Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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According to the Tax Policy Center, a joint project of the Brookings Institution and Urban Institute, the Earned Income Tax Credit (EITC) will provide 26 million households with 60 billion dollars of reduced taxes and refunds in 2015 \u2014 resources that serve to lift millions of families above the federal

According to the Tax Policy Center, a joint project of the Brookings Institution and Urban Institute, the Earned Income Tax Credit (EITC) will provide 26 million households with 60 billion dollars of reduced taxes and refunds in 2015 \u2014 resources that serve to lift millions of families above the federal poverty line. Responding to the popularity of EITC programs and recent discussion of its expansion for childless adults, I select three comparative case studies of state-level EITC reform from 2005 to 2013. Each state represents a different kind of policy reform: the creation of a supplemental credit in Connecticut, credit reduction in New Jersey, and finally credit expansion for childless adults in Maryland. For each case study, I use Current Population Survey panel data from the March Supplement to complete a differences-in-differences (DD) analysis of EITC policy changes. Specifically, I analyze effects of policy reform on total earned income, employment and usual hours worked. For comparison groups, I construct unique counterfactual populations of northeastern U.S. states, using people of color with less than a college degree as my treatment group for their increased sensitivity to EITC policy reform. I find no statistically significant effects of policy creation in Connecticut, significant decreases in employment and hours worked in New Jersey, and finally, significant increases in earnings and hours worked in Maryland. My work supports the findings of other empirical work, suggesting that awareness of new supplemental EITC programs is critical to their effectiveness while demonstrating that these types of programs can affect the labor supply and outcomes of eligible groups.
ContributorsRichard, Katherine Rose (Author) / Dillon, Eleanor Wiske (Thesis director) / Silverman, Daniel (Committee member) / Herbst, Chris (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor)
Created2015-05
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Description
The purpose of this thesis is to examine the current atmosphere of genetic patent law and use economic theory to construct models which describe the consequences of the legal code. I intend to analyze the four specific cases of Diamond v. Chakrabarty, Association for Molecular Pathology v. Myriad Genetics, the

The purpose of this thesis is to examine the current atmosphere of genetic patent law and use economic theory to construct models which describe the consequences of the legal code. I intend to analyze the four specific cases of Diamond v. Chakrabarty, Association for Molecular Pathology v. Myriad Genetics, the Alzheimer's Institute of America v. Jackson Laboratory, and the harm caused by PGx Health's monopoly over the LQTS gene.
ContributorsVolz, Caleb Richard (Author) / DeSerpa, Allan (Thesis director) / Silverman, Daniel (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor) / Economics Program in CLAS (Contributor)
Created2014-05
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Description
I conduct a two-fold study on the relationship between adverse selection and nonlinear pricing in competitive insurance markets. First, I reassess empirical evidence of adverse selection in life insurance with the Health and Retirement Study (HRS) data used by Cawley and Philipson (1999). Specifically, I evaluate the shape of the

I conduct a two-fold study on the relationship between adverse selection and nonlinear pricing in competitive insurance markets. First, I reassess empirical evidence of adverse selection in life insurance with the Health and Retirement Study (HRS) data used by Cawley and Philipson (1999). Specifically, I evaluate the shape of the premium schedule and present indications of quantity premia beyond a certain coverage level. The observed pricing schedule appears like the "backward-S-shaped" curve described by Chade and Schlee (2012); I discuss why this result cannot be entirely explained by fixed costs of underwriting. Second, I critique the arguments against adverse selection in existing literature by modifying the Rothschild and Stiglitz (1976) model of competitive insurance markets. I present several existing models and a new framework to explain how adverse selection and quantity discounts can coexist in equilibrium. These modifications deviate from the standard models of competitive insurance, but produce plausible hypotheses with conclusions contrary to conventional theoretical results.
ContributorsMahan, Scott Alexander (Author) / Schlee, Edward (Thesis director) / Silverman, Daniel (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05