Importance The article proposes the model for predicting staffing needs of municipal districts in the Moscow Oblast through economic and mathematical modeling and some programming techniques. Objectives The research analyzes staffing needs of municipal districts of the Moscow Oblast. Methods The proposed methodology for a staffing needs analysis follows our research into staffing needs and distribution of human resources among regions and sectors in order to determine whether staffing needs can be forecasted regionally for ensuring the competitiveness of the national economy and increasing living standards. Inputs are processed using methods of norm setting, deflation, assessment of integral indicators in five modifications. We also apply the Cobb–Douglas functions, classical method of least squares, non-linear unconstrained optimization and Levenberg–Marquardt algorithm. Results Using MS Excel, STATISTICA 12, Wolfram Mathematica 11, we set regression models of the Cobb–Douglas functions. We selected the correlations, which adequately approximate empirical material to quality criteria. The Cobb–Douglas classical function with restricted specification parameters is not suitable for describing the Russian non?stationary economy. However, a modified function can be constructed. Conclusions and Relevance The progress of the analysis may underlie the formation of the techniques for predicting the region’s staffing needs. The research materials may be used by public authorities to analyze and forecast regional labor markets and plan educational institutions’ activities.
Keywords: region, staffing needs, production function, modeling, forecasting
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