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Wage Discrimination and the Legal Arizona Workers' Act: An Empirical Analysis

Description

The passage of 2007's Legal Arizona Workers Act, which required all new hires to be tested for legal employment status through the federal E-Verify database, drastically changed the employment prospects for undocumented workers in the state. Using data from the 2007-2010 American Community Survey, this paper seeks to identify the…

The passage of 2007's Legal Arizona Workers Act, which required all new hires to be tested for legal employment status through the federal E-Verify database, drastically changed the employment prospects for undocumented workers in the state. Using data from the 2007-2010 American Community Survey, this paper seeks to identify the impact of this law on the labor force in Arizona, specifically regarding undocumented workers and less educated native workers. Overall, the data shows that the wage bias against undocumented immigrants doubled in the four years studied, and the wages of native workers without a high school degree saw a temporary, positive increase compared to comparable workers in other states. The law did not have an effect on the wages of native workers with a high school degree.

ContributorsSantiago, Maria Christina (Author) / Pereira, Claudiney (Thesis director) / Mendez, Jose (Committee member) / School of International Letters and Cultures (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)

Created2018-05

Is Blockchain A Disruptive Technology In Africa?

Description

Blockchain technology is becoming the new platform for the future of money as a means of payment. It was originally developed to support the cryptocurrency (bitcoin) functionality and improve the way of doing business. However, with its versatility, it has evolved into a multifunctional innovation that can be being applied…

Blockchain technology is becoming the new platform for the future of money as a means of payment. It was originally developed to support the cryptocurrency (bitcoin) functionality and improve the way of doing business. However, with its versatility, it has evolved into a multifunctional innovation that can be being applied in different non-business sectors that have a great impact on the economy. I will review some aspects of the economy that are likely to be impacted like the role of a centralized monetary system, need for regulation in business and role of business innovation in the economy. Moreover, I will investigate its impact in emerging markets because unlike the developed economies, emerging markets have greater potential to expand as they still have increasing returns to scale and rapidly growing. Some of the ways that this occurs include cost reduction in financial market and cross-border payments, faster international remittances, and curbing problems like corruption. The paper concludes that there are no much prospects on the expectations of the technology in the African economy because of the challenges in adopting it like scalability, conservativeness of the society to incubate new technology, and lack of infrastructure to support the new technology.

ContributorsJohn, Teresia Mawia (Author) / Pereira, Claudiney (Thesis director) / Mendez, Jose (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)

Created2018-05

Food Based Strategies Against Alzheimer's Disease

Description

The purpose of this project is to present and consolidate current research on various nutrients and diet patterns and assess their role on the development of Alzheimer's Disease. I will begin with an explanation of Alzheimer's Disease that includes general health related information and the statistical prevalence of the disease.…

The purpose of this project is to present and consolidate current research on various nutrients and diet patterns and assess their role on the development of Alzheimer's Disease. I will begin with an explanation of Alzheimer's Disease that includes general health related information and the statistical prevalence of the disease. Following the informational overview, I will be presenting the most current research and summarizing the findings for seven single nutrients and five dietary patterns. Following the assessment will be an expository segment discussing epigenetics nutrigenomics and how this process works with different nutrients and diet patterns to impact the likelihood of developing Alzheimer's Disease from a genetic perspective. Based on the research found in the single nutrients segment, the dietary pattern segment, and the epigenetics nutrigenomics segment, I will conclude with a holistic diet plan that is the most preventative against Alzheimer's Disease.

ContributorsStea, Alexandra Rose (Author) / Martinelli, Sarah (Thesis director) / Pereira, Claudiney (Committee member) / W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)

Created2018-05

Income Inequality in the United States: Decomposing the Gini Coefficient

Description

This paper uses March CPS data to decompose the Gini coefficient by source of income. The sources of income, divided by labor income, capital income, and public transfer income, include earnings; interest, dividends, and net rentals; public assistance and welfare; retirement funds; self-employment; farm or non incorporated self-employment; nonfarm self-employment;…

This paper uses March CPS data to decompose the Gini coefficient by source of income. The sources of income, divided by labor income, capital income, and public transfer income, include earnings; interest, dividends, and net rentals; public assistance and welfare; retirement funds; self-employment; farm or non incorporated self-employment; nonfarm self-employment; Social Security or railroad retirement; supplemental security; wages and salaries; and unearned sources. The decomposition yields the share of a source in total income, the source Gini corresponding to the distribution of income from a source, the Gini correlation of income from a source with the distribution of total income, and the impact of a marginal change in a source on overall income inequality. Labor income had the largest negative impact on income inequality (resulting from wages and salaries mostly), while capital income did worsen it but on a much smaller scale. Public transfers that favor bottom income groups helped to alleviate income inequality for both individuals and households.

ContributorsRies, Julie (Author) / Pereira, Claudiney (Thesis director) / Larroucau, Tomas (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Information Systems (Contributor)

Created2023-05

The Effect of a Juvenile Conviction on Labor Market and Educational Outcomes

Description

Using data from the 1997 National Longitudinal Survey of Youth, this paper seeks to determine the impact of juvenile delinquency on labor market outcomes and educational attainment. Overall, this paper found that having a juvenile conviction leads to decreases in the probability of both full time and regular employment. Men…

Using data from the 1997 National Longitudinal Survey of Youth, this paper seeks to determine the impact of juvenile delinquency on labor market outcomes and educational attainment. Overall, this paper found that having a juvenile conviction leads to decreases in the probability of both full time and regular employment. Men with juvenile adjudications were found to have greater decreases in employment in comparison to women. Regarding educational attainment, this study found that having a juvenile conviction increases the likelihood of dropping out of high school and decreases the likelihood of having a four-year degree or higher. This emphasizes the importance of creating more support and reducing barriers for individuals who have been convicted as juveniles to allow them to succeed in the world post incarceration.

ContributorsPurdy, Lillian (Author) / Pereira, Claudiney (Thesis director) / Dornelles, Adriana (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / School of Art (Contributor) / School of Social Transformation (Contributor) / Economics Program in CLAS (Contributor)

Created2023-05

Using Machine Learning Classification Techniques to Predict Recessionary Periods in the U.S. Economy

Description

The goal of this research project is to determine how beneficial machine learning (ML) techniquescan be in predicting recessions. Past work has utilized a multitude of classification methods from Probit models to linear Support Vector Machines (SVMs) and obtained accuracies nearing 60-70%, where some models even predicted the Great Recession…

The goal of this research project is to determine how beneficial machine learning (ML) techniquescan be in predicting recessions. Past work has utilized a multitude of classification methods from Probit models to linear Support Vector Machines (SVMs) and obtained accuracies nearing 60-70%, where some models even predicted the Great Recession based off data from the previous 50 years. This paper will build on past work, by starting with less complex classification techniques that are more broadly used in recession forecasting and end by incorporating more complex ML models that produce higher accuracies than their more primitive counterparts. Many models were tested in this analysis and the findings here corroborate past work that the SVM methodology produces more accurate results than currently used probit models, but adds on that other ML models produced sufficient accuracy as well.

ContributorsHogan, Carter (Author) / McCulloch, Robert (Thesis director) / Pereira, Claudiney (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)

Created2022-05