his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Non-Stationary perspective on the European and Swedish Business Cycle
University of Skövde, School of Technology and Society.
2007 (English)Doctoral thesis, monograph (Other scientific)
Abstract [en]

Business cycles, the ups and downs observed somewhat simultaneously in numerous macroeconomic variables in an economy and often measured using real GDP, are important and, despite much economic research, still incom- pletely understood. Dating the business cycle has always been of interest in macroeconomic research. The dating might help to find the causes of a recession and this understanding could help to prevent or limit the duration of recessions in the future. A non-stationary, non-parametric smoothing- technique is proposed here to make business cycles simpler to analyse and interpret. The method is applied to the Euro area and to the Swedish econ- omy. For the Euro area the method finds two deeper and two milder reces- sions and one stagnation period since 1970. The dating is close to that of the CEPR. The same method is then used to date recessions in Sweden for the period 1969-2006. Four recessions were found. One research area of interest related to the dating of business cycles is forecasting of an upcoming recession. If an upcoming recession is detected, monetary policy could respond and avoid an output gap or a fall in inflation. We use a probit model to examine the in-sample performance of various financial variables as a predictor of Swedish recessions. The results show that the slope of the yield curve appears to perform better than other variables, but also that the spread is not a reliable indicator for detecting recessions in Sweden since there are many false warnings.

Place, publisher, year, edition, pages
Department of Economics, School of Business, Economics and Law, Göteborg University , 2007. , 101 p.
Series
Economics studies, ISSN 1651-4297 ; 163
Keyword [en]
Business cycles, business cycle dating, non-parametric smoothing, non-stationarity, recession prediction, interest rate spread, binary respons models
National Category
Economics and Business
Research subject
Humanities and Social sciences
Identifiers
URN: urn:nbn:se:his:diva-2079ISBN: 91-85169-22-6 OAI: oai:DiVA.org:his-2079DiVA: diva2:32355
Public defence
(English)
Available from: 2008-05-28 Created: 2008-05-28 Last updated: 2013-03-26

Open Access in DiVA

No full text

Other links

http://hdl.handle.net/2077/4445

Search in DiVA

By author/editor
Holm, Louise
By organisation
School of Technology and Society
Economics and Business

Search outside of DiVA

GoogleGoogle Scholar

Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf