dc.contributor.author | Larsen, Vegard Høghaug | |
dc.date.accessioned | 2017-06-02T13:04:14Z | |
dc.date.available | 2017-06-02T13:04:14Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1892-2198 | |
dc.identifier.uri | http://hdl.handle.net/11250/2444266 | |
dc.description.abstract | Uncertainty is acknowledged to be a source of economic fluctuations. But, does the type of uncertainty matter for the economy's response to an uncertainty shock?
This paper offers a novel identfication strategy to disentangle different types of uncertainty. It uses machine learning techniques to classify different types of news instead of specifying a set of keywords. It is found that, depending on its source, the effects of uncertainty on macroeconomic variable may differ. I find that both good (expansionary effect) and bad (contractionary effect) types of uncertainty exist. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | BI Norwegian Business School | nb_NO |
dc.relation.ispartofseries | CAMP Working Paper Series;4/2017 | |
dc.subject | Newspaper | nb_NO |
dc.subject | Topic model | nb_NO |
dc.subject | Uncertainty | nb_NO |
dc.subject | Business cycles | nb_NO |
dc.subject | Machine learning | nb_NO |
dc.title | Components of Uncertainty | nb_NO |
dc.type | Working paper | nb_NO |
dc.source.pagenumber | 41 | nb_NO |