Applied Multivariate Regression Model for Improvement of Performance in Labor Demand Forecast

Abstract

AbstractForecasting labor demand play significant roles in the development of planning policies in both national labor markets with strategies of national human resources in order to meet the requirements of industrialization and modernization of the country. This paper has presented the proposed model using multivariate multiple regressions, dealing with time series for forecasting labor demand. It is also quantified influenced factors for prediction of labor demands. The contribution in this study is to propose multivariate regression approach that esti-mates a single regression model with outcome variable by dealing time series data. To confirm the proposed model, experimental results the proposed model in a real case study show that the multivariate regression model enhance significant performance for forecasting labor de-mand. The proposed model is evaluated on real world datasets to demonstrate this method’s effectiveness.KeywordsLabor demand predictionLabor forecastMultiple regressionMultivariate regressionIntelligent labor forecast