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Prof. Dr. Torben Kuhlenkasper

Prof. Dr.

Torben Kuhlenkasper

Quantitative Methoden der Wirtschaftswissenschaften

Contact

Room

W4.1.02

Colloquium

MI 9:45-11:15 Uhr

Phone

(07231) 28-6331

Mail

torben.kuhlenkasper(at)hs-pforzheim(dot)de

Torben Kuhlenkasper is Professor of Quantitative Methods of Economics at Pforzheim University. After earning degrees in business and economics, he completed his doctoral degree at the University of Bielefeld in 2011, under the supervision of Göran Kauermann. Until 2012 he was senior economist at the renowned Hamburg Institute of International Economics (HWWI), where he studied the application of flexible statistical modelling techniques for economics. He continued this research after 2012, when he took a position as Junior Professor of Applied Econometrics at the University of Frankfurt. He is currently carrying out various research projects with scholars from the University of the Federal Armed Forces Hamburg, the University of Munich and the University of Bielefeld. He teaches mathematics and statistics at Pforzheim University.

Torben Kuhlenkasper works in empirical economic research and econometrics. He focuses on model-assisted quantification of complicated economic situations. He also considers macroeconomic questions, including labour market economics.
He begins with the linear regression models often used in economic analysis, which in many cases do not permit sufficient flexibility in quantifying and analysing actual situations. His empirical research relies on current mathematically demanding regression techniques known as nonparametric
regressions. A widely recognized publication together with Göran Kauermann in the professional journal Labour Economics examines the participation of mothers on the labour market. Starting point was the temporary maternity leave and the return to the labour market.
Using nonparametric methods Kauermann showed that the decision to return to work depends on factors such as education and previous income. In particular, he demonstrated that these factors change in the course of a maternity leave. In the future, Torben Kuhlenkasper will employ these methods to quantify other economically important contexts using duration time analysis, such as the length of unemployment, sense of company belonging and product life cycle in marketing.
Torben Kuhlenkasper also studies the interaction effects in regression models. Often, in model-assisted analysis it is impossible to know a priori how individual factors influence each other. In a current study with scientists at the University of Hamburg and the University of Lüneburg he used nonparametric methods to develop a new method for understanding these interactions. In one example, he examined the popularity of US politicians based on the country’s economy. There he found that there are nonlinear correlations between the inflation rate, unemployment levels, and state expenditures as explanatory factors for the chief executive’s popularity. The study’s methods permit the quantification of complex economic contexts and provide a starting point for further research
in applied areas of macroeconomics and business management.


Econometrics ,  Mathematics ,  Quantitative Methods ,  Regression ,  Statistics ,  Quantitative Marketing Research ,  Datenanalyse ,  Empirical Research Methods ,  Empirical Economic Research ,  Market Research

2011 - Dr. rer. pol., Statistics and Econometrics
Universität Bielefeld
Germany


2007 - Diplom (Universitaet), Economics
Universität Bielefeld
Germany


2006 - Diplom (Universitaet), Business Administration
Universität Bielefeld
Germany


since 2013 - Pforzheim - Germany

Professor for Quantitative Methods


2012 - 2013 - Goethe Universität - Germany

Juniorprofessor for Applied Econometrics


2010 - 2012 - Hamburgisches WeltWirtschaftsInstitut (HWWI) - Germany

Senior Economist


2005 - 2010 - Kuhli's - Germany

General Manager with general power of attorney


2015 - 2016

Lehrpreis der Hochschule


2015 - 2016

Lehrpreis der Business-School Pforzheim


2013 - 2014

Third-best teaching in the Master programme (Goethe University)


2007 - 2010

Promotionsstipendium zur Förderung des wissenschaftlichen Nachwuchses


Quantitative Methods

Journal article

KUHLENKASPER, T., ARIN, K., ZENKER, C., & ANBARCI, N. (2018). Revisiting loss aversion: Evidence from Professional Tennis. JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 153, 1-18.

KUHLENKASPER, T., KRÖNUNG, J., & ECKHARDT, A. (2017). CONFLICTING BEHAVIORAL PARADIGMS AND PREDICTING IS ADOPTION AND NON-ADOPTION - THE IMPORTANCE OF GROUP-BASED ANALYSIS. COMPUTERS IN HUMAN BEHAVIOR, 67 (1), 10-22. doi:10.1016/j.chb.2016.09.058.

KUHLENKASPER, T., & STEINHARDT, M. (2017). Who Leaves and When? - Selective Outmigration of Immigrants from Germany. Economic Systems, 41 (4), 610-621. doi:https://doi.org/10.1016/j.ecosys.2017.01.001.

KUHLENKASPER, T., & SCHELLHASE, C. (2017). Semi-parametric Estimation of Income Mobility with D-vines using Bivariate Penalized Splines. Allgemeines Statistisches Archiv, 11 (2), 107-134. doi:10.1007/s11943-017-0205-9.

KUHLENKASPER, T., BERLEMANN, M., & ENKELMANN, S. (2015). Unraveling the Relationship between Presidential Approval and the Economy - A Multidimensional Semiparametric Approach. JOURNAL OF APPLIED ECONOMETRICS, 30 (3), 468-486. doi:10.1002/jae.2380.

KUHLENKASPER, T., ERIN, P., & NANDIALATH, A. (2015). Critical Thresholds for Budget Consolidations: A Semi-Parametric Approach. APPLIED ECONOMICS LETTERS, 22 (16), 1293-1297. doi:10.1080/13504851.2015.1026574.

KUHLENKASPER, T., ARIN, K., BERLEMANN, M., & KORAY, F. (2013). Non-Linear Growth Effects of Taxation: A Semi-Parametric Approach Using Average Marginal Tax Rates. JOURNAL OF APPLIED ECONOMETRICS, 28 (5), 883-899. doi:10.1002/jae.2311.

KUHLENKASPER, T., & STEINHARDT, M. (2012). Neue Ergebnisse zur Struktur der Auswanderer mit Migrationshintergrund in Deutschland. Wirtschaftsdienst (11), 784-786.

KUHLENKASPER, T., & KAUERMANN, G. (2010). Duration of Maternity Leave in Germany - A Case Study of Nonparametric Hazard Models and Penalized Splines. LABOUR ECONOMICS, 17 (3), 466-473. doi:10.1016/j.labeco.2009.12.001.


Book/Monograph/Ebook

KUHLENKASPER, T., & HANDL, A. (2019). Statistische Experimente Theorie und Praxis mit R. Springer.

KUHLENKASPER, T., & HANDL, A. (2018). Einführung in die Statistik - Theorie und Praxis mit R (1. ed.). Springer.

KUHLENKASPER, T., & HANDL, A. (2017). Multivariate Analysemethoden - Theorie und Praxis mit R (3. ed.). Springer.


Dissertation

KUHLENKASPER, T. (2011). Working Females - A Modern Statistical Approach. Universität Bielefeld, Bielefeld, Germany.


Chapter in Book

KUHLENKASPER, T., MÖLLER, S., SCHMIDT, A., STOCK, S., & WALTER, M. (2018). Erkenntnisgewinn (2. ed.). In Stock, Schneider, Peper, Molitor (Eds.), Erfolgreich wissenschaftlich arbeiten - Alles, was Studierende wissen sollten (pp. 18-22). Springer Gabler Verlag.

KUHLENKASPER, T., BEEK, M., HENNIG, C., LANG, K., RHODE, K., STOCK, S., & WEIDMANN, D. (2018). Literaturrecherche. In Stock, Schneider, Peper, Molitor (Eds.), Erfolgreich wissenschaftlich arbeiten (pp. 58-62). Springer Gabler Verlag.

KUHLENKASPER, T., BEEK, M., GRZANNA-ZSCHOKE, C., & JÄGER, R. (2018). Lesemethoden., Erfolgreich wissenschaftlich arbeiten (pp. 70-72). Springer Gabler Verlag.

KUHLENKASPER, T., LENNARTZ, J., HENZE, J., & HENNIG, C. (2014). Textsatzsystem LaTeX (3. ed.). In Stock, Schneider, Peper, Molitor (Eds.), Erfolgreich Promovieren (pp. 133). Springer.

KUHLENKASPER, T., & KAUERMANN, G. (2013). Penalized Splines and Multilevel Models (1. ed.). In Scott, Simonoff, Marx (Eds.), SAGE Handbook of Multilevel Modeling (pp. 325-333). SAGE Publications.


Online Publication

KUHLENKASPER, T., & HANDL, A. (2014). Einführung in die Statistik mit R. Einführung in die Statistik mit R, Germany.

KUHLENKASPER, T., & HANDL, A. (2013). Statistisches Qualitätsmanagement. Statistisches Qualitätsmanagement, Germany.

KUHLENKASPER, T., & HANDL, A. (2013). Schätzen und Testen. Schätzen und Testen, Germany.

KUHLENKASPER, T., & HANDL, A. (2013). Eine kleine Einführung in R. Eine kleine Einführung in R, Germany.

KUHLENKASPER, T., & HANDL, A. (2013). Statistik nach der Grundausbildung. Statistik nach der Grundausbildung, Germany.

KUHLENKASPER, T., & HANDL, A. (2013). Methoden der Datenanalyse. Methoden der Datenanalyse, Germany.


Program Director

2015

Germany


Herausgeber (Zeitschrift)

since 2013

Associate Editor of the Review of Economics

Review of Economics Germany


Session/Track chair at a conference

2013

Deutsche Statistische Gesellschaft an der FU Berlin Germany


Media Citation

2012

Interview "Welche Rolle spielt die wirtschaftliche Entwicklung der USA bei der Beliebtheit des US-Präsidenten?"

NDR Info Germany


Maintaining an active consulting practice (regular, not only on an informal basis)

2010 - 2012

Lead Partner Consultant for the minister of economy, labour and ports in the state of Bremen

Hamburgisches WeltWirtschaftsInstitut gGmbH Germany


Reviewer

since 2010

Reviewer bei verschiedenen Double Blind Journals (Economic Letters, European Sociological Review etc.)

Germany


Academic association membership

since 2009

United States

since 2009

Germany

since 2008

Germany