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

VHB ProDok Kurs

Meta-Analysis

 

Abstract and Learning Objectives

Meta-analyses have become increasingly popular in many fields of the social sciences incl. business and management research. The results of meta-analyses attract substantial interest by both scholars and practitioners, as indicated by high citation numbers and widespread dissemination of meta-analytic findings in the media.

By summarizing results drawn from a set of studies concerning a specific topic and by discovering and explaining consistencies and inconsistencies of those results, meta-analysis is an essential step in the process of knowledge accumulation, theory building and theory testing in science, linking past research with future scientific endeavors.

The course targets researchers who are interested in understanding, conducting, and publishing meta-analytic research. Participants of this course will learn how to conduct and publish a high-quality meta-analysis in the area of management and business research. To this aim, the course follows a step-by-step procedure that covers the entire meta-analysis research process, including problem formulation and definition of a research question for a meta-analysis, literature search, study and effects coding, data preparation and analysis, and reporting and publishing. Participants will further learn how to evaluate meta-analyses in the business and management literature and to follow the respective methodological discussion about meta-analyses in their field.

 

Date:

September 6 – 9, 2022

 

Location:

Harnack-Haus Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin

Language:

English

Lecturer:

Prof. Dr. Martin Eisend

European University Viadrina

 

Registration:

 

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Registration Deadline: August 7, 2022

VHB ProDok Kurs

Managing Interorganizational Relations – Process Views

Abstract and Learning Objectives

This doctoral seminar exposes students into advanced theories of organization with a particular focus on process perspectives on the management of interorganizational relations. While interorganizational relations (IOR) are often studied from a rather static, network-analytical perspective or with a focus on bilateral ties, this doctoral seminar is geared towards students that are interested in IOR, in particular those of a collaborative nature, as complex process systems that require ongoing practices of their management.

Students should be familiar with „classic“ management and organization theories such as the theory of bureaucracy, institutional theory, or contingency theory before taking this course.

After this course, participants will be able to:

  • Understand the relevance and forms of IOR in diverse empirical contexts
  • Understand the basic pillars of process theories of organizations and be able to apply this thinking to the context of IOR
  • Understand core challenges and tensions regarding the management of IOR
  • Develop relevant research questions that promise theoretical contributions in the management of IOR

Date of Event:

September 5-8, 2022

Location:

Harnack-Haus Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin

Univ.-Prof. Dr. Elke Schüßler
Johannes Kepler Universität Linz
https://www.jku.at/institut-fuer-organisation/ueber-uns/team/profin-drin-elke-schuessler/

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Registration Deadline: July 24, 2022

VHB ProDok Kurs

Advanced Topics in Experimental Accounting Research

The purpose of this course is to provide advanced insights into experimental research from managerial accounting, financial accounting and auditing. Therefore, this course covers recent experimental studies from these three accounting areas that apply behavioral decision theory, psychology, and economics to address a variety of accounting research questions. Each study is intended to provide insights into specific and advanced questions of how to motivate, develop, design and write up an experimental study. Therefore, even though from different accounting disciplines, all studies are relevant to all students as they treat fundamental questions for experimental research. The course includes published research, as well as working papers, mainly from leading accounting researchers in the field.

The goals of this course are

  • to deepen students’ understanding of experimental research, particularly in the field of accounting,
  • to help students develop the skills necessary to critically evaluate such research,
  • to help students develop and motivate their own research ideas,
  • to help students develop rigorous experimental designs for conducting their own research,
  • to challenge the limits of the experimental research method for accounting research questions.

 

Date:

29. August – 1. September 2022

Location:

Harnack-Haus Berlin

Language:

English

Lecturer:

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Registration deadline: 24. Juli 2022

16th International Research Workshop – Methods for PhD (28 August – 2 September 2022)

16th International Research Workshop – Methods for PhD
28 August – 2 September 2022
Akademie Sankelmark, Flensburg (Germany)
http://www.phd-network.eu/irws/programme/

PROGRAMME

PARALLEL MORNING SESSION 1 (29 – 31 August 2022)

PARALLEL AFTERNOON SESSION 2 (29 – 31 August 2022)

PARALLEL SESSION 3 (1 September 2022)

WORKSHOP COMMITTEE:

  • Dr. Wenzel Matiaske, Helmut-Schmidt-University
  • Dr. Simon Jebsen, University of Southern Denmark
  • Dr. Heiko Stüber, Institute for Employment Research

FEES & CREDIT POINTS

539 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

For any questions, don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com).

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
  • Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg
  • 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

University of Bamberg: Two DAAD GSSP Scholarships for Doctoral Candidates

Scholarships
The scholarships are available from 01 April 2023. DAAD scholarships for international candidates are available for up to four years. We welcome applications from graduates aiming to write their doctoral thesis at the Bamberg Graduate School of Social Sciences. The school supports scholarship holders through personal mentoring, workshops and support services. The Bamberg Graduate School of Social Sciences is a multidisciplinary Graduate School funded by the German Research Foundation (DFG) as part of the German Excellence Initiative. We are seeking to stimulate and guide cutting-edge doctoral research on some of the most crucial challenges modern knowledge-based societies are facing.

Qualification & Requirements
We are inviting applications by highly qualified graduates from the fields of Sociology, Psychology, Educational Science, Political Science, Labour and Educational Economics, Demography and Statistics. Candidates must hold a Master’s degree (or equivalent) in one of the aforementioned subjects or be very close to completion and should not have lived in Germany for more than 15 months by the start of the membership.
Successful applicants will be required to take up their residence in Bamberg, a city noted for its high quality of life and great conditions for research and study. DAAD scholarships amount to a monthly stipend of 1,200 EUR, plus insurance and other allowances according to the DAAD guidelines. The Graduate School is committed to diversity, equal opportunities and the compatibility of family and career within its statutory obligations.

Specialised research agendas are arranged in four thematic pillars:
A detailed list of topics that will be supervised by professors in our four pillars can be found here: www.uni-bamberg.de/bagss/application/topics

Pillar 1: Education, Personal Development and Learning from Early Childhood to Adulthood
Pillar 2: Educational and Social Inequality Across the Entire Life Course
Pillar 3: Changes in Human Capital, Labour Markets and Demographic Structures and Their Impact on Social Structures in Modern Societies
Pillar 4: Governance Institutional Change and Political Behaviour

The deadline for the submission of your application is Thursday, 15 September 2022
For further information about the Graduate School, the application process and the required documents, please visit our website: www.uni-bamberg.de/bagss/application

VHB ProDok Kurs

Marketing Strategy Performance: Theory, Models, and Empirical Applications

Against the background of increasing pressure from the capital market and major corporate trends such as digitization, marketing managers are more and more forced to demonstrate the performance and value relevance of their decisions. Marketing scholars have responded to this development and produced numerous articles that relate marketing decisions with the creation of market-based assets (e.g. customer satisfaction), product-market performance (e.g., market share), accounting performance (e.g., return on assets), and financial-market performance (e.g., stock returns). The course aims at providing an overview of this literature, both from a conceptual/model-based perspective and from an empirical point of view. After having attended the course, students should be able to:

  • Understand central concepts of marketing strategy performance research and be able to establish links between these concepts;
  • Understand the basics of market response modeling and recognize the relevance of model specification for the validity of empirical estimation results;
  • Understand, categorize, and criticize high-quality (“A+”) articles within the research field;
  • Know key data analysis methods within the research field including their scope of application as well as their limitations and conduct first own analyses using standard software (R);
  • Develop relevant and interesting research questions with a potential for a high-quality publication.

Date:

July 11-14, 2022

Location:

Fritz Thyssen Stiftung, Apostelnkloster 13-15, 50672 Köln

Language:

English

Lecturer:

Prof. Dr. Marc Fischer (Universität zu Köln)

Prof. Dr. Simone Wies (Gotehe-Universität Frankfurt/M.)

Prof. Dr. Alexander Edeling (Universität zu Köln)

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: June 12th, 2022

16th International Research Workshop – Methods for PhD (28 August – 2 September 2022)

16th International Research Workshop – Methods for PhD
28 August – 2 September 2022
Akademie Sankelmark, Flensburg (Germany)
http://www.phd-network.eu/irws/programme/

PROGRAMME

PARALLEL MORNING SESSION 1 (29 – 31 August 2022)

PARALLEL AFTERNOON SESSION 2 (29 – 31 August 2022)

PARALLEL SESSION 3 (1 September 2022)

WORKSHOP COMMITTEE:

  • Dr. Wenzel Matiaske, Helmut-Schmidt-University
  • Dr. Simon Jebsen, University of Southern Denmark
  • Dr. Heiko Stüber, Institute for Employment Research

FEES & CREDIT POINTS

539 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

For any questions, don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com).

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
  • Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg
  • 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

Qualitative Comparative Analysis (QCA)

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Jonas Buche (Leibniz University Hannover)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Since publishing the seminal work “The Comparative Method” by Charles Ragin in 1987, set-theoretic methods and especially Qualitative Comparative Analysis (QCA) have become a common research strategy in the social sciences. Set-theoretic methods analyse cases concerning identifying sufficient and necessary conditions and assume set relations to be equifinal, conjunctural and asymmetric. Not least, since so-called fuzzy sets have been introduced to the method, there has been a rising interest in QCA as a welcome alternative to both small-n case studies and large-n statistical analyses. In short, QCA is recommended if ‘if…then’ hypotheses are analysed, if the goal is to derive sufficient and necessary conditions, if a comparison is planned, and if there is a mid-sized number of cases (between 10 and 60+).

The course offers a comprehensive introduction to QCA and is both conceptually and technically oriented. It starts off with an overview of the basics of set theory and demarcates QCA as a case-oriented method from both the quantitative and the interpretive-qualitative research paradigm. The single elements are built into the Truth Table Algorithm through the notion of necessary and sufficient conditions and truth tables. However, this algorithm is not free of problems. Therefore, some pitfalls and strategies on how to overcome them are presented. The software tool fsQCA will be introduced and applied to published studies on the third day.

A requirement of students: No prior knowledge is required. We will use the software fsQCA2.5, which can be downloaded at www.fsqca.com.

Recommended literature and pre-readings:

You have to register for the International Research Workshop to participate in this course.

Data Analysis with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Stefanie Heyne (MZES, University of Mannheim)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Stata is a statistical program package widely used (not only) in the social and economic sciences; it is used for data management, statistical graphics, and analysis of quantitative data. Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics. The course should enable participants to prepare their data for analysis, perform adequate analysis using a statistical computer program, and document these tasks to keep them reproducible.

For Beginners with no or very little Stata knowledge!

Course topics cover:

  • “What You Type Is What You Get”: Basic Stata Command syntax
  • Getting (and Understanding) Help within Stata: Stata Built-in Help System
  • Basic Data Management: Load and Save Stata Datasets, Generate and Manipulate Variables, Describe and Label Data and Variables, Perform Basic uni- and bivariate Analyses, and Change the Structure of your Data.
  • Basic Stata Graphics: Scatterplot, Histogram, Bar Chart
  • Working with “Do-” and “Log-” Files

A requirement for students: Statistical concepts will not be part of the course, so participants should have some basic knowledge of statistics.

Recommended literature and pre-readings: None.

You must register for the International Research Workshop to participate in this course.