Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence

Bericht

Surveys are a widely used tool to answer socio-economic research question across disciplines. However, data collection can face certain problems such as nonresponding units. For household and population surveys, a large body of literature about the effects of nonresponse exist but only less is known in case of business surveys. This thesis deals with the missing values in the Ifo Business Survey which is conducted in similar form in nearly all OECD countries. The most prominent result of this survey is the Ifo Business Climate Index, a business cycle indicator for the German economy. This indicator is highly observed by entrepreneurs, analysts, politicians, journalists, academics and the general public. The results of this thesis show that business cycle indicators based on this type of questioning are very stable towards any kind of non-random missing data processes. This is shown by simulation studies as well as an estimation of the missing values. In particular, the missing values do not lead to a significant reduction in forecasting performance.

Angaben zum Objekt

• ISBN: 978-3-88512-544-0
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: ifo Beiträge zur Wirtschaftsforschung ; No. 52

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models ; Operations Research; Statistical Decision Theory ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access ; Survey Methods; Sampling Methods ; Economic Development: General
• Thema: Business Survey ; Ifo Business Climate ; Imputation ; Missing data ; Panel survey ; Unit nonresponse ; Frühindikator ; Frühindikator ; Datenerhebung ; Panel ; Deutschland

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Seiler, Christian
• Ereignis: Veröffentlichung
• (wer): ifo Institut - Leibniz-Institut für Wirtschaftsforschung an der Universität München
• (wo): München
• (wann): 2013

Weitere Informationen

• Handle: http://hdl.handle.net/10419/167349
• Letzte Aktualisierung: 10.03.2025, 11:41 MEZ