Estimation Of Some Aspects Of Gender Equality on the Labour Market Using Methods Of Multiple Linear Regression and ANOVA
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COLESNICOVA, Tatiana, NAVAL, Elvira, CIOBANU, Ghenadie. Estimation Of Some Aspects Of Gender Equality on the Labour Market Using Methods Of Multiple Linear Regression and ANOVA. In: Revista Română de Statistică, 2022, nr. 4, pp. 68-80. ISSN 1018-046X.
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Revista Română de Statistică
Numărul 4 / 2022 / ISSN 1018-046X /ISSNe 1844-7694

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

JEL: C12, J16, J7.

Pag. 68-80

Colesnicova Tatiana1, Naval Elvira2, Ciobanu Ghenadie3
 
1 National Institute for Economic Research of Moldova,
2 Vladimir Andrunachievici Institute of Mathematics and Computer Science,
3 Artifex University of Bucharest
 
 
Disponibil în IBN: 16 martie 2023


Rezumat

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 twentyseven indicators of the questionnaire, fi ve 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 signifi cantly low level of education of men, compared to women, they occupy the most qualifi ed jobs with signifi cantly higher wages; women with even higher qualifi cations 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.

Cuvinte-cheie
ANOVA method, gender inequality, labour market, gender questionnaire, Least squares method, multiple linear regression