Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/32026 
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dc.contributor.authorMartínez-Zarzoso, Inmaculadaen
dc.contributor.authorNowak-Lehmann D., Felicitasen
dc.contributor.authorVollmer, Sebastianen
dc.date.accessioned2007-07-03-
dc.date.accessioned2010-05-14T11:54:57Z-
dc.date.availablestart=2010-05-14T11:54:57Z; end=2010-11-15-
dc.date.issued2007-
dc.identifier.urihttp://hdl.handle.net/10419/32026-
dc.description.abstractThis paper evaluates the performance of alternative estimation methods for multiplicative and log models with heteroskedasticity. Contrary to Santos Silva and Tenreyro (2006), the results of a simulation study indicate that the Pseudo Poisson Maximum Likelihood estimator (PPML) is not always the best estimator. New estimates of the gravity equation are obtained for three different datasets with traditional methods (OLS and FGLS) and with the PPML. We find that the PPML assumption concerning the pattern of heteroskedasticity is, in most cases, rejected by the data and PPML estimates are outperformed by OLS and FGLS estimates in out-of-sample forecast.en
dc.language.isoengen
dc.publisher|aUniversity of Göttingen, Center for European, Governance and Economic Development Research (cege) |cGöttingenen
dc.relation.ispartofseries|acege Discussion Papers |x64en
dc.subject.jelC33en
dc.subject.jelQ25en
dc.subject.ddc330en
dc.subject.keywordsimulationsen
dc.subject.keywordPoisson regressionen
dc.subject.keywordconstant-elasticity modelsen
dc.subject.keywordheteroskedasticityen
dc.subject.keywordfeasible generalized least squares (FGLS)en
dc.subject.keywordmaximum likelihooden
dc.subject.stwMaximum-Likelihood-Methodeen
dc.subject.stwSchätztheorieen
dc.subject.stwGravitationsmodellen
dc.subject.stwSchätzungen
dc.subject.stwTheorieen
dc.subject.stwWelten
dc.titleThe log of gravity revisited-
dc.type|aWorking Paperen
dc.identifier.ppn534776477en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:cegedp:64en

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