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            <title xml:lang="en">THE TUNISIA CONSUMER PRICE INDEX (CPI): BOX-JENKINS METHOD</title>
            <title xml:lang="fr">L’INDICE DES PRIX A LA CONSOMMATION (IPC) EN TUNISIE : METHODE DE BOX-JENKINS</title>
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            <idno type="halRefHtml">&lt;i&gt;Revue d'économie et de statistique appliquée&lt;/i&gt;, 2020, ISSN: 1112-234X EISSN: 2600-6642, Vol.16 (N°2)</idno>
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                <title xml:lang="en">THE TUNISIA CONSUMER PRICE INDEX (CPI): BOX-JENKINS METHOD</title>
                <title xml:lang="fr">L’INDICE DES PRIX A LA CONSOMMATION (IPC) EN TUNISIE : METHODE DE BOX-JENKINS</title>
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                  <biblScope unit="volume">Vol.16</biblScope>
                  <biblScope unit="issue">N°2</biblScope>
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                <term xml:lang="en">CPI</term>
                <term xml:lang="en">Box-Jenkins model</term>
                <term xml:lang="en">Time series</term>
                <term xml:lang="fr">Tunisia</term>
                <term xml:lang="fr">Modèle de Box-Jenkins</term>
                <term xml:lang="fr">Série chronologique</term>
                <term xml:lang="fr">Tunisie</term>
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              <p>In this work, we adopt a review of the empirical literature on the Box-Jenkins model. The structure of the Consumer Price Index (CPI) has been adjusted for Tunisia and the Eviews 15 software that was used gives the highest score. The results of sufficient diagnostic tests have shown that predictions using the static method gave the best results, with inflation. The correlograms of the result series found showed some stability in the statistical indicators since the evaluation of the forecasts namely the average of the Mean Absolute Percentage Error (MAPE) which proved a marginal error for the result while indicating that the model is adaptable to the chosen methodology and according to Tunisian domestic statistics of the National Institute of Statistics during the following period: (2007 to 2017).</p>
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              <p>Dans ce travail, nous adoptons une revue de la littérature empirique sur le modèle de Box-Jenkins. La structure de l'indice des prix à la consommation (IPC) a été ajustée pour la Tunisie et le logiciel Eviews 15 qui était utilisé donne le meilleur score. Les résultats des tests de diagnostic suffisants ont montré que les prévisions utilisant la méthode statique donnaient les meilleurs résultats, avec une inflation. Le corrélogramme de la série de résultat trouvé a montré une certaine stabilité au niveau des indicateurs statistique puisque l'évaluation des prévisions à savoir la moyenne des écarts en valeur absolue par rapport aux valeurs observées (MAPE) qui a prouvé une erreur marginale pour le résultat existant tout en indiquant que le modèle est adaptable à la méthodologie choisie et selon les statistiques domestiques Tunisiennes de l'Institut National de la Statistique durant la période suivante : (2007 à 2017).</p>
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