Strict Immigration Research Design

Words: 814
Pages: 4

Matthew Cummings
Professor Balla
June 7th, 2018
PSC 2101 Research Design Analysis

Are States with Strict Immigration Laws Developing Lower Unemployment Rates?
In this research design project, I will be analyzing whether or not the states in America that have comparatively harsh immigration laws will also have lower numbers in the unemployment category. The reason why this is important is because if states that enforce stricter immigration policies have lower unemployment rates, then enacting stricter laws on immigration across the United States would help lower unemployment and potentially provide more careers to the citizens of the United States. Tougher immigration policies are directed at attempting to minimize the number of immigrants
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These policies are typically evaluated as more lenient or more strict, relative to other states. I am going to hypothesize that although some states will actually enforce tougher immigration laws, enforcing them will actually not have a significant impact on the state’s rate of unemployment. Looking at some of the strictest immigration policies, most being located in the southern region of the United States, does not come at a surprise. I will then compare these states’ immigration laws to their unemployment rate. We will find that many of the southern states developed these harsher immigration laws hoping to make more jobs for American citizens, in turn creating a lower unemployment …show more content…
However, HB 56 backfired , and as workers began leaving the state, unemployment stayed steady. The same phenomena happened in Georgia , with millions of dollars of crops being left to rot. As we see from the Bureau of Labor Statistics charts , the unemployment rate stayed at a plateaued level for these regionally southern states, and in some cases even increased in certain months of the year. Ironically, the proposal of stricter immigration laws was found to harm the economy when proposed in the state of Mississippi , even resulting in up to over 130,000 lost jobs. We are able to look at statistics and reports like these to being conceptualizing the key independent variable and how it begins to relate to the dependent