Matching Items (8)
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- All Subjects: environment
- Member of: Theses and Dissertations
- Status: Published
Description
South Mountain is the largest municipal park in the nation. It is a bundled amenity, providing a series of linked services to the surrounding communities. A dataset of 19,209 homes in 155 neighborhoods within three miles of the park was utilized in order to complete a hedonic estimation for two nearby urban villages, Ahwatukee Foothills and South Mountain Village. Measures of access include proximity to the park, trailhead access, and adjacency to the park. Two regressions were estimated, the first including lot characteristics and subdivision fixed effects and the second using the coefficients for each subdivision as the dependent variable. These estimates describe how the location of a house in a subdivision contributes to its conditional mean price. As a result they offer a direct basis for capturing amenities measured at the neighborhood scale on home values. Park proximity, trailhead access and adjacency were found to significantly influence the price of homes at the 5% confidence level in Ahwatukee, but not in South Mountain Village. The results of this study can be applied to issues of environmental justice and park access in determining which areas and attributes of the park are associated with a high premium. Though South Mountain was preserved some time ago, development and future preservation in the City of Phoenix can be informed by such studies.
ContributorsRamakrishna, Saritha Kambhampati (Author) / Abbott, Joshua (Thesis director) / Smith, V. Kerry (Committee member) / Schoon, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / Economics Program in CLAS (Contributor) / Department of English (Contributor)
Created2015-05
Description
Catastrophe events occur rather infrequently, but upon their occurrence, can lead to colossal losses for insurance companies. Due to their size and volatility, catastrophe losses are often treated separately from other insurance losses. In fact, many property and casualty insurance companies feature a department or team which focuses solely on modeling catastrophes. Setting reserves for catastrophe losses is difficult due to their unpredictable and often long-tailed nature. Determining loss development factors (LDFs) to estimate the ultimate loss amounts for catastrophe events is one method for setting reserves. In an attempt to aid Company XYZ set more accurate reserves, the research conducted focuses on estimating LDFs for catastrophes which have already occurred and have been settled. Furthermore, the research describes the process used to build a linear model in R to estimate LDFs for Company XYZ's closed catastrophe claims from 2001 \u2014 2016. This linear model was used to predict a catastrophe's LDFs based on the age in weeks of the catastrophe during the first year. Back testing was also performed, as was the comparison between the estimated ultimate losses and actual losses. Future research consideration was proposed.
ContributorsSwoverland, Robert Bo (Author) / Milovanovic, Jelena (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Throughout modern culture and the political arena religious intolerance and misinformation runs rampant. Recent presidential elections have brought two minority religions (in the U.S.) to the forefront of national media attention and national dialogue-leading to presumptions, misunderstandings, and personal opinions that don't necessarily address the realities of the religions. Brought to the forefront by presidential candidates religions or by candidates targeting individual religions for their "connections" to terrorism, the LDS Church and Islam have become targets of religious bias and attacks. Even further attacked have been the women within these religions-who have often been deemed as objectified and oppressed as a result of their religions. This thesis examines religious text and scholarly work to take an objective examination of the religions and describes the realities of the life for the women-separating actual doctrine in the religion from what is a cultural norm and not a representation of the religion itself. By looking at women's roles and the dress code within Islam and Mormonism, this thesis compares Mormon and Muslim women and shows that they are integral parts of their religion with agency, not objectified victims of a system.
ContributorsWarren, Annie Michelle (Author) / Ali, Souad T. (Thesis director) / Daughtrey, Doe (Committee member) / Sandra Day O'Connor College of Law (Contributor) / School of Politics and Global Studies (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
We examine the bias resulting from temporal and spatial aggregation of weather variables in environmental economics. In order to include temporally and/or spatially continuous environmental variables (such as temperature and precipitation), many studies discritize them. The finer the scale of discrization chosen, the more difficult it can be to obtain a complete and reliable data set. Studies performed at very fine scales often find tighter and more dramatic relationships between variables such as temperature and income per capita. We examine this question by repeating the same empirical study at various temporal and spatial scales and comparing the resulting parameter estimates.
ContributorsOber-Reynolds, Daniel Steven (Author) / Hanemann, Michael W. (Thesis director) / Kuminoff, Nicolai V. (Committee member) / School of Historical, Philosophical and Religious Studies (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Mining is a key component of both the Brazilian and Chilean economies and accounts for an outsized share of these countries’ exports. Yet, it is a common target for environmental criticism, especially due to its impacts on local populations and ecosystems. Brazil and Chile have adopted markedly different trade strategies over the past three decades, most notably with regards to their involvement in international trade agreements. This paper investigates how these differences in trade policy since 1990 have affected the sustainability of each country’s mining sector by identifying and comparing the channels through which free trade agreements influence the environmental impacts of resource extraction.
ContributorsKopek, Justin (Author) / Sheriff, Glenn (Thesis director) / Goodman, Glen (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Politics and Global Studies (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor) / School of International Letters and Cultures (Contributor)
Created2023-05
Description
This thesis explores the power of food to transcend cultural and racial borders and to act as a common ground, bringing people of all different backgrounds together. Through globalization, there is an increased movement of people from their homeland to different regions around the world and with this migration comes the spread of their culture and cuisine to new areas. This spreading of culture often creates friction and tension amongst other cultures, however as this thesis argues, with increased diversity, there is the great potential for greater interaction with other cultures and therefore greater appreciation. The key aspect of this thesis is the ways in which food can be used as a tool to overcome racial barriers and serve as a means of positive expression of a culture. I hope to show that by engaging with a culture through its cuisine, one can arguably build a greater appreciation for that culture and therefore lower their preconceived notions and stereotypes.
ContributorsZayanderoudi, Rana Patricia (Author) / Talebi, Shahla (Thesis director) / Eaton, John (Committee member) / School of Politics and Global Studies (Contributor) / Economics Program in CLAS (Contributor) / Department of Management and Entrepreneurship (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
A factor accounting for the COVID-19 pandemic was added to a generalized linear model to more accurately predict unpaid claims. COVID-19 has affected not just healthcare, but all sectors of the economy. Because of this, whether or not an automobile insurance claim is filed during the pandemic needs to be taken into account while estimating unpaid claims. Reserve-estimating functions such as glmReserve from the “ChainLadder” package in the statistical software R were experimented with to produce their own results. Because of their insufficiency, a manual approach to building the model turned out to be the most proficient method. Utilizing the GLM function, a model was built that emulated linear regression with a factor for COVID-19. The effects of such a model are analyzed based on effectiveness and interpretablility. A model such as this would prove useful for future calculations, especially as society is now returning to a “normal” state.
ContributorsKossler, Patrick (Author) / Zicarelli, John (Thesis director) / Milovanovic, Jelena (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05