Data Analysis with Stata: Panel Models

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Timo Friedel Mitze (University of Southern Denmark)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The one-day workshop is organized as a (basic!) introduction to the use of panel data in the different fields of business and social sciences. It is not meant as an expert course in advanced panel data modelling. Participants should take this into account before enrolling for the course.

Panel data (sometimes also referred to as longitudinal data) can be best described as the combination of cross-sectional and time-series information for individuals, firms, regions, countries etc. The main goal of the workshop is thus to provide participants with insights into why and when applied researchers can benefit from working with panel data. The course gives an overview of the different types of micro and macro models that are available for panel data estimation and shows how to properly estimate these models with the help of the statistical software package STATA. Examples of models covered are pooled OLS (POLS), random and fixed effects type models, REM and FEM, respectively, Difference-in-Difference estimation and panel event studies. On the fly, the workshop will show participants how STATA organizes panel data to use the above-described models effectively. Building on these basics, a brief outlook on more advanced panel data estimation techniques will be given.

Course Tools: Please bring your laptop computer. STATA can be installed at the beginning of the IRWS. Licences will be provided. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers. A list of introductory readings will be provided to registered participants ahead of the course.

Exemplary Readings: Baltagi, B. Econometric Analysis of Panel Data. 3rd or higher edition, Wiley.

Data Visualization

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Daniel Schnitzlein (Leibniz University Hannover & Innside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important. Probably the most important skill in this context is the ability to create good visualization of your main (quantitative data-based) results.

Today, data are everyday companions in almost all scientific and professional fields. The graphical representation of data is both an elementary step in the analysis process and an important component in communicating the results. The course Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise representations with the help of many practice-oriented examples. The course consists of 50% lectures and 50% hands-on sessions.

Requirement of students: Basic knowledge of empirical (quantitative) social and economic research is beneficial but not strictly necessary. The methods trained in this course are applicable to all visualization tasks independent of the applied software package. Visualization examples will be based mainly on R. Code examples will be provided within the lecture. A selection of examples will also be available in Excel and Python.

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

Questionnaire Design

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Daniel Schnitzlein (Leibniz University Hannover & Innside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The course provides an overview of the theoretical basics and empirical evidence of questionnaire design. The cognitive process of survey responding, challenges of designing effective survey questions including aspects of proper question wording and optimal response formats, as well as pretest techniques for evaluating survey questions will be discussed. A practical part will accompany the lecture.

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

Gastvortrag Forschungsdatenzentrum: Betriebs- und Organisationsdaten und die Möglichkeiten der Archivierung qualitativer Daten/HSU Hamburg

Im Rahmen einer Vortragsreihe des Forschungsclusters OPAL der Helmut-Schmidt-Universität Hamburg/Universität der Bundeswehr wird folgender Gastvortrag angekündigt:

Vortragender: Tobias Gebel, Wissenschaftlicher Mitarbeiter in der Abteilung Forschungsinfrastruktur des DIW Berlin

Vortragstitel: „Das Forschungsdatenzentrum: Betriebs- und Organisationsdaten und die Möglichkeiten der Archivierung qualitativer Daten“

Datum des Vortrags:  25. April 2022 um 18:00 – 19:30 Uhr

Der Vortrag findet im hybriden Format statt. Für Zugangsinformationen schreiben Sie eine Email an meisterc@hsu-hh.de.

A differentiated Europe and its implications

The core objective of this course is to address differentiation as a central concern in European studies, across academic disciplines from political science, public policy and public administration, to law, sociology and history. All modern political systems are differentiated; the EU is distinctly so. Precisely how and what the implications are for the EU and its member states remain contested. The course aims to conceptualize differentiation, discuss causes and effects of differentiation, and show how differentiation manifests itself internally in the EU and in the EU’s relations with non-members.

Date:
21-24 June 2022

Location:
University of Oslo, zoom

Course Language:
English

Lecturer:
– John Erik Fossum, Professor of Political Science, ARENA and EU3D Scientific Coordinator
– Jarle Trondal, Professor of Political Science, ARENA and University of Agder

Other contributors:
– Dirk Leuffen, Professor of political science and international politics at the Department of Politics and Public Administration, at the University of Konstanz, and work-package co-leader in EU3D
– Benjamin Leruth, Assistant Professor in European Politics and Society, University of Groningen
– Vivien A. Schmidt, Jean Monnet Professor of European Integration, Professor of International Relations in the Frederick S. Pardee School of Global Studies and Professor of Political Science at Boston University
– Sieglinde Gstöhl, Director of the Department of EU International Relations and Diplomacy Studies and full-time Professor, College of Europe in Bruges

Registration:
Find more information here: https://www.sv.uio.no/arena/english/research/news-and-events/news/2022/phd-course-on-differentiation-announcement-2022.html
or email us: s.m.hoffmann@arena.uio.no.

Registration Deadline: May 15, 2022

ZBW – Leibniz Informationszentrum Wirtschaft

Digitaler Workshop „Gute Wissenschaftliche Praxis und Reproduzierbare Forschung mit STATA“

Im Workshop zeigen wir, wie Analysecodes und Daten reproduzierbar und entsprechend den Richtlinien renommierter Journals aufbereitet werden. Wir geben einen Überblick über die Anforderungen der wichtigsten Drittmittelgeber, Fachzeitschriften und Fachgesellschaften in den Wirtschaftswissenschaften.

Datum:

22. März 2022 von 10:00-15:00 Uhr

Anmerkung:

Der Kurs ist bereits seit dem 8.3.22 ausgebucht. Interessenten können sich aber trotzdem noch auf eine Warteliste setzen lassen und ggf. nachrücken, falls andere Teilnehmer ausfallen sollten.

Adressatenkreis:

Der Workshop richtet sich vorrangig an Master-Studierende und Promovierende der Wirtschaftswissenschaften, die am Anfang ihrer Dissertation stehen, mit quantitativen Daten arbeiten und STATA als Statistiksoftware nutzen. Teilnehmende sollten deshalb Kenntnisse von Statistik/Ökonometrie und Erfahrungen im Umgang mit einer Statistiksoftware haben.

Die Teilnehmerzahl ist auf 30 Personen begrenzt, um allen Teilnehmenden ausreichend Möglichkeit für Fragen und zur Diskussion der Themen zu ermöglichen.

Die Teilnahme ist kostenlos.

Anmeldung:

Bitte über die Webseite der ZBW:

https://www.zbw.eu/de/ueber-uns/veranstaltungen/stata-digital-3

McKinsey Symposium

“Forschergeist 2022“

Ein Symposium von McKinsey unter dem Motto “Wirtschaft trifft Wissenschaft – Gemeinsam die Herausforderungen von morgen angehen”

 

Adressatenkreis:

Promovierende, Postdocs und Professionals mit bis zu fünf Jahren Berufserfahrung

Ausrichtung und Ort:

Bei dem interdisziplinären Event kommen Teilnehmer:innen aller Fachrichtungen unter dem Motto „Wirtschaft trifft Wissenschaft – Gemeinsam die Herausforderungen von morgen angehen“ auf Schloss Velen zusammen.

Datum:

29.04.-01.05.2022

Anmeldung:

Bewerbungen sind online bis zum 28. März möglich.

Weitere Informationen:

https://www.karriere.mckinsey.de/event/forschergeist

VHB ProDok Kurs

Foundational Theories of Strategic Management Research

The main objective of the course is to familiarize doctoral students with the basic assumptions, concepts and theories underlying the field. In essence, we want to help doctoral students to become independent scholars who are knowledgeable on the major theories in the field of strategy.

Date:

June 2022, 13-16

Location:

University of Passau

Course Language:

English

Lecturer:

Prof. Jeffrey J. Reuer, University of Colorado

Registration:

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

Registration Deadline: May 15, 2022

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 October, 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 7-8, 2022, 10am – 5pm: online (Zoom)
October 4-5, 2022, 10am – 5pm: Berlin (Harnack-Haus, Berlin-Dahlem, Ihnestr. 16-20)

Location:

Online / Berlin

Course Language:

German or English (depending on participants)

Lecturer:

Univ.-Prof. Dr. Renate Ortlieb (University of Graz)

Dr. Lena Knappert (Vrije Universiteit, VU, Amsterdam)

Registration:

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

Registration Deadline: 8. Mai 2022

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:

30. May – 2. June 2022

Location:

MLP Campus
Alte Heerstraße 40
69168 Wiesloch

Language:

English

Lecturers:

University of Tübingen

University of Mannheim

University of Tübingen

Registration:

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

Registration Deadline: 1. May 2022