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Brief Analysis of the Evolution of Female Employees in Recent Years. Research Using Mathematical Modelling

Author

Listed:
  • Constantin Ilie

    (“Ovidius†University of Constanta, Romania)

  • Margareta Ilie

    (“Ovidius†University of Constanta, Romania)

Abstract

The numbers of male against female employment are still an actual and sensitive issue. Thus, the forecast of male and female employment evolution can offer the possibility to make decisions for the minimization of female employment disadvantages. One of the best used methods for model and simulation to forecast is the mathematical applications as artificial neural networks. This kind of method offers the possibility to enhance, understand and forecast the evolutions and influences between different data values. The objective of this paper is to find the proper artificial neural network for modeling and simulating of female employment evolution, under the influence of different indices. The structure considered the best for the simulated values was using hyperbolic tan function and quasi-Newton solver. Also, the ANN structures provide an average feature importance of 51.62% for Total investment, 19.95% for GDP, 15.06% for GERD and 13.37% for Production values.

Suggested Citation

  • Constantin Ilie & Margareta Ilie, 2022. "Brief Analysis of the Evolution of Female Employees in Recent Years. Research Using Mathematical Modelling," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 591-597, September.
    • Handle: RePEc:ovi:oviste:v:xxii:y:2022:i:1:p:591-597
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    File URL: https://stec.univ-ovidius.ro/html/anale/RO/2022-2/Section%204/17.pdf
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    References listed on IDEAS

    as
    1. Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Uwe Blien, 2006. "New Neural Network Methods for Forecasting Regional Employment: an Analysis of German Labour Markets," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(1), pages 7-30.
    2. repec:dgr:uvatin:20060020 is not listed on IDEAS
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    More about this item

    Keywords

    female employment; data model; artificial neural network (ANN);
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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