Cost stickiness: state of the art of research and implications
Thomas Guenther (),
Anja Riehl and
Richard Rößler
Metrika: International Journal for Theoretical and Applied Statistics, 2014, vol. 24, issue 4, 318 pages
Abstract:
Cost functions as the foundation of managerial decision making usually assume a linear cost function with fixed and variable costs. The latter are dominantly regarded as being identical for increasing and for decreasing activity levels. However, empirical research shows that the decline in costs is smaller for decreasing than the rise in costs for increasing activity levels for the same amount of change. This effect of asymmetric cost behaviour is called ‘cost stickiness’ or ‘cost remanence’. Our paper provides an overview of the causes and occurrences of cost stickiness. Furthermore, the empirical findings on cost stickiness using regression models with archival financial accounting data are reviewed and analysed. We explore different determinants of the effect of cost stickiness. A critical look at the findings and methods of empirical studies reveals the limitation of current research and opens new streams for further research. Finally, implications of the existence of sticky costs for management accounting research and practice are drawn. Copyright Springer-Verlag Berlin Heidelberg 2014
Keywords: Cost stickiness; Cost behaviour; Cost function; Cost management; Archival research; Asymmetric cost function (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00187-013-0176-0 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:24:y:2014:i:4:p:301-318
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2
DOI: 10.1007/s00187-013-0176-0
Access Statistics for this article
Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze
More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().