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dc.contributor.authorDoppelhofer, Gernot
dc.contributor.authorHansen, Ole-Petter Moe
dc.contributor.authorWeeks, Melwyn
dc.date.accessioned2017-01-06T12:16:25Z
dc.date.available2017-01-06T12:16:25Z
dc.date.issued2016-12
dc.identifier.issn0804-6824
dc.identifier.urihttp://hdl.handle.net/11250/2426603
dc.description.abstractThis paper estimates determinants of long-run growth rates of GDP per capita in a cross section of countries. We propose a novel Measurement Error Model Averaging (MEMA) approach that accounts for measurement error in international income data as well as model uncertainty. Estimating the model using eight vintages of the Penn World Tables (PWT) together with other proposed growth determinants, we identify 18 variables related to economic growth. The results are robust to allowing for outliers in the form of heteroscedastic model errors.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartofseriesDP SAM: 19
dc.subjectgrowth regression, robust growth determinants, measurement er- ror, Bayesian modellingnb_NO
dc.titleDeterminants of long-term economic growth redux: A Measurement Error Model Averaging (MEMA) approach.nb_NO
dc.typeWorking papernb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210nb_NO
dc.source.pagenumber55nb_NO
dc.source.issue19nb_NO
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