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COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING

Result description

We investigate the quantifying of statistical and econometric structural model parameters of average nominal wages in Slovak economy. SVM´s modelling approaches are used for automated specification of a functional form of the model. We provide the fit ofaverage nominal wages models based on Box-Jenkins methodology and a causal model to the quarterly data over the period 1991-2006 in the Slovak Republic. We use this model as a tool to compare its approximation and forecasting abilities with those obtained using SV regression´s method.

Keywords

ARMA ProcessesMean Square ErrorBox-Jenkins MethodologySV Regressioncausal models

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING

  • Original language description

    We investigate the quantifying of statistical and econometric structural model parameters of average nominal wages in Slovak economy. SVM´s modelling approaches are used for automated specification of a functional form of the model. We provide the fit ofaverage nominal wages models based on Box-Jenkins methodology and a causal model to the quarterly data over the period 1991-2006 in the Slovak Republic. We use this model as a tool to compare its approximation and forecasting abilities with those obtained using SV regression´s method.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů