Scope of Project

By Armin Ameri, Mark Birmingham, Patrick Donley and Cole Garda

The 2015 US Women’s National Team Poses with Barack Obama (https://commons.wikimedia.org/wiki/File:President_Obama_posing_with_USWNT_Women%27s_World_Cup_champions_2015-10-27.jpg) Note: All photographs used in this report were marked for noncommercial use.
Canadian Prime Minister Justin Trudeau poses for a selfie with the Women’s National Team (https://www.sportsnet.ca/soccer/canadian-womens-soccer-team-meets-justin-trudeau/)

This project aims to evaluate the effect of different factors on the success of women’s national soccer teams.  We use statistical methods to measure the correlation between several different factors and the FIFA ranking of the women’s team.  Along with the statistical analysis, we also provide qualitative analysis for each factor.  Additionally, we summarized other research done on this topic in the Literature Review and recommended some other opportunities for research similar to or building on this project.

There are certainly countless actions and decisions that affect the current landscape of women’s soccer (such as Title IX in the US) that can not be neatly wrapped up in a small dataset.  However, we think that evaluating these quantitative factors will help to explain what factors are important for creating an environment where women’s soccer can flourish.  While Title IX might not be captured in our analysis, the fact that the US scores well on the the Gender Gap Index or Female Participation in Government could be telling about the fact that Title IX happened here in this country in 1972.  As such, though, we do not consider this research an explanation of women’s soccer success but rather an investigation into some of the factors that could be important.

 

Table Of Contents

I. Intro

a. Scope of Project

b. Literature Review

c. Assumptions and Potential Causes of Error

II. Data

a. FIFA Men’s Rankings

b. GDP Per Capita Analysis

c. Population Analysis

d. Gender Gap Index Analysis

e. Female Participation in Government Analysis

f. Economic Freedom Index Analysis

g. Average Level of Education Analysis

III. Case Studies

a. Brazil

b. France

c. Japan

d. Sweden

e. United States

IV. Further Research Opportunities

V. Conclusion

VI. Raw Data