Panel Data Analysis with Stata

I'm in need of a data analyst proficient in Stata to analyze my panel data using advanced econometric models. specifically employ a novel Panel Quantile Autoregression Distributed Lag (PQARDL) approach.

The aim of the research is Investigating the impact of green finance, green innovation, renewable energy, and green tax on carbon emissions in the context of China.

Key Requirements:
- Proficient in using Stata for data analysis
- Extensive experience with panel data
- Knowledgeable in econometric models, particularly the PQARDL
- Capable of analyzing dependent, independent, and control variables
- Able to deliver insights based on causal inference, forecasting, and descriptive statistics

Your role will involve exploring all types of variables within the dataset. Please include past relevant experiences in your proposal. Send me some sample of your analysis since this is not a homework but research paper related work. The work will involve data cleaning and processing, giving a detailed explanation of the results or reporting according to the topic.