Correspondence Audit Experiment (Determining Discrimination). What is the best fitting command to analyse my data? Logit, Probit or Ranksum?

[Mekhraly Shakhbazov]

Hello, everyone. My name is Mekhraly. I've conducted an experiment and now want to make a proper statistical analysis. Unfortunately, I am not good with STATA and I need help. After reviewing existing literature I concluded that best STATA commands for my data are >> logit, probit and ranksum. At school, they taught us how to use these commands only on data form libraries no real-world examples, thus, today I have no idea how to correctly fit variables from my data into those commands.

My version of STATA is 14

My data consists of the following variables:

vacancyLinkID - Weblink to a job vacancy on the website. Each weblink is a unique we
salaryFrom - A min starting salary for the job
salaryTo - A max potential salary for the job
experience - A required experience for the job
4 applicants representing different ethnic groups
Average salary
possible responses from employers: 0 - rejection, 1 - acceptance, 2 - the application is seen by an employer, 3 - the application is not seen by an employe

what I want to find is

1. if there is a significant difference in response rate among 4 applicants
2. if there is a significant difference in average salary when applicants receive "1 - acceptance"

I've attached xlsx with original data, could not copy and paste it here because it looked messed up

if anything is not clear please let me know!

thank you in advance!