Economics at your fingertips  

Describing Location Shifts with One Class Support Vector Machines

Iulia Igescu

MPRA Paper from University Library of Munich, Germany

Abstract: The evolution of variables during location shifts (structural breaks) is of high interest to policy makers. I propose a novel approach to describe location shifts. I use two business surveys in the industry sector (faster soft indicators) to target the industrial production index (a slower hard indicator). Then I use One-Class Support Vector Machines on combinations of these two variables to identify if new observations act as ’novelties’ for the target variable, as observations coming from a different distribution. In that case, one would expect the onset/end of a location shift. Moreover, that gives insights into what role animal spirit, as manifested in survey data, plays in equilibrium formation (location shifts).

Keywords: SVM; location shifts; novelites (search for similar items in EconPapers)
JEL-codes: C25 C5 C55 E65 (search for similar items in EconPapers)
Date: 2020-02-13
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) original version (application/pdf)

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:

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

Page updated 2022-09-19
Handle: RePEc:pra:mprapa:100984