Expert Econometrician For Regression Modeling
Budget: ₹12,500 – ₹37,500 INR
I'm seeking a capable professional with extensive experience in econometrics and statistical regression modeling using R or STATA software who can conduct a thorough analysis of my given dataset by applying different types of quantile regression modelling and decomposition analysis to a secondary dataset of employees and their wages.
The work to be done is mainly by following the research methodologies outlined in some research papers, which I will be providing myself. The objectives of the study are as follows:
1.) Determine the impact of various characteristics of workers on their wage in the different type of employment using “sample selection correction for conditional quantile regression” and then decompose the gender wage gap (between males and females) with a Sample Selection Adjusted conditional quantile regression.
2. Figure out how different worker characteristics affect their pay in different types of employment by using unconditional quantile regression and centered regression to find the influence functions, and then use this information to break down the wage gap between men and women in different types of employment.
3.) In both of the above models of objective 2, incorporate the Sample Selection Adjustment methodology.
4.) Using mixed effects quantile regression model(s), determine the impact of various characteristics of workers on their wages in different types of employment.
Note: The details and the research papers based on which the analysis is required are in the attached file.
Your advice and expertise in this matter will be greatly appreciated.
I eagerly look forward to your bid and potential collaboration on this project.
The work to be done is mainly by following the research methodologies outlined in some research papers, which I will be providing myself. The objectives of the study are as follows:
1.) Determine the impact of various characteristics of workers on their wage in the different type of employment using “sample selection correction for conditional quantile regression” and then decompose the gender wage gap (between males and females) with a Sample Selection Adjusted conditional quantile regression.
2. Figure out how different worker characteristics affect their pay in different types of employment by using unconditional quantile regression and centered regression to find the influence functions, and then use this information to break down the wage gap between men and women in different types of employment.
3.) In both of the above models of objective 2, incorporate the Sample Selection Adjustment methodology.
4.) Using mixed effects quantile regression model(s), determine the impact of various characteristics of workers on their wages in different types of employment.
Note: The details and the research papers based on which the analysis is required are in the attached file.
Your advice and expertise in this matter will be greatly appreciated.
I eagerly look forward to your bid and potential collaboration on this project.