and finance.
  3. The skills necessary to design and conduct empirical research.
  4. Skills to identify research projects with potential for publication in premier journals.

To achieve these objectives we will read and discuss seminal and recent archival tax research.

Date:

June 19-22, 2023

Location:

Teerhof 58, 28199 Bremen

Course Language:

English

Lecturer:

Webpage:  https://kelley.iu.edu/faculty-research/faculty-directory/profile.cshtml?id=SOREGO

Google Scholar Profile:  https://scholar.google.com/citations?user=sNVUL64AAAAJ&hl=en

Professor Rego is the KPMG Professor of Accounting at Indiana University. Her research examines how taxes affect decisions by managers, investors, and other corporate stakeholders. She has published articles in The Accounting Review, Journal of Accounting and Economics, Journal of Accounting Research, Contemporary Accounting Research, Review of Accounting Studies, the Journal of the American Taxation Association, and the Journal of Law and Economics. She has served as Editor at The Accounting Review (2017-2020), the Journal of the American Taxation Association (2020-2023), and Accounting Horizons (2015-2018). Prior to joining Indiana University in 2011, Professor Rego was an Associate Professor at the University of Iowa (1999-2011). She earned her PhD from the University of Michigan in 1999. She worked as Tax Staff at Arthur Anderson LLP (1993-1995) and as a Corporate Income Tax Auditor for the New York State Department of Tax & Finance (1991-1993).

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline: May 21, 2023

VHB ProDok Kurs

Choice-Based Optimization

Summary and study goals

Demand is an important quantity in many optimization problems such as revenue management and supply chain management. Demand usually depends on “supply” (price and availability of products, f. e.), which in turn is decided on in the optimization model. Hence, demand is endogenous to the optimization problem. Choice-based optimization (CBO) merges discrete choice models with math programs. Discrete choice models (DCM) have been applied by both practitioners and researchers for more than four decades in various fields. DCM describe the choice probabilities of individuals selecting an alternative from a set of available alternatives. CBO determines (i) the availability of the alternatives and/or (ii) the attributes of the alternatives, i.e., the decision variables determine the availability of alternatives and/or the shape of the attributes. We present CBO applications to location planning, supply chain management, assortment and revenue management.

Course Content

Students will learn how to develop and use predictive models (discrete choice models) in the software R and how to introduce such models in mathematical models for decision-making (i.e., mixed integer programs) to consider demand as an auxiliary variable. The models will be implemented in a modeling environment (GAMS). Case studies will be used for practicing purposes.

Date of Event

10. – 13. Juli 2023

Location

SlowDown Travemünde
Priwallpromenade 20
23570 Lübeck-Travemünde

Instructors

Univ.-Prof. Dr. habil. Sven Müller
RWTH Aachen University
https://www.business-school.rwth-aachen.de/dozierende/prof-dr-sven-mueller/

Registration

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or email us: prodok@vhbonline.org.

Registration Deadline: 7. Mai 2023

VHB ProDok Kurs

Meta-Analysis for Management Research

Abstract and Learning Objectives

In all disciplines within management research, numerous relationships (effects of some X on a specific Y) have been studied multiple times, and summarizing the existing empirical findings may result in an important scientific contribution. For example, one could determine the overall effect of a particular marketing instrument (price, advertising, etc.) on sales and whether the effect depends on market characteristics, study design, or other moderators. Meta-analysis encompasses a broad set of methods to conduct a systematic, quantitative review of the literature in order to derive empirical generalizations. As such, conducting a meta-analysis is an excellent project for a PhD student or other (junior) researcher having to review the literature on a particular topic.

This workshop will deal with methods for conducting a meta-analysis. The purpose is to train the participants to conduct and publish a high-quality scientific meta-analysis within the broad field of management research. The seminar will cover the entire meta-analysis research process, from problem formulation, literature search, coding of the effects, analysis, to reporting and publishing the findings.

The emphasis is on knowledge and skills needed to conduct a meta-analysis, not only on the statistical details. All steps of the meta-analysis process (including the statistical analyses) will be demonstrated and practiced in assignments during the workshop. In addition, all topics will be illustrated by means of actual meta-analysis examples. Participants will be informed about relevant literature (textbooks and journal articles) and software supporting meta-analysis projects. In particular, most analyses will be demonstrated using R; in particular the package metafor.

Date:

June 26-29, 2023

Location:

Teerhof58
Gästehaus der Universität
28199 Bremen

Directions: https://www.teerhof58.de/en/#c2081

Language:

English

Instructor:

Prof. Dr. Tammo H.A. Bijmolt, University of Groningen

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline:

May 28, 2023

PhD Course SOEP on Campus – HSU Hamburg

SOEP On Campus

Course Outline:

This workshop offers a short hands-on introduction to the data of the Socio-economic panel study. Participants will be introduced to the content of the study, its data-structure, sample selection and weighting strategy and they will be provided with an overview over the study documentation.  The entire process from identifying and finding variables containing specific information in the dataset to the creation of the final dataset for analysis and first empirical investigations will be discussed. (Participants who already have access to the data via their home-institutions will be able to practice hands-on.) All hands-on problems will be exercised jointly as well. This practical part of the workshop requires familiarity with methods of empirical analysis and advanced programming skills in STATA. An overview of the required STATA skills can be found here (PDF, 274.09 KB)

Instructor:

Dr. Sandra Bohmann, DIW (Deutsche Institut für Wirtschaftsforschung), Berlin

Dates:

The course takes place on the campus of Helmut-Schmidt-University, Hamburg.

20. April 2023

12:30 – 15:00 Inhalte und Struktur des SOEP
15:00 – 15:15 Pause
15:15 – 16:15 Datenstruktur und Aufbereitungshilfen
16:15 – 16:30 Pause
16:30 – 18:00 Hands On I: Aufbereiten eines Längschnittdatensatzes

21. April 2023

09:30 – 11:00 Ziehungsdesign und Gewichtung
11:00 – 12:30: Hands-On II: Gewichtung
12:30 – 13:30: Mittagspause
13:30 – 14:30: Individuum in Kontext
14:30 – 15:00: Pause
15:00 – 17:00: Hands-On III: Multi-Actor Designs

Registration:

If you want to register for the course, please send an email to meisterc@hsu-hh.de

The maximum number of participants is 26.

 

VHB ProDok Kurs

Advanced Topics and Experimental Methods in Consumer Research

This course provides an overview of research and theories in consumer behavior. The topics covered in this seminar should be of interest to doctoral students studying Business, Psychology, Organization Behavior, and Marketing.

The course has two major goals:

  1. To expose students to research in specific areas of consumer research and marketing and to familiarize them with findings in these areas. These broad areas are emotions, sustainable consumer behavior, and human-computer interactions.
  2. To equip students with abilities to conceptualize, design and implement original consumer behavior research.

Students will read a set of core readings in order to gain knowledge of the relevant theoretical foundations, methodological norms, and most recent findings. We will discuss papers published in top journals in consumer behavior, marketing, management, psychology, and economics. One of the best ways for doctoral candidates to understand a research area is to critically review articles describing research in that area. The course will challenge students to adopt a critical stance when reading papers. This approach provides a deeper understanding of specific issues, a better appreciation of the research process, and training in research skills. During the discussion of the key articles on each topic, students will be challenged to review these articles. The class discussion will evaluate the articles and the reviews.

Students will learn to identify gaps in the literature or to apply a research problem to unexplored related phenomena.

Moreover, the second aim of this course is that students develop their own actionable research question and methodological plan. For this, they will be able to collect first data in the lab (BreLab) for their idea(s) (if physical course is possible), with the group and recruited students serving as participants in the respective experiments (otherwise: online data collection). Students will present their idea and potential results and give one another feedback on these ideas.

After completing this course, students will be able to define research questions in various domains of consumer behavior and in different empirical settings, they will know how to implement their research questions into an actionable experimental design, and they will be aware of potential problems and (dis)advantages in their research design

Date:

12 – 15. September 2022

 

Location:

Bremen

Language:

English

 

Lecturer:

Prof. Dr. Kristina Klein

University of Bremen

 

Registration:

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or email us: prodok@vhbonline.org.

 

Registration Deadline: 14. August 2022

Syllabus:

VHB ProDok Kurs

Ethnographic Research

The course is designed for doctorate students in business administration who want to learn about and conduct ethnographic research. The aim of the course is to provide students with methodological foundations and advanced knowledge on ethnographic research in business studies. After attending this course, participants should be able to

  • understand the methodological foundations of ethnographic research
  • differentiate between different approaches to ethnography and be able to assess their strengths and weaknesses
  • plan an ethnographic research design as well as be prepared for methodological challenges in their field research
  • understand ways of analyzing ethnographic data and judge ethnographic research according to quality criteria

 

Date:

September 12 – 15, 2022

 

Location:

Harnack-Haus Berlin

Course Language:

English

Lecturers:

Prof. Dr. Jana Costas,
Europa-Universität Viadrina Frankfurt (Oder)

Prof. Damian O’Doherty

Copenhagen Business School

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: August 14, 2022

VHB ProDok Kurs

Quantitative Empirical Accounting Research and Open Science Methods

This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial accounting issues but also touches on some managerial and auditing topics. After this course, participants should

  • have a clear understanding about the theoretical foundations of quantitative empirical accounting research,
  • know the methodological approaches to and common pitfalls of empirical research designs,
  • have become familiar with a collaborative open science workflow using R/Python/Stata and Github,
  • know how to execute empirical archival studies, including the usability and inter-operability of different data source
  • and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical financial accounting research.

 

Date:

Online: 06.09.22, 09.09.22, 13.09.22, 16.09.22, all slots 9am – noon
In person (Berlin): 05.10.22 noon -07.10.22 noon

 

Location:

Online and in person

 

Course Language:

English

Lecturer:

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 610,00 Euro
VHB-member: 490,00 Euro

Registration Deadline: 7. August 2022

VHB ProDok Kurs

Endogeneity in Applied Empirical Research

Many empirical research projects in business and economics that use non-experimental data struggle with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand, firm performance). The reason is that the identification of a causal effect hinges on the untestable assumption that the error term of a model is uncorrelated with the independent variables. If this assumption is not met, a model is plagued by endogeneity.

The topic of endogeneity has received considerable attention, and it is probably the most frequently encountered troublemaker in a review process at an academic journal.

This course therefore has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation, Matching, Difference-in-Difference) as well as more recent developments (e.g., Gaussian Copulas; Machine Learning and Causal Inference; Synthetic Control Methods; Directed Acyclical Graphs (DAG)). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem.

Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.

After completing this course, students will be able to define and describe endogeneity problems in different empirical settings, they will have a better understanding of whether and when causal identification is possible how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods.

 

Date:

7.9.2022 online and 14.-16.9.2022 face-to-face

 

Location:

Online & University of Tübingen

 

Language:

English

 

Lecturer:

Prof. Dr. Dominik Papies

Universität Tübingen

 

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 650,00 Euro
VHB-member: 530,00 Euro

Registration deadline: August 7, 2022