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dc.contributor.authorLUETKEPOHL, Helmut
dc.contributor.authorXU, Fang
dc.date.accessioned2014-04-08T13:45:52Z
dc.date.available2014-04-08T13:45:52Z
dc.date.issued2012
dc.identifier.citationEmpirical Economics, 2012, Vol. 42, No. 3, pp. 619-638en
dc.identifier.issn1435-8921
dc.identifier.issn0377-7332
dc.identifier.urihttps://hdl.handle.net/1814/31057
dc.description.abstractFor forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis, this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the original series are compared to forecasts based on logs. For a range of economic variables, substantial forecasting improvements from taking logs are found if the log transformation actually stabilizes the variance of the underlying series. Using logs can be damaging for the forecast precision if a stable variance is not achieved.en
dc.language.isoenen
dc.relation.ispartofEmpirical Economicsen
dc.relation.isversionofhttp://hdl.handle.net/1814/11150
dc.titleThe role of the log transformation in forecasting economic variablesen
dc.typeArticleen
dc.identifier.doi10.1007/s00181-010-0440-1
dc.identifier.volume42en
dc.identifier.startpage619en
dc.identifier.endpage638en
eui.subscribe.skiptrue
dc.identifier.issue3en
dc.description.versionPublished version of EUI MWP WP 2009/06en


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