Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Can changes in commodity prices help to predict inflation?: A Bayesian Approach
Örebro University, Örebro University School of Business.
Örebro University, Örebro University School of Business.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019. , p. 49
National Category
Economics
Identifiers
URN: urn:nbn:se:oru:diva-75332OAI: oai:DiVA.org:oru-75332DiVA, id: diva2:1339092
Subject / course
Nationalekonomi
Supervisors
Examiners
Available from: 2019-07-25 Created: 2019-07-25 Last updated: 2019-07-25Bibliographically approved

Open Access in DiVA

fulltext(1970 kB)23 downloads
File information
File name FULLTEXT01.pdfFile size 1970 kBChecksum SHA-512
e92a92328ce1b4509609f2732f147a37651df12f57150e25347c5af6fc8a28608036a548a2362771f426847a169c5f9d777e0401cb5b80368823c59faa3fa6ce
Type fulltextMimetype application/pdf

By organisation
Örebro University School of Business
Economics

Search outside of DiVA

GoogleGoogle Scholar
Total: 23 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 90 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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