The goal of the project was to identify trends in skill migration.
- Analyzing skill migration trend is central to identifying opportunities that are needed for effective skill development policies to promote a competitive labor force that in turn fosters private sector growth and job creation.
- Monitoring international flows of talent allows policy-makers to shape their talent attraction and retention programs
- As it is believed that skill migration is higher towards higher HDI countries, It enables governments across the globe to work towards achieving a higher human development index.
Analyzed 86k records of Linked in-talent skill migration from World Bank data catalog and Human development index from 2015-2019 to demonstrate the impact of HDI, income levels, skill categories on skill migration
Performed exploratory data analysis on the dataset and Applied Multivariate regression model techniques to predict the relationship between skill migration and the predictors.
At the end of the analysis, below inferences were derived -
- The multi-variate regression model showed evidence to accept the null hypothesis that skill migration and HDI have a positive linear relationship. HDI was found to have a significant linear relationship with skill migration levels when holding all of the other variables constant
- The model also provided evidence to reject the second null hypothesis that tech skills led to more skill migration than all other skill groups being explored. Tech skills were not found to have higher levels of skill migration compared to the other skill groups except for when it was compared to that of health care industry migration
See Project