Forecasting After a Fashion

Paul Goodwin

Foresight: The International Journal of Applied Forecasting, 2017, issue 47, 15-18

Abstract: Goodwin points out the special challenges forecasters have in the fashion industry because of a host of factors?cultural, scientific, demographic, and so on. Additionally, such products often have short life cycles and preferences may change inexplicably. Possible ways of tackling the problem involve shortening the lead time of the forecasts and using regression trees, statistical models, and human judgment about trends. However, Goodwin concedes fashion is an especially challenging area for forecasters. Copyright International Institute of Forecasters, 2017

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://foresight.forecasters.org/shop/

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:for:ijafaa:y:2017:i:47:p:15-18

Access Statistics for this article

More articles in Foresight: The International Journal of Applied Forecasting from International Institute of Forecasters Contact information at EDIRC.
Bibliographic data for series maintained by Michael Gilliland ().