Author Archives: Simon Jebsen

Qualitative Comparative Analysis (QCA)

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Jonas Buche, (Goethe-University Frankfurt)

Date: Thursday, 01/10/15 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Since the publication of 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 analyze cases with regard to the identification of sufficient and necessary conditions and assume causal relationships 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 analyzed; 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 starts off from an introduction into the basics of QCA (sets, set memberships, set operations). Through the notion of necessary and sufficient conditions and of truth tables, the single elements are built into the Truth Table Algorithm. However, this algorithm is not free of problems. Therefore, some pitfalls and strategies how to overcome them are presented.

  1. The course is both conceptually and technically oriented. No prior knowledge is required.
  2. We will use the software fsQCA2.5 which can be downloaded at www.fsqca.com. Please note that the software does not operate on Apple Products!

Recommended literature and pre-readings:

  • Schneider, Carsten Q. and Claudius Wagemann (2012), Set-Theoretic Methods for the Social Sciences. Cambridge: Cambridge University Press.
  • Ragin, Charles C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. Chicago: University of Chicago Press.
  • Freitag, Markus, and Raphaela Schlicht. 2009. “Educational Federalism in Germany: Foundations of Social Inequality in Education.” Governance 22 (1): 47-72.
  • Emmenegger, Patrick. 2011. “Job Security Regulations in Western Democracies: A Fuzzy Set Analysis.” European Journal of Political Research 50 (3): 336-64.

You have to register for the 9th International Research Workshop to participate in this course.

Structural Equation Modeling (SEM) with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Holger Steinmetz (University of Paderborn)

Date: Tuesday, 29/09/15 (14:30 – 18:00) – Wednesday, 30/09/15 (09:00 – 18:00)

Max. number of participants: 25

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Structural equation models (SEMs) have become a powerful tool in the behavioral sciences to test hypotheses about relationships between variables and implications of causal structures. This workshop offers an introduction to the background, principles, opportunities, and limitations of SEMs. These issues are illustrated using the lavaan package (latent variable analysis) that is run within the free software platform R. Lavaan has recently become a serious competitor to commercial software packages and is delivers almost everything a user needs to perform SEM. Participation to the course requires some basic knowledge of regression analysis, variances, covariances of variables, and inferential statistics. Knowledge of R is not necessary.

Course topics cover:

  • A short treatment of causality (the counter factual approach) and introduction to causal models and their illustration with path diagrams / causal graphs.
  • The principle behind estimating parameters and basis for evaluation the adequacy of the model (e.g., chi-square test) including Wright’s path tracing rules and Pearls d-separation.
  • Treatment and modeling of latent variables and the connection to theoretical constructs.
  • Explanation of the lavaan syntax and exercises (modeling own data / models of the participants is appreciated).
  • Reasons for misfitting models, evaluation, diagnostics, and re-specification.
  • The problem of endogeneity and the valuable role of instrumental variables in SEMs.

Required packages to be installed:

  • psych
  • car
  • Hmisc
  • MASS
  • QuantPsyc
  • Boot
  • Mnormt
  • Pbivnorm
  • quadprog
  • simsem
  • lavaan

Prerequisites for attending:

  • Basic knowledge of statistics (variance, co-variance) and regression analysis.

You have to register for the 9th International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Michael Großbach (Hanover University of Music, Drama and Media)

Date: Monday, 28/09/15 (09:00 – 18:00) – Tuesday, 29/09/15 (09:00  – 12:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Data analysis is one of the key skills for quantitative researchers. But data analysis is more than just your Stats 101 course in grad school. And it’s not only more I argue, it’s different. Data are not normal, there are outliers and missing values. Data often do not comply with our hypotheses. And yet we can learn from data, given the appropriate tools.

This course introduces the interactive and programmable statistical and graphics software environment R (http://www.r-project.org/), and the Integrated Development Environment RStudio (http://www.rstudio.com/) that provide a polished interface to R. The main topics will be reading data into R, exploratory data analysis – i.e. graphically scrutinising data -, data munging and, finally statistical analysis. Participants will build an ever-expanding knowledge of R as we go along.

Intermittently, participants will be given (anonymous) tests to allow for an evaluation of and give them feedback on their learning progress.

Prerequisites for attending:

  • A basic understanding of descriptive and (classic) inferential statistics would definitely be helpful
  • A laptop equipped with a wireless adaptor and a recent web browser

You have to register for the 9th International Research Workshop to participate in this course.

Measuring Preferences using Conjoint Analytic Methods and Advanced Compositional Approaches

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Martin Meissner (University of Southern Denmark/Department of Environmental and Business Economics)

Date: Thursday, 01/10/15 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The participants of this course develop a sound understanding of the benefits of using conjoint analytic preferences measurement approaches and alternative advanced compositional approaches. Participants gain practical experience of using conjoint-analytic methods, and developed a better understanding of the value of measuring preferences.

The course starts with introducing the basic concepts behind the measurement of stated preferences, specifically focusing on conjoint analysis. The most often used approaches, i.e. traditional conjoint analysis, adaptive conjoint analysis and choice-based conjoint analysis are introduced. We deliberate on advantages and disadvantages of the approaches and also discuss advanced compositional approaches, like pairwise-comparison based preference measurement and the adaptive self-explicated approach. During the workshop we will further talk about all the important stages of designing a preference measurement study. We pay special attention to the types of research questions that conjoint analysis can answer. We also discuss the most important questions you should answer before setting up your preference measurement/conjoint study: What is the optimal choice of attributes and attribute level? What is a good experimental design? How should I design my survey design and present potential choice scenarios? How do I analyze the results?

Participants will have the opportunity to use Sawtooth Software on their own laptops and build their own conjoint analysis survey during the course. Based on this experience, participants will be able to improve the planning of their own future experiments.

Recommended literature and pre-readings:

  • Bradlow, Eric T. (2005), “Current Issues and a ‘Wish List’ for Conjoint Analysis,” Applied Stochastic Models in Business and Industry, 21 (4-5), 319-323.
  • Hauser, John R. and Vithala Rao (2003), “Conjoint Analysis, Related Modeling, and Applications,” in Advances in Marketing Research: Progress and Prospects, in Marketing Research and Modeling: Progress and Prospects, Wind, Jerry and Paul Green (eds.), New York: Springer, 141-168.

You have to register for the 9th International Research Workshop to participate in this course.

Analyzing Panel and Spatial Data

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Nisar Ahmad & Assoc. Prof. Timo Friedel Mitze (University of Southern Denmark/Department of Border Region Studies)

Date: Tuesday, 29/09/15 (14:30 – 18:00) – Wednesday, 30/09/15 (09:00 – 18:00)

Max. number of participants: 30

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course is basically divided into two parts: Part 1) Analyzing panel data. Part 2) Spatial Data Analysis

Part 1): Analysis of Panel Data:

This part of the course is an introduction to the panel data analysis and it provides some insights into why we use panel data. What kinds of models are available for panel data and how do we estimate such models. It also covers some extensions to the basic panel data models and finally there will be a session where you will learn how to estimate panel data using STATA.

Prerequisite: Basic knowledge of Econometrics. OLS, GLS. Please bring your laptop computers with STATA installed on it.

Recommended literature and pre-readings:

  • Relevant Chapters in Cameron, A.C. und Trivedi, P.K. Microeconometrics: Methods and Applications, 2005, Cambridge University Press, Chapter V

Part 2): Spatial Data Analysis

In research fields such as regional science, quantitative sociology and business analysis as well as real estate, labor and health economics (to name just a few), researchers are increasingly aware of the fact that “space matters”. Thus, the goal of this workshop module is to equip participants with the basic knowledge about methods and tools currently available in “spatial statistics” and “spatial econometrics”. Besides presenting the general logic and theoretical foundations of these modeling approaches for variables with an explicit geographical context, a strong focus lies on illustrating the potential for applied work with these tools in the software package STATA. The module is structured as follows: After a brief introduction of the historical evolution of spatial data analysis, different research settings in economics and related research fields are outlined, which may call for the explicit use of spatial estimation techniques, for instance, in order to identify the importance of space-time autocorrelations and neighboring effects (spatial spillovers). Following this introduction, the concept of the spatial weighting matrix is introduced and statistical approaches to measure and visualize the degree of spatial dependence for a variable under study are presented. Moving from univariate to multivariate modeling techniques, the course then derives estimation techniques used in the field of spatial econometrics and links this theoretical knowledge with hands-on applications for different spatial datasets. Finally, to serve as an outlook on future research possibilities, state-of-the-art concepts such as spatial panel data models and spatial limited dependent variable models will be presented. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers.

Prerequisite: Basic knowledge of Econometrics. OLS, GLS.  Please bring your laptop computers with STATA installed on it.

You have to register for the 9th International Research Workshop to participate in this course.

Introduction to the German Socio-Economic Panel Study (SOEP) and Applied Survival Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: PD Dr. Elke Holst (DIW Berlin & University of Flensburg), Andrea Schäfer, SOCIUM/Universität Bremen)

Date: Monday, 28/09/15 (09:00 – 18:00) – Tuesday, 29/09/15 (09:00 – 12:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The German Socio-Economic Panel (SOEP) is a wide-ranging representative longitudinal study of private households. Every year, there were nearly 15,000 households, and about 25,000 persons sampled. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health, integration, values, personality and satisfaction indicators. The course starts with an overview of the data structure and the research designs facilitated by longitudinal household studies that go beyond conventional surveys (household analysis, intergenerational analysis, life course research, etc.). The aim of the second part of this course is to give an introduction to the topic of survival (or time to event) analysis and use SOEP data to illustrate how to plot non-parametric estimates, test for differences between groups and how to fit a Cox’s semi-parametric proportional hazard model. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier estimator and graph, Cox proportional hazards model and parametric models. Accordingly, we will explore the different types of censoring and truncation. Further, we explore the motivation, strength and limits of Cox’s semi-parametric proportional hazard model. Finally we will recap the basis of parametric models.

Required: intermediate statistical knowledge, basic Stata skills

Recommended literature and pre-readings:

You have to register for the 9th International Research Workshop to participate in this course.

Promotionsbegleitung: Vorschlag für eine Reform der Promotionsbetreuung 12.–14. Juni 2015, Erkner (bei Berlin)

In Deutschland prägt die Zweierbeziehung zwischen Doktorand/in und Betreuer/in die Promotionsbedingungen. Sie ist häufig von einer starken Abhängigkeit der Promovierenden gekennzeichnet, zumal die Betreuenden oft sowohl die Funktion der Betreuer und Gutachterinnen übernehmen als auch in Beschäftigungsverhältnissen Vorgesetzte sind. Trotz erster sichtbarer Bemühungen einzelner Institutionen und Akteure, diese Bedingungen (zum Beispiel durch den Aufbau von Graduiertenzentren und die Trennung von Betreuung und Begutachtung) zu ändern, bleibt die Situation für die meisten Promovierenden und Betreuenden weiterhin intransparent. Das veraltete „Meister-Lehrling-Modell“ der Betreuung ist noch immer vorherrschend, während die Rolle anderer Akteure wie Graduiertenzentren und Fakultäten sich nicht immer eindeutig bestimmen lässt. Diese Situation geht nicht selten auf Kosten einer zuverlässigen und qualifizierten Unterstützung der Promovierenden.

Im diesjährigen GEW-Seminar für Doktorandinnen und Doktoranden wollen wir Ansatzpunkte für ein neues Modell der Promotionsbegleitung vorstellen und diskutieren und gemeinsam mit den Teilnehmenden Empfehlungen zur Umsetzung entwickeln. Im Rahmen von Input-Vorträgen, Workshops und Podiumsdiskussion werden Doktorandinnen und Doktoranden sowie Expertinnen und Experten aus Wissenschaft und Politik ihre unterschiedlichen Perspektiven auf das Thema Promotionsbegleitung einbringen. Im Dialog wollen wir die bestehenden Vorschläge zur Verbesserung der Promotionsbegleitung weiterentwickeln. Die Ergebnisse und Impulse aus dem Seminar fließen in das finale Positionspapier zur Promotionsbegleitung der GEW-Projektgruppe Doktorandinnen und Doktoranden ein und sollen zur Erarbeitung konkreter Handlungsvorschläge für Hochschulen und Forschungseinrichtungen genutzt werden.

Zum GEW-Seminar für Doktorandinnen und Doktoranden sind Promovierende und Promotionsinteressierte ebenso wie auch alle weiteren am Thema interessierten Kolleginnen und Kollegen herzlich eingeladen.

Wir bedanken uns beim Bildungs- und Förderungswerk der GEW für die freundliche Unterstützung des Seminars.

Für die Teilnahme erheben wir einen Beitrag von 40 Euro für GEW-Mitglieder bzw. 60 Euro für Nichtmitglieder. Reisekosten sowie die Kosten für Übernachtung und Verpflegung werden von der GEW übernommen.

Anmeldeschluss ist 26. Mai 2015. Aufgrund großer Nachfrage können jedoch schon vorher alle Plätze vergeben sein.

Weitere Informationen

Call for Papers: Teaching Economics in the 21. Century

TEACHING ECONOMICS IN THE 21. CENTURY
The State of Research and Teaching and the Way Forward

Conference jointly organized by Arbeitskreis Politische Ökonomie (AK PolÖk), World Economics Association (WEA), Netzwerk Plurale Ökonomik (Network Pluralist Economics), European Association for Evolutionary Political Economy (EAEPE), Institute for International Political Economy (IPE), Forschungsstelle für wissenschaftsbasierte gesellschaftliche Weiterentwicklung (FWGW) and Research Network Macroeconomics and Macroeconomic Policy (FMM)

Berlin School of Economics and Law
Hochschule für Wirtschaft und Recht, Berlin
26.-29. November 2015

Critics contend that economic research and teaching and economic policy advice continue to follow a neoclassical paradigm to the exclusion of competing approaches, despite the sobering experience of the financial crisis. Those who defend the neoclassical mainstream tend to point to cite more complex and advanced models in order to proof that the mainstream-models are not as biased and unrealistic as critics contend. However, the relevance of models is questionable, as long as they do not find their way into undergraduate textbooks and curricula for students of economics. After all, most students who are exposed to economics teaching leave university with undergraduate textbook knowledge and the restricted toolbox and hidden ideological bias contained in these textbooks. Where economics is taught at high school level, it is often a similarly biased and restricted body of knowledge, which is presented as “economics”. Therefore, the abovementioned associations are organizing a joint conference to analyse and to help modernize the prevailing textbook content. We want to start a fruitful dialog between authors and publishers of textbooks and teaching materials, researchers, teachers and students.

The focus will be on the following topics:

Pluralism of Theories
How many theories should a textbook present, and which theories should be chosen? How much focus should there be on the genesis of these theories? How much weight should e.g. be given to history of economic thought, economic history and the philosophy of science? How should a pluralistic textbook be organized?

Pluralism of Methods
Should model-based reasoning be presented as the gold standard of economics? Which qualitative methods could help improve our understanding of the (globalized) economy? How can qualitative methods be combined with quantitative ones in a fruitful way to analyze economic issues? Which models could be taught outside the paradigm of economies in equilibrium?

Pluralism of Disciplines
How interdisciplinary can or should a textbook be? How can the academic isolation of economics be overcome that has developed over many decades? Which roles should knowledge from other fields like sociology, law, political science, biology, and philosophy play in teaching economics?

Pluralism of Teaching Methods
Why do textbooks play such a dominant role? Should they? What are their goals and what are their limitations? Does the dominant role of some particular textbooks pose a problem? If it does, what should be done? How should alternative textbooks be structured and written? Which teaching materials are being used at school and in other non-academic contexts? How do these need to change?

The conference will approach these questions in a variety of formats. Participants are invited to present and discuss either contributions addressing specific narrow questions or position papers covering a whole range of issues. Authors of textbooks are invited to report on their experiences and results regarding the inclusion of pluralistic content. We would also like to involve students and teachers in a discussion of strategic perspectives. There will be space to present and discuss alternative curriculums. A wide variety of pluralist and heterodox textbooks will be on display at the venue of the conference.
Formally, submissions can consist of elaborated position papers or abstracts of at most 500 words. Accepted position papers will be circulated in advance to all conference participants. They may also be used as introductions and focal points of panel discussions. There is no requirement to submit a paper in order to participate at the conference.

Please send your submission to akpolök@uni-flensburg.de until 12 October 2015. Please find updates and information at http://tinyurl.com/teachingeconomics.

The conference will be partly held in English and partly in German.

Invited keynote speakers include Robert Skidelsky of Jesus College and Jayati Gosh of the University of Cambridge (tbc). The conference will include a panel discussion with Peter Bofinger (University of Würzburg) on the status quo of teaching and textbooks at German-language universities.

We plan to publish the conference papers in book form. A long-term goal is to initiate the production of collectively written textbooks. We are considering awarding a prize with high public visibility to promote the production and use of alternative textbooks.

Call for Papers: Perspectives on Sustainable Consumption (Special Issue of Management Revue)

The problem of sustainability has received serious attention since the Club of Rome pointed to the limits of growth in 1972. Addressing ecological, economic and social issues, it is still a major – perhaps the biggest – challenge humanity faces. The problem demands attention by actors from all social levels. On the micro-level, sustainable consumption is often regarded as the major way how individual consumers can contribute to sustainable development. By now a growing number of people are aware that many consumption habits have to be changed because they are in conflict with the goal of sustainable development. Yet, there is a gap between knowledge and action. Much research has been done in the last 30 years on sustainable consumption, exploring the motivations, practices, opportunities, and drivers for sustainable consumption from economic, psychological and sociological perspectives. Despite this multidisciplinary effort and the often interdisciplinary nature of research on sustainable consumption, there is room for broadening the perspectives further. In particular, the link between political participation and sustainable consumption as a political statement as well as the link between various forms and objectives of political consumption deserves more attention. Further, the impact of societal inequality on sustainable consumption has not gained much attention. Especially research on the interaction between inequality, issues of security and precariousness, political participation and consumption behavior is lacking.

In the special issue, we would like to discuss our topic in an adequately broad and interdisciplinary way. We are particularly interested in questions such as:

  • Inequality (e.g., precariousness) and sustainable consumption
  • Citizenship and consumption
  • Sustainable consumption as a political statement
  • Quantitative and qualitative empirical studies on these issues

This is not an exhaustive list.

Deadline
Full papers for this special issue of management revue must be submitted by July 31st, 2015. All contributions will be subject to a double-blind review. Papers invited to a ‘revise and resubmit’ are due October 31st, 2015. Please submit your papers electronically via the online submission system at http://www.management-revue.org/submission/ using ‘SI Sustainable Consumption’ as article section.

Hoping to hear from you!

Ortrud Leßmann, Helmut-Schmidt-University Hamburg (Germany)
Wenzel Matiaske, Helmut-Schmidt-University Hamburg (Germany)
Torsten Masson, Helmholtz Centre for Environmental Research – UFZ Leipzig (Germany)
Simon Fietze, University of Southern Denmark

Call for Papers: Die Erklärung der Personalpolitik von Organisationen (13. Jahrestagung des Arbeitskreises empirische Sozialforschung)

Call for Papers

13. Jahrestagung des Arbeitskreises
Empirische Personal- und Organisationsforschung

Tagungsthema: Die Erklärung der Personalpolitik von Organisationen

19. und 20. November 2015
Leuphana Universität Lüneburg

Eine zentrale Aufgabe der Personalwirtschaftslehre besteht in der Suche nach fundierten Erklärungen des Arbeitgeberverhaltens. Von besonderem Interesse ist dabei die Frage, wie und warum es zur Herausbildung typischer Muster des Umgangs mit „dem Personal“ kommt. In unserer Tagung geht es entsprechend um die Beschreibung alternativer Formen der Personalpolitik sowie um die Beurteilung der Leistungsfähigkeit der vorhandenen, auf die Erklärung der Personalpolitik ausgerichteten, theoretischen Ansätze.

Zu klären wäre dabei unter anderem, ob monothematische Ansätze ökonomischer, institutionentheoretischer, funktionalistischer, dialektischer oder sonstiger Provenienz in der Lage sind, das komplexe Personalgeschehen zu beschreiben und zu erklären und ob es möglich ist, Ansätze mit unterschiedlichen theoretischen Wurzeln ohne Willkür zu leistungsfähigen Erklärungen zusammenzuführen.

Wir freuen uns auf innovative Beiträge sowohl metatheoretischer als auch theoretischer, insbesondere aber auch empirischer Art zu unserem Tagungsthema.

Neben Beiträgen zu unserem Hauptthema sind wie immer auch weitere Beiträge herzlich eingeladen, die sich nicht speziell mit unserem Tagungsthema, sondern mit anderen interessanten (auch methodischen) Fragen aus der theoretischen und empirischen Organisations- und Personalforschung befassen.

Einreichung von Beiträgen

Zur Vorbereitung des Review-Prozesses bitte ich Sie, geplante Einreichungen bis zum 30.07.2015 bei martin@uni-lueneburg.de anzumelden. Die Einreichung von Abstracts (max. 3-seitig) oder Full Papers (max. 30-seitig) ist bis zum 01.09.2015 möglich. Die Beiträge können in deutscher oder englischer Sprache verfasst sein und werden dem üblichen Begutachtungsverfahren unterworfen. Die Rückmeldung an die Autoren soll bis zum 30.09.2015 erfolgen. Es ist vorgesehen, hervorragende Beiträge in einem eigenen Tagungsband oder in der Zeitschrift „Management Revue“ zu veröffentlichen. Der Review-Prozess der Tagung ist in den Review-Prozess der Zeitschrift integriert.

Darüber hinaus können Kurzberichte zu laufenden Forschungsprojekten (Projektbeschreibung max. 3-seitig) angemeldet werden. Diese durchlaufen kein gesondertes Begutachtungsverfahren.

Kontakt

Prof. Dr. Albert Martin, Institut für Unternehmensentwicklung, Leuphana Universität Lüneburg, Scharnhorststraße 1, 21335 Lüneburg, Telefon 04131-677-2130, martin@uni-lueneburg.de

Anmeldung

Ich darf alle, die beabsichtigen, an unserer Tagung teilzunehmen (und zwar gänzlich unabhängig davon, ob sie einen Vortrag halten wollen oder nicht), bitten, sich bis spätestens 31. August 2015 anzumelden. Bitte benutzen Sie hierzu das Anmeldeformular auf unseren Internet-Seiten:

Weitere Informationen zur Jahrestagung, zu Anreise- und Unterkunftsmöglichkeiten sowie ein Online-Anmeldeformular finden Sie unter
https://akempor.wordpress.com/tagungen/tagung-2015.