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metadata language: English

Ifo Personnel Manager Survey (2015)

Version
2015
Resource Type
Dataset
Creator
  • Schricker, Julia
Publication Date
2017-01
Contributor
  • ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München e.V. (Data Collector)
Language
English
Classification
  • JEL:
    • Macroeconomics and Monetary Economics: General
    • Expectations; Speculations
    • Design of Experiments: General
    • Data Collection and Data Estimation Methodology; Computer Programs: General
Controlled Keywords
  • TheSozWiss:
    • situation
    • specialist
    • Euro
    • economic policy
    • investment
Free Keywords
personnel Managers; extra hours; contracts; mini-Jobs; Outsourcing; internal realisations; working time accounts; flexibilisation measures; financial crisis; education; asylum seekers; Trainees; challenges; online; Trainees; female quota; retirement; Minimum wage; euro crisis; home-office; economic slowdown
Description
  • Series Information

    The ifo Institute conducts since 2008 a quarterly survey for Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft of personnel managers from different economic sectors as to the importance of flexibility in personnel management. The survey examines the question of what role corresponding flexibility measures play not only in the business cycle but also in the long term. Additionally, a special question is asked every quarter on a current personnel-policy topic. The Randstad-ifo-flexindex is published by the Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft.

Temporal Coverage
  • 2008-01 / 2015-12
Geographic Coverage
  • Germany (DE)
Time Dimension
  • Longitudinal: Panel: Interval
Collection Mode
  • Self-administered questionnaire
Availability
On-site
Relations
  • Is continued by
    DOI: 10.7805/ipms-2016

Update Metadata: 2018-12-21 | Issue Number: 20 | Registration Date: 2017-01-11

Schricker, Julia (2017): Ifo Personnel Manager Survey (2015). Version: 2015. LMU-ifo Economics & Business Data Center (EBDC). Dataset. https://doi.org/10.7805/IPMS