Barrett, The Honors College Thesis/Creative Project Collection
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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- Creators: Department of Economics
Description
The Clean Power Plan seeks to reduce CO2 emissions in the energy industry, which is the largest source of CO2 emissions in the United States. In order to comply with the Clean Power Plan, electric utilities in Arizona will need to meet the electricity demand while reducing the use of fossil fuel sources in generation. The study first outlines the organization of the power sector in the United States and the structural and price changes attempted in the industry during the period of restructuring. The recent final rule of the Clean Power Plan is then described in detail with a narrowed focus on Arizona. Data from APS, a representative utility of Arizona, is used for the remainder of the analysis to determine the price increase necessary to cut Arizona's CO2 emissions in order to meet the federal goal. The first regression models the variables which affect total demand and thus generation load, from which we estimate the marginal effect of price on demand. The second regression models CO2 emissions as a function of different levels of generation. This allows the effect of generation on emissions to fluctuate with ranges of load, following the logic of the merit order of plants and changing rates of emissions for different sources. Two methods are used to find the necessary percentage increase in price to meet the CPP goals: one based on the mass-based goal for Arizona and the other based on the percentage reduction for Arizona. Then a price increase is calculated for a projection into the future using known changes in energy supply.
ContributorsHerman, Laura Alexandra (Author) / Silverman, Daniel (Thesis director) / Kuminoff, Nicolai (Committee member) / Department of Economics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The Medicaid expansion policy that was introduced during the Obama administration has been a political point of controversy. The expansion aimed to increase health insurance coverage for those who are unable to afford health insurance for themselves.
This analysis aimed to determine the economic effect of the Medicaid expansion on real GDP per capita. The expansion is believed to result in greater worker productivity and increases in healthcare service consumption and consumption of other goods. As health insurance coverage may increase real GDP per capita due to healthier workers being more productive, an analysis was first done on the effect of the expansion on health insurance coverage, then the effect of the health insurance coverage on real GDP per capita. The data used was in the time frame of 1999 to 2016 and organized by state, and gathered from the Bureau of Economic Analysis, the U.S Census Bureau, the Kaiser Family Foundation, Bureau of Labor Statistics, and the Federal Reserve Bank of St. Louis. The analysis was structured as a 2-stage multivariable linear regression. These regressions were modeled as a fixed-effects regression so states may be compared to itself over time. The first regression was of health insurance coverage on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, Medicaid expansion status, and year. The predicted values of this regression were then used as an instrumental variable in the second regression. The second regression was of real GDP per capita on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, the instrumental variable, and year. Regressions were also done on the expansion’s effect on per capita personal consumption expenditures and healthcare consumption expenditures using the instrumental variable.
The results of the regressions show that the expansion had a positive effect on health insurance coverage and real GDP per capita. It also increased personal expenditures per capita and healthcare expenditures per capita, suggesting that the lower price of healthcare results in increased overall consumption. The data was constrained by time, as the expansion was only implemented recently, and some states are still deciding whether or not to. Thus, the results of support expectations, but more time would need to pass to more accurately estimate the effects of the expansion on these states.
This analysis aimed to determine the economic effect of the Medicaid expansion on real GDP per capita. The expansion is believed to result in greater worker productivity and increases in healthcare service consumption and consumption of other goods. As health insurance coverage may increase real GDP per capita due to healthier workers being more productive, an analysis was first done on the effect of the expansion on health insurance coverage, then the effect of the health insurance coverage on real GDP per capita. The data used was in the time frame of 1999 to 2016 and organized by state, and gathered from the Bureau of Economic Analysis, the U.S Census Bureau, the Kaiser Family Foundation, Bureau of Labor Statistics, and the Federal Reserve Bank of St. Louis. The analysis was structured as a 2-stage multivariable linear regression. These regressions were modeled as a fixed-effects regression so states may be compared to itself over time. The first regression was of health insurance coverage on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, Medicaid expansion status, and year. The predicted values of this regression were then used as an instrumental variable in the second regression. The second regression was of real GDP per capita on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, the instrumental variable, and year. Regressions were also done on the expansion’s effect on per capita personal consumption expenditures and healthcare consumption expenditures using the instrumental variable.
The results of the regressions show that the expansion had a positive effect on health insurance coverage and real GDP per capita. It also increased personal expenditures per capita and healthcare expenditures per capita, suggesting that the lower price of healthcare results in increased overall consumption. The data was constrained by time, as the expansion was only implemented recently, and some states are still deciding whether or not to. Thus, the results of support expectations, but more time would need to pass to more accurately estimate the effects of the expansion on these states.
ContributorsSmoudi, Senan (Author) / Silverman, Daniel (Thesis director) / Baldwin, Marjorie (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Amid the fast-growing market of plant-based alternatives to conventional meat, there still lies uncertainty about consumers’ preferences for these new products. Through an online survey using a Becker-DeGroot-Marschak mechanism, I test the effect that environmental information provision has on consumers’ immediate and long-term willingness- to-pay for the Whopper and Impossible Whopper from Burger King. Respondents were randomly assigned to either a control group or a treatment group, and both received information on taste in an attempt to isolate the effect of environmental information. Results show that certain groups respond to the information differently. Specifically, consumers who care about climate change are affected greatly by environmental in- formation suggesting these “climate advocates” are not fully informed despite the efforts of Impossible Foods. Vegetarians and highly educated individuals have relatively stronger preferences for the plant-based burger, in line with previous studies. Results also show a lasting effect of information on WTP, suggesting little need for repeated interventions.
ContributorsStreff, Adam (Author) / Silverman, Daniel (Thesis director) / Kuminoff, Nicolai (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Minimum wage legislation has always been a controversial topic within the fields of politics and economics. There are those who support it under the belief that those affected will be better off, seeing increased wages, greater efficiency, and overall economic prosperity, whereas its opponents argue against it under the belief that it could lead to negative effects such as decreased employment, higher prices, and loss of productivity. This is something that has recently come up in Arizona after the enactment of Proposition 206 (Prop.206), a law which is set to raise the state minimum wage from $8.05 in 2016 to $12.00 by 2020. In this paper, rather than taking a political stance, however, we seek to find answers about the real effects that this minimum wage law has had on wage earners through the manner in which it has affected the state’s wage distribution, meaning the percentage of earners making a certain hourly rate, or between a certain wage range (i.e. $10.00 to $10.50). We begin this search by looking at May Wage Estimates offered by the Bureau of Labor Statistics (BLS). From that data, we created wage distributions for the state of Arizona for the years 2011-2018. These showed us what percentage of workers in the state are making a certain hourly rate based on the total number of employees in Arizona. By summarizing this through tables and histograms, we can also visually see the way in which AZ wage distributions have changed over time. However, we also sought to visually compare the AZ wage distributions with that of nearby states, so we also used wage distribution data from Nevada, Utah, and New Mexico. Finally, we also wanted to quantify the fixed effects of enacting the legislation in the state of AZ. To do so we ran a difference-in-differences analysis that gave us an actual value measuring how recent minimum wage increases have affected the percentage of total wage earning less than $11.40 per hour. We discovered that our results, although not extremely significant (due to available data), do strongly indicate that the recent minimum wage legislation in AZ has increased the percentage of workers earning more than that amount per hour. Following that, we also give recommendations that could improve the results found in this report.
ContributorsPerez Noyola, Manuel A. (Author) / Silverman, Daniel (Thesis director) / Cordova, Luis (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Nonlinear pricing is a term that looks at the relationship between price and quantity. Normally firms bundle breakfast cereals together and then sell them at least a price that is a third of the single unit price. This shows a lack of linearity between the price and the quantity. Most of the breakfast cereal brands like Kellogg’s , Post and others employ nonlinear pricing schedules as a way of motivating consumers to purchase their products. They use these methods to increase their product sales and boost profits respectively. An example of nonlinear pricing is when a consumer is given an option to buy two boxes of cereal and get and the third one for free.
According to Market Watch (10/08/2018), 85% of breakfast cereal brand companies use the nonlinear pricing model. This is a very popular and competitive market strategy used by other companies as well. The purpose of this thesis is to therefore evaluate the effectiveness of the nonlinear pricing strategy popular in the breakfast cereal industry, as well as ascertaining whether this strategy fosters loyalty amongst cereal consumers. I have always wondered if breakfast cereal companies that use nonlinear pricing models shortchange themselves by recycling their own customers instead of attracting new ones. To respond to that question, l used data from the breakfast cereal industry for the year 2017. This data received integrity research and assurance approval at Arizona State University . Moreover, the study used breakfast cereal data as the backbone of the analysis because consumption of breakfast cereals happens throughout the year and breakfast cereals have a longer shelf life. The data is based on receipt uploads from over 400,000 users of the Omni panel website. My goal with the thesis is to evaluate the effectiveness of nonlinear pricing schedules in relation to increasing sales and fostering customer loyalty. At the end of the study, l would like to have developed a strong and data-based opinion on why consumers choose the breakfast cereal they purchased and also on the relationship between nonlinear pricing and consumer loyalty. I hope to use my findings to propose a better model which, if used by these businesses, can enable them to generate more returns and cultivate customer loyalty.
According to Market Watch (10/08/2018), 85% of breakfast cereal brand companies use the nonlinear pricing model. This is a very popular and competitive market strategy used by other companies as well. The purpose of this thesis is to therefore evaluate the effectiveness of the nonlinear pricing strategy popular in the breakfast cereal industry, as well as ascertaining whether this strategy fosters loyalty amongst cereal consumers. I have always wondered if breakfast cereal companies that use nonlinear pricing models shortchange themselves by recycling their own customers instead of attracting new ones. To respond to that question, l used data from the breakfast cereal industry for the year 2017. This data received integrity research and assurance approval at Arizona State University . Moreover, the study used breakfast cereal data as the backbone of the analysis because consumption of breakfast cereals happens throughout the year and breakfast cereals have a longer shelf life. The data is based on receipt uploads from over 400,000 users of the Omni panel website. My goal with the thesis is to evaluate the effectiveness of nonlinear pricing schedules in relation to increasing sales and fostering customer loyalty. At the end of the study, l would like to have developed a strong and data-based opinion on why consumers choose the breakfast cereal they purchased and also on the relationship between nonlinear pricing and consumer loyalty. I hope to use my findings to propose a better model which, if used by these businesses, can enable them to generate more returns and cultivate customer loyalty.
ContributorsNgwenya, Alpha (Author) / Silverman, Daniel (Thesis director) / Trujillo, Rhett (Committee member) / Department of Information Systems (Contributor) / Thunderbird School of Global Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This study attempts to reconcile the gap in literature between the abundant research in the social consequences of sanctions but a consistent lack of information regarding its economic effectiveness. I apply a modified neoclassical growth model to analyze the extent that sanctions imposed by the US and UN impact real per capita GDP growth rate. Using the original data, I modify the model employed in the Neuenkirch and Neumeier (2015) study by replacing a fixed effect model with time trends. The results are more aligned with previous economic research on sanctions where sanctions imposed by the US have a moderate but significant 1.5 percent decline effect on GDP growth rate. On the other hand, sanctions imposed by the UN are similarly negative, imposing about a .9 percent decline in GDP growth, however are not statistically significant. While I cannot reject the conclusion by the original authors, I feel that this model provides a more fitting analysis of the impact sanctions impose on GDP growth.
ContributorsHendricks-Costello, Caitlyn (Author) / Silverman, Daniel (Thesis director) / Mendez, Jose (Committee member) / Department of Economics (Contributor) / School of Politics and Global Studies (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05