Completion Date
Spring 6-16-2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Program or Discipline Name
Information Systems Engineering and Management
First Advisor
Stanley Nwoji
Second Advisor
Barry Boyer
Abstract
This study investigates the forecasting of migration from India and Hong Kong to the United States. To study this, quantitative design is employed so numerical data can be used. The proposed research strategy uses the post-positivism approach, as this method can help with looking for explanations via numerical data. The data collection is through using archived data available from the Department of Homeland Security’s website, which is analyzed using descriptive and inferential analysis. The results show how migration trends increase for India but slowly decrease for Hong Kong, along with the best models used to forecast migration.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
pkogta@my.harrisburgu, P. (2023). Forecasting Migration to the United States from Hong Kong and India. Retrieved from https://digitalcommons.harrisburgu.edu/isem_dandt/4
Included in
Computer and Systems Architecture Commons, Demography, Population, and Ecology Commons, Migration Studies Commons