Estimation Of Some Aspects Of Gender Equality on the Labour Market Using Methods Of Multiple Linear Regression and ANOVA

被引:0
|
作者
Colesnicova, Tatiana [1 ]
Naval, Elvira [2 ]
Ciobanu, Ghenadie [3 ]
机构
[1] Natl Inst Econ Res, Kishinev, Moldova
[2] Vladimir Andrunachiev Inst Math & Comp Sci, Kishinev, Moldova
[3] Univ ARTIFEX, Bucharest, Romania
关键词
ANOVA method; gender inequality; labour market; gender questionnaire; least squares method; multiple linear regression;
D O I
暂无
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Gender inequality is one of the social and economic challenges of society. Women actively contribute to social and economic development as employees, entrepreneurs and service providers. However, they are increasingly faced with unequal labour market conditions compared to men. Thus, the purpose of this research is to assess certain aspects of gender inequality in the labour market based on data selected from a gender questionnaire developed by the STCU project team using multiple linear regression and ANOVA methods necessary to monitor this situation. Of the twenty-seven indicators of the questionnaire, five were selected: perceptions of the existence of inequality in the workplace, gender, age, level of education and the economic activity sector. The results of the regression analysis and quantitative assessment of factors revealed that in spite of the significantly low level of education of men, compared to women, they occupy the most qualified jobs with significantly higher wages; women with even higher qualifications are less in demand in the private sector, both in leadership positions and in higher paid ones; for both men and women, age has the same impact in the workplace.
引用
收藏
页码:68 / 80
页数:13
相关论文
共 50 条
  • [21] Estimation of mass flow of seeds using fibre sensor and multiple linear regression modelling
    Al-Mallahi, A. A.
    Kataoka, T.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2013, 99 : 116 - 122
  • [22] Gender differences on perceived health in Multiple Sclerosis detected using regression shrinkage, not using conventional methods
    Mayo, Nancy E.
    Scott, Susan C.
    Kuspinar, Ayse
    QUALITY OF LIFE RESEARCH, 2013, 22
  • [23] Superpixel-Based Mixed Noise Estimation for Hyperspectral Images Using Multiple Linear Regression
    Sun, Lei
    Li, Bujin
    Nian, Yongjian
    REMOTE SENSING, 2020, 12 (08)
  • [24] Rainfall estimation using multiple linear regression based statistical downscaling for Piperiya watershed in Chhattisgarh
    Chandniha, S. K.
    Kansal, M. L.
    JOURNAL OF AGROMETEOROLOGY, 2016, 18 (01): : 106 - 112
  • [25] Estimation of solar radiation using stepwise multiple linear regression with principal component analysis in Algeria
    Nedjma Abdelhafidi
    Nour El Islam Bachari
    Zohra Abdelhafidi
    Meteorology and Atmospheric Physics, 2021, 133 : 205 - 216
  • [26] Estimation of Tanker Ships' Lightship Displacement Using Multiple Linear Regression and XGBoost Machine Learning
    Francic, Vlado
    Hasanspahic, Nermin
    Mandusic, Mario
    Strabic, Marko
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (05)
  • [27] Estimation of solar radiation using stepwise multiple linear regression with principal component analysis in Algeria
    Abdelhafidi, Nedjma
    Bachari, Nour El Islam
    Abdelhafidi, Zohra
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2021, 133 (02) : 205 - 216
  • [28] SOME SIMPLE MULTIPLE LINEAR-REGRESSION EQUATIONS FOR ESTIMATION OF MAXIMAL AEROBIC POWER IN HEALTHY INDIAN MALES
    VERMA, SS
    GUPTA, RK
    SENGUPTA, J
    EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY AND OCCUPATIONAL PHYSIOLOGY, 1984, 52 (03): : 336 - 339
  • [29] QSPR study on solubility of some fullerenes derivatives using the genetic algorithms - Multiple linear regression
    Pourbasheer, Eslam
    Aalizadeh, Reza
    Ardabili, Jamal Saffar
    Ganjali, Mohammad Reza
    JOURNAL OF MOLECULAR LIQUIDS, 2015, 204 : 162 - 169
  • [30] Estimation of the Shape Parameter of the Weibull Distribution Using Linear Regression Methods: Non-Censored Samples
    Yavuz, Arzu Altin
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2013, 29 (08) : 1207 - 1219