Women constitute half of the global population, and consequently half of the potential creators, talents, and innovators. However, they are still under-represented in national parliaments and other political bodies. In this paper, the relationship between economic growth of high-income countries and the proportion of women candidates in nation parliaments is investigated through a cross-country statistical analysis. Other included predictors are population growth, initial GDP/capita, and foreign direct investment. To obtain a long-term view, panel data of 20 high-income economies are used in the form of averages of twelve years starting 2006. Development indicators in the cross-country data exhibit complex interactions. Advanced Machine-Learning tools are used to uncover and capture the complex relationships. By the aid of these tools, interactions are identified and relationships are constructed in a non-linear fashion. The generated nonlinear regression model that best fits the data has a high coefficient of determination that exceeds 0.93. Since the aim of this study is to quantify the relationship between shares of parliamentarian women and economic growth independently, Principle Component Analysis is also employed to unveil the desired link. A principle component regression based model is developed. The results reveal a positive statistical significant effect at level of 0.05, where a 10% increase in proportion of women parliamentarians may, on average, increase economic growth by 0.306%. This study provides an empirical evidence on the positive political role of women with respect to stimulating economic growth. © 2019 IEEE.