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Comparison Of Univariate And Heuristic Forecasting Models In The Employment/Unemployment Sector In Mali

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  • Hamadou NÄ°ANGADOU

    (Computer Engineer, MSc., SOMAPO s.a, Mali)

  • Murat AKAD

    (Ä°stanbul Ãœniversitesi-CerrahpaÅŸa)

Abstract

Unemployment has always been a problem in Mali, as it is today. Using the actual data from the "World Data Atlas" data source, this study aims to perform a series of forecasting operations using some of the accepted univariate forecasting models in literature and a set of heuristic ones, so as to see which one will hold less error percentage, and thus give the best estimate on how the future numbers might look like. The results enable a comparison of univariate and heuristic techniques.

Suggested Citation

  • Hamadou NÄ°ANGADOU & Murat AKAD, 2019. "Comparison Of Univariate And Heuristic Forecasting Models In The Employment/Unemployment Sector In Mali," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 13(13), pages 48-59, February.
    • Handle: RePEc:eas:econst:v:13:y:2019:i:13:p:48-59
    DOI: 10.17740/eas.stat.2019-V13-04
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