COMPARISON OF UNIVARIATE AND HEURISTIC FORECASTING MODELS IN THE EMPLOYMENT/UNEMPLOYMENT SECTOR IN MALI

Authors

  • Hamadou NİANGADOU Computer Engineer, MSc., SOMAPO s.a, Mali
  • Murat AKAD İstanbul Üniversitesi-Cerrahpaşa

DOI:

https://doi.org/10.17740/eas.stat.2019-V13-04

Keywords:

Bootstrapping, Parsimony, Mali, Unemployment, Univariate Forecasting, Heuristic Forecasting

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.

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Published

2019-05-15

How to Cite

NİANGADOU, H., & AKAD, M. (2019). COMPARISON OF UNIVARIATE AND HEURISTIC FORECASTING MODELS IN THE EMPLOYMENT/UNEMPLOYMENT SECTOR IN MALI. Eurasian Eononometrics, Statistics and Emprical Economics Journal, 48–59. https://doi.org/10.17740/eas.stat.2019-V13-04

Issue

Year: 2019 Number: 13

Section

Makaleler