Analyze some Data - STATA (urgently: Within 3hrs)

This research paper is based on the topic of immigrants and their involvement in self-employment in Canada, how it compares to the Canadian-born residents, and how both of these groups compare to the employed group (the people who are not employed, and receive wages). This assignment requires the use of the statistical software called STATA. Please use this to analyze the dataset (dropbox link is provided here - [login to view URL] ). PLEASE, make sure you are PROFICIENT and EXPERIENCED with Stata at the ADVANCED level. These are parts that are needed to be included in addition to the regular body: b)Present your tables of results focusing on the sign, significance and magnitude of the coefficients of interest. c) Present any additional robustness test and/or sensitivity analyses of your hypothesis of interest Present your descriptive statistics indicating what they tell you about your hypothesis of interest? This paper should be based on the research paper by Herbert J. Schuetze and Heather Antecol "Immigration, Entrepreneurship and the Venture Start-Up Process" (attached), so please make frequent references to this paper. The main idea is to "continue" and build upon their research of their paper using the dataset provided. This dataset is 2011 Canadian National dataset survey. When using STATA, in one of the parts - please create three distinct groups: Recent immigrants (less than 15 years from the date of arrival), older immigrants (more than 15 years from the date of arrival), and Canadian-born. Based on my preliminary research, it should be that older immigrants have a higher income than Canadian-born and recent immigrants. Let me know if you have any questions with that. There should be a lot of analyzing in this paper and a lot of descriptive statistics to back up your research. Please copy and paste the tables from STATA into the paper. There should be at least 7 tables and 2 diagrams from STATA, starting from descriptive statistics and finishing with linear or multiple regression models. Descriptive statistics can include various means, ranges, standard deviations, etc. Please copy and paste and provide a thorough explanation for the results.