Matching Items (3)
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- All Subjects: Elderly
- Creators: Bender, Diane
Description
The United States elderly population is becoming increasingly larger, there is a need for a more adequate housing type to accommodate this population. It is estimated that by 2020, there will be a need for approximately 1.6 to 2.9 million units of affordable Assisted Living (Blake, 2005). With limited income and higher health bills, adequate housing becomes a low priority. It is estimated that 7.1 million elderly households have serious housing problems. (Blake, 2005) The scope of this research will look at literature, case studies, and interviews to begin to create and understand the necessary design aspects of Assisted Living and Affordable Housing to better create a housing typology that includes both low income residents and Assisted Living needs. This research hopes to have an outcome of Design Recommendations that can be utilized by designers when designing for an Affordable Assisted Living typology.
ContributorsRothner, Colleen (Author) / Bender, Diane (Thesis advisor) / Shraiky, James (Committee member) / Stapp, Mark (Committee member) / Arizona State University (Publisher)
Created2014
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
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