Interpreting Quantile Regression Models

I am looking for a professional expert in Econometrics and Statistics to explain the data analysis results on the prospect of Gender Wage Gap Analysis using Quantile Regression methodologies.
- The first analysis is based on Conditional Quantile Regression Modelling and Melly's modification of Machado-Mata Decomposition to analyze the Gender Wage Gap in the following three categories: Regular/Salaried vs. Casual Employment; Rural vs. Urban sector employees; Public vs. Private Enterprise Workers.
- The second analysis is based on the Unconditional Quantile Regression Modelling using Recentered Influence Function (RIF) and Oaxaca-Blinder Decomposition using the RIF to analyze the gender wage gap the following three categories: Regular/Salaried vs. Casual Employment; Rural vs. Urban sector employees; Public vs. Private Enterprise Workers.

The output tables and graphs are already obtained using STATA software; and only the explanation/interpretation needs to be done in scientific/statistical format.

Ideal Skills:
- Proficiency in Labour Economics, specifically wages analysis.
- Expertise in conducting Gender Wage Gap Analysis.
- Strong knowledge and practical implementation of Quantile Regression Analysis.
- Excellent academic writing skills with a knack for presenting complex research findings comprehensively.

Please feel free to message me for further details regarding the work. I will be fully committed to working side-by-side since I have 5–6 research papers that can serve as the basis for the interpretation. Approximately, there can be 60 to 70 pages (I think), with Times New Roman 12, 1.5 line spacing, and A4 paper. The budget and timeline can be discussed further.