Management Analytics: Association between Gender and Wage Differential

Management Analytics

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
Descriptive analysis.....................................................................................................................3
Regression analysis......................................................................................................................4
Managerial interpretation and implications.................................................................................5
Recommendation.........................................................................................................................6
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Management analytics involves developing a precise understanding regarding factors that
influence managerial decisions and designing data to support the managerial decision. The entire
study is based upon the fictitious data in which data regarding to gender, employee experience,
years of education, department and number supervised is mentioned. The report based upon the
research question i.e. Does there is a link between gender and wage differential? Further, with
the help of regression analysis, study will define the association between the variables and then
make recommendations which in turn assist managers or company to make effective results.
Rationale for choosing the research question: The reason behind choosing the research
question is such that there are many companies who did not pay good amount to women and
generally they have less pay as compared to men. This is considering the biggest concern
according to managerial perspective but also affected the goodwill. However, in the mid of 90’s
company did not pay enough amount to their female employees and that is why, the gender pay
gap increases which affect the brand image of a company as well. Also, in US the gender gap in
pay remain relatively stable from last 15 to 20 years but in 2020, women earned 84% of what
men earned either by full or part time working. Thus, by using relevant analytical tool, it will be
easy to determine the association between salary (dependent) and gender (independent)
variables.
Descriptive analysis
Salary Gender Department
Mean 39827.39 0.478261 2.847826
Standard
Error 1621.75 0.074465 0.181159
Median 36541.5 0 3
Mode #N/A 0 4
Standard
Deviation 10999.24 0.505047 1.228683
Sample
Variance 1.21E+08 0.255072 1.509662
Kurtosis 0.882208 -2.08455 -1.45346
Skewness 1.078567 0.090001 -0.44869
Range 45592 1 3