Show simple item record

dc.contributor.authorDoppelhofer, G.
dc.contributor.authorMoe Hansen, O-P.
dc.contributor.authorWeeks, M.
dc.date.accessioned2017-02-16T10:14:53Z
dc.date.available2017-02-16T10:14:53Z
dc.date.issued2017-01-09
dc.identifier.otherCWPE1702
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/262578
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. In addition, the results are robust to allowing for outliers in the form of heteroscedastic model errors.
dc.publisherFaculty of Economics
dc.relation.ispartofseriesCambridge Working Papers in Economics
dc.rightsAll Rights Reserveden
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved/en
dc.subjectgrowth regression
dc.subjectrobust growth determinants
dc.subjectmeasurement error
dc.subjectBayesian modelling
dc.titleDeterminants of long-term economic growth redux: A Measurement Error Model Averaging (MEMA) approach
dc.typeWorking Paper
dc.identifier.doi10.17863/CAM.7844


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record