#### Event Title

The Effects of Migration on State GDP

#### Session Number

Project ID: BHVSO 06

#### Advisor(s)

Patrick Kearney; Illinois Mathematics and Science Academy

#### Discipline

Behavioral and Social Sciences

#### Start Date

22-4-2020 8:50 AM

#### End Date

22-4-2020 9:05 AM

#### Abstract

This research explores the statistical relationship between state GDP and migration in the United States. The statistical relationship can then be applied to a social science relationship in the real world, not just numbers. Other researches have conducted research on the same topic, but either nationally (not state GDP), but also in different countries. By looking at a closer scale, we can more closely look at the relationship and what this means in regards to state. By using the program R, we can see how the p-value and other means of measuring this relationship can help predict future events. If the relationship is significant, then that means migration heavily influences state GDP and we can see patterns in history, but also predict future GDP’s. This project works to connect numbers to real life situations and to see what kind of relationship migration and GDP have with one another by using data from 2004, 2005, and 2006 and R. This can be done by graphing and T-tests. So far, this is a work in progress by gathering data into spreadsheets and working through R. This means that as of right now, there is no found relationship as of now. The significance of this research is to help predict ways GDP might vary in different states and predict patterns.

The Effects of Migration on State GDP

This research explores the statistical relationship between state GDP and migration in the United States. The statistical relationship can then be applied to a social science relationship in the real world, not just numbers. Other researches have conducted research on the same topic, but either nationally (not state GDP), but also in different countries. By looking at a closer scale, we can more closely look at the relationship and what this means in regards to state. By using the program R, we can see how the p-value and other means of measuring this relationship can help predict future events. If the relationship is significant, then that means migration heavily influences state GDP and we can see patterns in history, but also predict future GDP’s. This project works to connect numbers to real life situations and to see what kind of relationship migration and GDP have with one another by using data from 2004, 2005, and 2006 and R. This can be done by graphing and T-tests. So far, this is a work in progress by gathering data into spreadsheets and working through R. This means that as of right now, there is no found relationship as of now. The significance of this research is to help predict ways GDP might vary in different states and predict patterns.