Consumer behaviour and confidence

Consumer confidence index: Consumer confidence is determined using a complex survey-based method. On the one hand, survey-based methods are time consuming and expensive, on the other hand the survey-based statistics are reported with a time delay. By using new data sources, the aim of the project is to forecast the consumer confidence and behaviour and to develop a novel method for the analysis. Methodologically, the project is based on the findings from behavioural economics, macroeconomics and methods of linguistic analysis.

Work in Progress

WORKING PAPERS / WORK IN PROGRESS

Karaman Örsal, D. D. & Sturm, S. “Computing Consumer Confidence in Germany via Social Media Data“

Karaman Örsal, D. D. “Nowcasting Consumer Confidence in Germany via Google Trends”

Karaman Örsal, D. D. “Online-Daten und Konsumentscheidungen”, In: „Neuvermessung der Datenökonomie“ (Hrsg. Thomas Straubhaar), Hamburg University Press

SCIENTIFIC PRESENTATIONS

On November 10, 2020 Apl. Prof. Dr. Deniz Karaman Örsal presented her contribution entitled “Online-Daten und Konsumentenverhalten” for the anthology “Neuvermessung der Datenökonomie” (Editor Thomas Straubhaar).

Within the scope of the in-house Research Seminar at the Professorship of Economics with a focus on international economic relations, on July 9, 2020, Dr. Deniz Karaman Örsal gave a talk entitled “Consumer Confidence in Germany“, and presented her research results based on Twitter and Google Trends data.

On May 5, 2020 and November 22, 2019 gave Ms. Dr. Deniz Karaman Örsal a talk on the subject “Consumer Confidence in Germany and Twitter Data“ at the in house research seminar. She presented a new method, in which data form social media is used to forecast the economic situation and demonstrated the new results.

Dr. Deniz Karaman Örsal presented in April 2019 her work entitled „Nowcasting German GDP with Google Trends and Twitter Data“ at the Research Seminar of the Professorship of International Economic Relations. She introduced a new method, in which social media data (e.g. Twitter) and search query data from online search machines (Google Trends) could be used to forecast the economic situation.

In December 2018 gave Dr. Deniz Karaman Örsal a talk entitled „Digitalization and the measurement of productivity and growth“at the in-house Research Seminar of the Professorship for International Economic Relations in which she presented the current status of her findings.

Results

Publications in Peer Reviewed Journals

Groning, S. de la Rubia, C. & Straubhaar T. (2020) “On the Remeasurement of International Trade in the Age of Digital Globalisation”, in The Handbook of Global Trade Policy (Hrsg. Klasen), John Wiley & Sons, S. 47-78, ISBN: 978-1-119-16738-9.

Jarman, S. & Karaman Örsal, D.D. (2020) “The regulation of zero-price markets by the competition authorities in the USA and the EU“, Competition and Regulation in Network Industries, 21(4), 315-343.

Straubhaar, T. (2019) “Das BIP in Zeiten der Datenökonomie: Neuvermessung der Ökonomie wir erforderlich”, Wirtschaftspolitische Blätter, Ausgabe 3/2019.

Transfer

Publications

Newspapers

Straubhaar, T. (2020) “Das BIP hat ausgedient – so müssen wir jetzt unser Wohlstand messen”, Die Welt on 23. September 2020.

Straubhaar, T. (2020) “Häme ist unangebracht”, Die Welt on 20. May 2020.

Straubhaar, T. (2020) “Ein längerer Lockdown verdeckt die Fehlentscheidungen der Regierung”, Die Welt on 01. May 2020.

Straubhaar, T. (2019) “Es geht für Deutschland allein um die Produktivität”, Die Welt on 22. August 2019.

Teaching

Bachelor

Aktuelle Fragen der Wirtschaftspolitik, SuSe 2020, SuSe 2019

Master

International Political Economy, SuSe 2020, SuSe 2019 / M.Sc. PEP
Economization of Life, SuSe 2020 / M.Sc. PEP

Partner

CAPTA Institute for Computer Aided Psychometric Text Analysis LINK: https://www.nordakademie.de/forschung/capta-institut
GLOBALINTO