Barrett

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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Healthcare Cost Trend Impacts by COVID-19 in the State of Arizona

Description

Actuaries can analyze healthcare trends to determine if rates are reasonable and if reserves are adequate. In this talk, we will provide a framework of methods to analyze the healthcare trend during the pandemic. COVID-19 may influence future healthcare cost trends in many ways. First, direct COVID-19 costs may increase…

Actuaries can analyze healthcare trends to determine if rates are reasonable and if reserves are adequate. In this talk, we will provide a framework of methods to analyze the healthcare trend during the pandemic. COVID-19 may influence future healthcare cost trends in many ways. First, direct COVID-19 costs may increase the amount of total experienced healthcare costs. However, with the implementation of social distancing, the amount of regularly scheduled care may be deferred to a future date. There are also many unknown factors regarding the transmission of the virus. Implementing epidemiology models allows us to predict infections by studying the dynamics of the disease. The correlation between infection amounts and hospitalization occupancies provide a methodology to estimate the amount of deferred and recouped amounts of regularly scheduled healthcare costs. Thus, the combination of the models allows to model the healthcare cost trend impact due to COVID-19.
ContributorsGabric, Lydia Joan (Author) / Zhou, Hongjuan (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05

What Life Tables Can Tell Us about Disease

DescriptionIn this project, we aim to examine the methods used to obtain U.S. mortality rates, as well as the changes in the mortality rate between subgroups of interest within our population due to various diseases.
ContributorsClermont, Nicholas Charles (Author) / Boggess, May (Thesis director) / Kamarianakis, Ioannis (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2014-05
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Using Generalized Linear Models to Develop Loss Triangles in Reserving

Description
The use of generalized linear models in loss reserving is not new; many statistical models have been developed to fit the loss data gathered by various insurance companies. The most popular models belong to what Glen Barnett and Ben Zehnwirth in "Best Estimates for Reserves" call the "extended link ratio…

The use of generalized linear models in loss reserving is not new; many statistical models have been developed to fit the loss data gathered by various insurance companies. The most popular models belong to what Glen Barnett and Ben Zehnwirth in "Best Estimates for Reserves" call the "extended link ratio family (ELRF)," as they are developed from the chain ladder algorithm used by actuaries to estimate unpaid claims. Although these models are intuitive and easy to implement, they are nevertheless flawed because many of the assumptions behind the models do not hold true when fitted with real-world data. Even more problematically, the ELRF cannot account for environmental changes like inflation which are often observed in the status quo. Barnett and Zehnwirth conclude that a new set of models that contain parameters for not only accident year and development period trends but also payment year trends would be a more accurate predictor of loss development. This research applies the paper's ideas to data gathered by Company XYZ. The data was fitted with an adapted version of Barnett and Zehnwirth's new model in R, and a trend selection algorithm was developed to accompany the regression code. The final forecasts were compared to Company XYZ's booked reserves to evaluate the predictive power of the model.
ContributorsZhang, Zhihan Jennifer (Author) / Milovanovic, Jelena (Thesis director) / Tomita, Melissa (Committee member) / Zicarelli, John (Committee member) / W.P. Carey School of Business (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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The Effects of Cross-Cultural Experiences: A Study of Power Distance and Gender Differences in Cultural Adjustment

Description
Globalization has necessitated cross-cultural communication among groups and individuals alike, often beginning with management. This project considers how the degree of Power Distance, one of Hofstede's cultural dimensions, may change over time as a result of exposure to different, and often opposing, cultural values. We conducted two surveys 12 weeks…

Globalization has necessitated cross-cultural communication among groups and individuals alike, often beginning with management. This project considers how the degree of Power Distance, one of Hofstede's cultural dimensions, may change over time as a result of exposure to different, and often opposing, cultural values. We conducted two surveys 12 weeks apart collecting an initial sample of 317 and retaining a secondary sample of 142. We gathered data on demographics, education, on-campus involvement, cultural dimensions, and levels of comfort with different cultures. Through data analysis we found that as a result of exposure to different cultural values, cultural groups adjust their own views on Power Distance. Specifically, we found that the Anglo cultural group and the international cultural subgroup that had been living in the U.S. for less than 10 years trended towards each other on levels of Power Distance. We also found that international female students adjusted to new cultural surroundings faster than their male counterparts. These discoveries have led us to conclusions regarding the influence of awareness of other cultural values through international exposure, specifically that of Power Distance, as well as male versus female differences in cultural adjustment, and how differing views might trend towards each other with recurrent interaction.
ContributorsNiren, Alyssa (Co-author) / Davidson, Rachel (Co-author) / Lee, Peggy (Thesis director) / Zhang, Zhen (Committee member) / Department of Supply Chain Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05

Overview of Autonomous Vehicles with an Analysis of the Impact on Liability Insurance

DescriptionThis thesis explores the progress of autonomous vehicle technology, regulation, and deployment. It also studies how autonomous vehicles will affect auto insurance, in particular how liability coverage will change and how liability premiums for autonomous vehicles will be different from premiums for traditional vehicles.
ContributorsLaw, Madelyn (Author) / Zhou, Hongjuan (Thesis director) / Milovanovic, Jelena (Committee member) / Zicarelli, John (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-12

Stochastic Modeling of Loss Reserves Using Bayesian Monte Carlo Markov Chain

Description

The Mack model and the Bootstrap Over-Dispersed Poisson model have long been the primary modeling tools used by actuaries and insurers to forecast losses. With the emergence of faster computational technology, new and novel methods to calculate and simulate data are more applicable than ever before. This paper explores the…

The Mack model and the Bootstrap Over-Dispersed Poisson model have long been the primary modeling tools used by actuaries and insurers to forecast losses. With the emergence of faster computational technology, new and novel methods to calculate and simulate data are more applicable than ever before. This paper explores the use of various Bayesian Monte Carlo Markov Chain models recommended by Glenn Meyers and compares the results to the simulated data from the Mack model and the Bootstrap Over-Dispersed Poisson model. Although the Mack model and the Bootstrap Over-Dispersed Poisson model are accurate to a certain degree, newer models could be developed that may yield better results. However, a general concern is that no singular model is able to reflect underlying information that only an individual who has intimate knowledge of the data would know. Thus, the purpose of this paper is not to distinguish one model that works for all applicable data, but to propose various models that have pros and cons and suggest ways that they can be improved upon.
ContributorsZhang, Zhaobo (Author) / Zicarelli, John (Thesis director) / Milovanovic, Jelena (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2023-05