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Existing research into the health benefits of insurance fall into two major categories \u2014 observational and experimental. Observational studies have centered on data sets from before 2000 and focus on the mortality differences between the privately insured and the uninsured. Experimental studies began with Massachusetts' 2006 health reform and continued

Existing research into the health benefits of insurance fall into two major categories \u2014 observational and experimental. Observational studies have centered on data sets from before 2000 and focus on the mortality differences between the privately insured and the uninsured. Experimental studies began with Massachusetts' 2006 health reform and continued after the passage of the Affordable Care Act. These studies measure the effects of public insurance among the coverage expansion populations. These two bodies of literature come to ambiguous and contradictory conclusions to the mortality effects and health value of insurance. This study extends the observational methodologies to the publicly insured in samples from the National Health and Nutrition Examination Survey in both the 1988-1994 survey and the 2001-2002 survey. Using the Cox Proportional Hazard model, this study estimates the hazard ratios faced by the privately and publicly insured compared to the uninsured. This study finds the publicly insured face hazards 1.5 times those of the uninsured (p<.001), while the privately insured do not face hazards significantly different from those of the uninsured. Literature suggests that some unobserved characteristic of the publicly insured are influencing their mortality. Interacting with participants health reveals that these differences across groups shrink as health declines. Experimental literature suggests that public insurance lowers the uninsured risk from "healthcare amenable" conditions. Treatment of these conditions may explain the hazard reductions among the uninsured in non-excellent health. The high risk of the publicly insured in excellent health defies explanation.
ContributorsMorita, Aidan James Donnelly (Author) / Veramendi, Gregory (Thesis director) / Zafar, Basit (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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In this paper I seek to understand how consumers value music today by investigating what consumers are willing to pay for digitally downloaded songs (such as the ones available on the iTunes or Amazon music stores) and the variety of factors that influence their willingness to pay. I conducted a

In this paper I seek to understand how consumers value music today by investigating what consumers are willing to pay for digitally downloaded songs (such as the ones available on the iTunes or Amazon music stores) and the variety of factors that influence their willingness to pay. I conducted a survey and received over 500 responses regarding willingness to pay for single-song downloads, consumer sentiment on whether music should be free, streaming service use, and other information pertaining to music consumption behavior. Through this research I found that paid-streamers are willing to pay more for songs than those who do not pay to stream, all else being equal. Further, Free-streamers are not willing to pay significantly more or less than non-streamers. This finding is additional information to other research that suggests streaming acts as a substitute for sales. I also found that most consumers are in the middle when it comes to the debate for whether music should always be free or always be purchased. Where someone aligns on the spectrum is a statistically significant contributing factor to what that person is willing to pay for a song. My findings also suggest that consumer preferences distinguish between benefit derived from music ownership and benefit derived from the ability to listen to music. This information sheds more light on the reason behind the declining digital download market.
ContributorsRodriguez, Stefan Daniel (Author) / Mandel, Naomi (Thesis director) / Veramendi, Gregory (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Upon hiring a new college graduate, employers are left with limited information about the true productivity of the individual, mainly based on the information provided via resume and other related documents. Based on the information, which may include (and is not limited to) education years, grade point average(s), the institution

Upon hiring a new college graduate, employers are left with limited information about the true productivity of the individual, mainly based on the information provided via resume and other related documents. Based on the information, which may include (and is not limited to) education years, grade point average(s), the institution one attended, majors, etc., employers attempt to differentiate between the candidates. Existing employer learning literature, such as Altonji and Pierret (2001) and Peter Arcidiacono, Patrick Bayer, and Aurel Hizmo (2010), have found that employers statistically discriminate upon hiring and estimate wages based on expected productivity conditional to observable characteristics--specifically education. As one's work experience accumulates, the wages are adjusted to the newly learned characteristics correlated with productivity. Thus, college graduates are more appealing as job candidates than high school graduates, with little learning done with experience in the labor market as employers have a more accurate depiction on productivity with more education years. With rising demands for high-skilled labor, there is a growing interest on what employers learn about from the name of the college listed on one's resume, as varying ability students sort into varying quality colleges. I include a one-dimensional index of college quality, as similarly constructed by Eleanor Dillon and Jeffrey Smith (2015), to measure the effects of attending a highly-selective institution in predicting individual ability. This paper provides additional support for the employer learning model on college graduates, with an emphasis on the direct role that college quality has at the start of one's career. Although college quality appears to be influential in providing employers additional information on one's productivity, unlike education, the weight placed on it by employers does not change with experience in the labor market. I further investigate within the college market and provide possible explanations behind learning on the basis of college quality, including: the possibility of information explained by quality unrelated to one's ability and the effects of attending a highly selective college.
ContributorsNam, Jimin (Author) / Veramendi, Gregory (Thesis director) / Dillon, Eleanor (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
Agent based models allow for complex results from simple parameters. The mobile agents in my model, the firms, are allocated an amount of capital, while the static agents, the workers, are allocated a range of wages. The firms are then allowed to move around and compete until they match with

Agent based models allow for complex results from simple parameters. The mobile agents in my model, the firms, are allocated an amount of capital, while the static agents, the workers, are allocated a range of wages. The firms are then allowed to move around and compete until they match with a worker that maximizes their production. It was found from the simulation that as competition increases so do wages. It was also found that when firms stay in the environment for longer that a higher wage is possible as a result of a larger window for drawn out competition. The different parameters result in a range of equilibriums that take variable amounts of time to reach. These results are interesting because they demonstrate that the mean wage is strongly dependent upon the window of time that firms are able to compete within. This type of model was useful because it demonstrated that there is a variation in the time dependence of the equilibrium. It also demonstrated that when there is very little entry and exiting of the market, that wage levels out at an equilibrium that is the same, regardless of the ratio between the number of firms and the number of workers. Further work to be done on this model includes the addition of a Matching Function so that firms and workers have a more fair agreement. I will also be adding parameters that allow for firms to see the workers around them so that firms are able to interact with multiple workers at the same time. Both of these alteration should improve the overall accuracy of the model.
ContributorsElledge, Jacob Morris (Author) / Veramendi, Gregory (Thesis director) / Murphy, Alvin (Committee member) / Department of Economics (Contributor) / Department of Physics (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Description
The impact of the 2008 Great Recession was felt on a global level. While many European countries moved to
implement large fiscal adjustments in response to the financial crisis, various other economic consequences
were felt, such as inflation, public debt growth, and a decrease in purchasing power. A result from these
consequences that

The impact of the 2008 Great Recession was felt on a global level. While many European countries moved to
implement large fiscal adjustments in response to the financial crisis, various other economic consequences
were felt, such as inflation, public debt growth, and a decrease in purchasing power. A result from these
consequences that typically occur every recession are demand shocks within the employment sector. As firms
are put into tight financial positions, employers are forced to make employment decisions to cut costs for
long-term sustainability, such as laying off workers, or reducing their working hours.

This paper aims to investigate how weekly working hours are impacted by shocks to the economy across European countries. Using the 2008 recession as the basis, an empirical analysis was conducted with panel data for 32 countries over 33 years, with average weekly working hours across four occupational groups as the variable of interest, and various economic indicators such as GDP growth as independent variables. Additionally, countries were split up and grouped based on geographical location to examine potential country and region-specific trends.
Over time, there is a decreasing trend in weekly working hours across all observed occupations and countries. This decreasing trend continues during the 2008 recession, but the slope of decrease is not significant relative to the entire time period. However, when dis-aggregated into occupational groups with a distinction between full-time and part-time workers, the trends in working hours are a much more noticeable, both during the recession and over the entire time frame of observation.
ContributorsDong, William (Author) / Veramendi, Gregory (Thesis director) / Bick, Alexander (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05