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metadata language: English

Meta Survey of the World Economic Survey (2014)

Version
2014
Resource Type
Dataset
Creator
  • Wollmershäuser, Timo
  • Wohlrabe, Klaus
  • Garnitz, Johanna
Publication Date
2015-01
Contributor
  • ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München e.V. (Data Collector)
  • International Chamber of Commerce (ICC) (Data Collector)
Language
English
Classification
  • JEL:
    • Money and Interest Rates: General
    • Data Collection and Data Estimation Methodology; Computer Programs: General
    • Design of Experiments: General
    • Expectations; Speculations
    • Macroeconomics: Consumption, Saving, Production, Employment, and Investment: General (includes Measurement and Data)
Controlled Keywords
  • TheSozWiss:
    • situation
    • inflation
  • STW:
    • Stock Market
Free Keywords
assessment current economic situation; assessment inflation; information sources; expectations; stock market; Dow-Jones; economic research; news agencies; internet; media; statistics; observations
Description
  • Series Information

    This survey was conducted to improve the quality of survey instruments and analysis. The aim was to focus on the growing number of research questions related to the ifo World Economic Survey (WES) that have arisen over the last 30 years. In addition to the sources of information that experts use to form their assessments, ifo wanted to gain insights into the decision-making process that experts adopt to classify their responses in the respective qualitative categories. Also, to form a clearer picture of the WES participants, question on their professional and academic background, as well as their gender and age were asked.

Temporal Coverage
  • 2014
Geographic Coverage
  • worldwide
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire
Availability
On-site

Update Metadata: 2018-11-20 | Issue Number: 30 | Registration Date: 2016-06-23

Wollmershäuser, Timo; Wohlrabe, Klaus; Garnitz, Johanna (2015): Meta Survey of the World Economic Survey (2014). Version: 2014. LMU-ifo Economics & Business Data Center (EBDC). Dataset. https://doi.org/10.7805/ebdc-ms-wes-2014