A Quantile-Based Composite Indicators Approach on Woman's Entrepreneurship as measured by Google Search Activity

Women's entrepreneurship has exploded in popularity in literature in recent decades. Therefore, women's entrepreneurship is considered a critical component of economic growth. However, there are many barriers to women's entrepreneurship. It is necessary to understand that these barriers can prevent people from taking advantage of opportunities and achieving success. Therefore, in this work, we predict women's entrepreneurial intentions. Search activity also provides essential information about entrepreneurship. So, examining the entrepreneur's interactions with the government sheds light on how the government has supported her. According to our analysis, interest in women's entrepreneurship is greater in four Italian regions, possibly due to better dissemination of helpful information. Search patterns related to women entrepreneurs were investigated through relevant Google queries for the year 2021 at the regional level for Italy. Analyzing search trends in each region considered, we compared approaches and strategies. A composite indicator based on quantiles is produced using Google searches. An indicator based on quantiles is obtained from Monte Carlo simulations. The composite indicator was measured using several relevant quantiles, and it is compared with an interval-based composite indicator. The outcome is an indicator of women's interest in entrepreneurial activity