Time series and qualitative variables
systematic literature review
DOI:
https://doi.org/10.14488/1676-1901.v22i1.4575Keywords:
Time Series, Qualitative Variables, Forecast Models, Systematic Review, ModelingAbstract
Qualitative variables have characteristics of influencing quantitative variables. Time series are an example of quantitative variables that can be modified by abrupt changes in qualitative variables. The objective of this research is to identify a knowledge gap between time series forecasting models and qualitative variables through a systematic review of applied literature in scientific articles published in international databases. We found 37 articles that unite time series and qualitative variables in the period from 1985 to 2020, in which new models were created that used qualitative variables as information inputs for the generation of forecasts. The gap found was in approximately 57% of cases the ability to improve the models created and their application in other systems and in 19% the possibility of improving the prediction of other system variables. The results indicated that the inclusion of qualitative variables in quantitative models helps in the quality of the precision of the generated forecasts.
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