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dc.contributor.authorMartínez-Zarzoso, Inmaculadaen_US
dc.contributor.authorNowak-Lehmann D., Felicitasen_US
dc.contributor.authorVollmer, Sebastianen_US
dc.date.accessioned2007-07-03en_US
dc.date.accessioned2010-05-14T11:54:57Z-
dc.date.availablestart=2010-05-14T11:54:57Z; end=2010-11-15-
dc.date.issued2007en_US
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_US
dc.language.isoengen_US
dc.publisherCenter for European, Governance and Economic Development Research Göttingenen_US
dc.relation.ispartofseriesCeGE Discussion Paper 64en_US
dc.subject.jelC33en_US
dc.subject.jelQ25en_US
dc.subject.ddc330en_US
dc.subject.keywordsimulationsen_US
dc.subject.keywordPoisson regressionen_US
dc.subject.keywordconstant-elasticity modelsen_US
dc.subject.keywordheteroskedasticityen_US
dc.subject.keywordfeasible generalized least squares (FGLS)en_US
dc.subject.keywordmaximum likelihooden_US
dc.subject.stwMaximum-Likelihood-Methodeen_US
dc.subject.stwSchätztheorieen_US
dc.subject.stwGravitationsmodellen_US
dc.subject.stwSchätzungen_US
dc.subject.stwTheorieen_US
dc.subject.stwWelten_US
dc.titleThe log of gravity revisiteden_US
dc.typeWorking Paperen_US
dc.identifier.ppn534776477en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:cegedp:64-
Appears in Collections:cege-Diskussionspapiere, Universität Göttingen

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