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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorMajerová, Ingrid
dc.contributor.authorPražák, Tomáš
dc.date.accessioned2024-10-14T10:29:06Z
dc.date.available2024-10-14T10:29:06Z
dc.date.issued2014
dc.identifier.issn1877-0428en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/155210
dc.description.abstractA time series analysis is often used for estimation of economic development of countries. However, the prediction based on development of macroeconomic indicators might be analyzed by various models. This article aims to verify the hypothesis of differences in predictions using linear trend analysis and moving average model on the example of Papua New Guinea using the indicators such as gross domestic product, the growth of gross domestic product, inflation, merchandise trade balance and budgetary balance as percentage of gross domestic product. It was found out that these two types of analyses considerably diverge in their results.en_US
dc.format.extent11 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/155081en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S1877042813055298en_US
dc.subjectlinear trend analysisen_US
dc.subjectARIMA modelen_US
dc.subjectgross domestic producten_US
dc.subjectinflationen_US
dc.subjecttrade balanceen_US
dc.subjecttotal debten_US
dc.titleEstimation of economic development in Papua New Guinea: linear trend analysis or moving average model?en_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2014-01-24
dcterms.licenseCC BY NC NDen_US
dcterms.references20en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeK1a - Monografija / Monographen_US
dc.contributor.institutionSilesian University in Opavaen_US
dcterms.sourcetitleProcedia - Social and Behavioral Sciencesen_US
dc.description.volumevol. 110en_US
dc.publisher.nameElsevieren_US
dc.identifier.doihttps://doi.org/10.1016/j.sbspro.2013.12.889en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence