Labor discrimination in the US : A study about ethnic discrimination against Hispanics in the United States’ labor market and how Donald Trump’s involvement has affected it.

• Main Authors: Matti, Matthew, Kesertzi, Joakim
• Format: Others
• Language: English
• Published: Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS) 2021
• Subjects: Ethnic discrimination; Hispanic; Income; USA; Economics; Nationalekonomi; Social Sciences; Samhällsvetenskap
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105083

In this paper, we investigate if there is any ethnic discrimination towards Hispanics in the labor market for the US and how Donald Trump’s involvement has affected it. By comparing the income of Hispanics with White-Americans with data collected from IPUMS between the years 2010-2019. We investigated the period before and after 2016 when he got elected as the new president for the United States. We looked further into his different statements against the Hispanic population and how that might have affected the Hispanics overall. This paper result was obtained through the difference in difference model with the help of our linear probability model. From this model, a different coefficient and a dummy variable were created to get a result with accuracy for this study. The results showed that the logarithmic income for both ethnicities has decreased over time, but just slightly. Furthermore, our results indicated no increased ethnic discrimination in terms of income during our given time interval. However, we could see a difference in educational attainment. Those with higher education earned more after 2016 than previous years, which goes for Hispanics and White-Americans. We interpret the results by seeing no significant change in the Hispanic’s income level, meaning that Trump did not affect their income. However, we can conclude that there was an income gap before Trump's presidency started and that his time as president did neither increase nor decrease the gap between the two ethnicities in our research.