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Gender and Employment

Gender and Employment


The question of gender equality on employment has been a controversial debate since the time immemorial. This is because  people from different cultures, economic and political stand have different views regarding this matter. The research question addressed by this article is "What Is the Effect of Gender on Employment". Gender affects employment in many ways because it determines the kind and amount of work that one can handle within a stated period. Most of the discriminations against women are based on the perception that they are not able to work as much as men. Married women with children are likely to spend less time in places of work compared to men who are less involved in domestic work. In addition, most women are not likely to be involved into job which requires a lot of strength to perform. Various factors that influence people’s employment based on the gender issues have been explored including economic, political, socio-economic and cultural backgrounds. Some cultures have a prejudice that some jobs such as masonry and engineering belong to men.

According to study done by Oriana and Ashwini, fighting with gender inequality is a key process in fostering development. This evidence supports policies that are introduced to fight gender inequality in promoting development both direct and indirect. Employment is one organ of development which ensures that each person regardless of gender is liable to employment according to his acquired skills. Women are the most affected gender when it comes to the question of inequality in the work force. Increase in the number of involved women in the labor force will have a positive effect on development, as more girls will be motivated to enroll in school (Bandiera & Natraj, 2013).

The major concepts of this research are meant to review the presented evidence from a study of policies aiming at reducing inequality. This is in an attempt to evaluate whether and how the facts can be used in informing and implementing policies. These concepts are clearly defined as there are five features of the cross-country research that have been discussed to show their value and policy implication. The further study  indicates that although it is of great help to identify and realize collective patterns, sue of policy design is limited. The concepts are operated through organizing them in different sections to discuss a connection between different inequality measures and development. The section also discusses the weakness in this research and their policy design implications. Recent statistics on gender inequality concerning health, education, political involvement and employment are also discussed (Bandiera & Natraj, 2013).

As noted by Bandiera & Natraj (2013), measures presented by this research can be considered as reliable and valid because they have shown the benefits of understanding and identifying aggregate patterns, and the limitation that the application of policy design has on cross-country studies. The author has made significant efforts to establish the reliability and validity of these measures through stating the assumptions made in cross-country studies. It has revealed that the relationship between the economic growth and gender inequality is the same across periods and countries This is applied to estimate universal coefficient that is meant to capture the effect of inequality on the economic growth across space and time.

The author has stated a number of hypotheses statements, which have been justified by the research outcomes. This has been made possible through explaining the effects that gender has on individual employment. Dependent variables include level of development and economic growth while independent variables include those that influence the economic growth such as productivity and availability of natural resources. These variables have significantly reflected the concept of interest and other important factors including political and social influence on gender equality.

This study can be considered as cross-sectional because it focused on variables at a specified period and utilized different groups that shared ethnicity, socioeconomic status and education background but indicated variations on interest. This study made use of a sample other than the entire population to determine the effect of gender inequality on economic growth. A large sample was obtained from both the developed and developing countries. Various factors were considered such as inequality realized in educational attainment and gender inequality expected in economic outcomes (Bandiera & Natraj, 2013).

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