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Description
The goal of this thesis is to conduct a descriptive analysis of the gross domestic product (GDP) sector composition of countries around the world and their respective levels of economic development with consideration of their geographic locations, economic growth over time, and their economic sizes. This analysis will be centered around exploring the differences of the GDP composition of countries at different levels of development, testing the consensus that developed countries tend to be focused on the services sector in comparison to less developed ones, who trend towards focus on the agricultural one. These findings will be primarily attained through use of data interpretation and regression analysis utilizing the statistical software packages of Stata and Excel. Results and analysis are to be supported by powerful data visualizations created in Tableau and the careful examination of said visualizations.
Due to the sheer amount of macro-economic factors and the case specific incidences involved in the determination of a country’s level of economic development, this thesis will focus entirely on the descriptive analysis of the relationship between a country’s GDP sector composition within the agricultural, industrial, and services sectors and their level of economic development measured in GDP per capita. This study will explore the relationship between GDP per capita and geographic regions, growth over time, and economic size as well. These relationships will be used to determine if said factors need to be controlled for when analyzing the relationship between a country’s sector composition and its level of development. A better understanding of what countries look like at all levels of development helps build a complete picture of a what makes a country successful and could be used in future studies that seek to predict economic success based on more and/or separate variables.
Due to the sheer amount of macro-economic factors and the case specific incidences involved in the determination of a country’s level of economic development, this thesis will focus entirely on the descriptive analysis of the relationship between a country’s GDP sector composition within the agricultural, industrial, and services sectors and their level of economic development measured in GDP per capita. This study will explore the relationship between GDP per capita and geographic regions, growth over time, and economic size as well. These relationships will be used to determine if said factors need to be controlled for when analyzing the relationship between a country’s sector composition and its level of development. A better understanding of what countries look like at all levels of development helps build a complete picture of a what makes a country successful and could be used in future studies that seek to predict economic success based on more and/or separate variables.
ContributorsStojsin, Rastko (Author) / Goegan, Brian (Thesis director) / Lopez, Andres Diaz (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This study examines the economic impact of the opioid crisis in the United States. Primarily testing the years 2007-2018, I gathered data from the Census Bureau, Centers for Disease Control, and Kaiser Family Foundation in order to examine the relative impact of a one dollar increase in GDP per Capita on the death rates caused by opioids. By implementing a fixed-effects panel data design, I regressed deaths on GDP per Capita while holding the following constant: population, U.S. retail opioid prescriptions per 100 people, annual average unemployment rate, percent of the population that is Caucasian, and percent of the population that is male. I found that GDP per Capita and opioid related deaths are negatively correlated, meaning that with every additional person dying from opioids, GDP per capita decreases. The finding of this research is important because opioid overdose is harmful to society, as U.S. life expectancy is consistently dropping as opioid death rates rise. Increasing awareness on this topic can help prevent misuse and the overall reduction in opioid related deaths.
ContributorsRavi, Ritika Lisa (Author) / Goegan, Brian (Thesis director) / Hill, John (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Abstract
Objective: To assess the attitudes and knowledge of behavioral health technicians (BHTs)
towards opioid overdose management and to assess the effect of online training on opioid
overdose response on BHTs’ attitudes and knowledge, and the confidence to identify and
respond to opioid overdose situations.
Design/Methods: Pre-intervention Opioid Overdose Knowledge Scale (OOKS) and Opioid
Overdose Attitude Scale (OOAS) surveys were administered electronically to five BHTs in
2020. Data obtained were de-identified. Comparisons between responses to pre-and post-surveys questions were carried out using the standardized Wilcoxon signed-rank statistical test(z). This study was conducted in a residential treatment center (RTC) with the institutional review board's approval from Arizona State University. BHTs aged 18 years and above, working at this RTC were included in the study.
Interventions: An online training was provided on opioid overdose response (OOR) and
naloxone administration and on when to refer patients with opioid use disorder (OUD) for
medication-assisted treatment.
Results: Compared to the pre-intervention surveys, the BHTs showed significant improvements
in attitudes on the overall score on the OOAS (mean= 26.4 ± 13.1; 95% CI = 10.1 - 42.7; z =
2.02; p = 0.043) and significant improvement in knowledge on the OOKS (mean= 10.6 ± 6.5;
95% CI = 2.5 – 18.7; z =2.02, p = 0.043).
Conclusions and Relevance: Training BHTs working in an RTC on opioid overdose response is
effective in increasing attitudes and knowledge related to opioid overdose management. opioid
overdose reversal in RTCs.
Keywords: Naloxone, opioid overdose, overdose education, overdose response program
ContributorsQuie, Georgette (Author) / Guthery, Ann (Thesis advisor)
Created2021-04-12
Description
Objective: To assess the attitudes and knowledge of behavioral health technicians (BHTs)
towards opioid overdose management and to assess the effect of online training on opioid
overdose response on BHTs’ attitudes and knowledge, and the confidence to identify and
respond to opioid overdose situations.
Design/Methods: Pre-intervention Opioid Overdose Knowledge Scale (OOKS) and Opioid
Overdose Attitude Scale (OOAS) surveys were administered electronically to five BHTs in
2020. Data obtained were de-identified. Comparisons between responses to pre-and post-surveys
questions were carried out using the standardized Wilcoxon signed-rank statistical test(z). This
study was conducted in a residential treatment center (RTC) with the institutional review board's
approval from Arizona State University. BHTs aged 18 years and above, working at this RTC
were included in the study.
Interventions: An online training was provided on opioid overdose response (OOR) and
naloxone administration and on when to refer patients with opioid use disorder (OUD) for
medication-assisted treatment.
Results: Compared to the pre-intervention surveys, the BHTs showed significant improvements
in attitudes on the overall score on the OOAS (mean= 26.4 ± 13.1; 95% CI = 10.1 - 42.7; z =
2.02; p = 0.043) and significant improvement in knowledge on the OOKS (mean= 10.6 ± 6.5;
95% CI = 2.5 – 18.7; z =2.02, p = 0.043).
Conclusions and Relevance: Training BHTs working in an RTC on opioid overdose response is
effective in increasing attitudes and knowledge related to opioid overdose management. opioid
overdose reversal in RTCs.
ContributorsQuie, Georgette (Author) / Guthery, Ann (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2021-04-12
Description
This paper, titled “Factors of Economic Development and Implications for the Future” focuses on identifying historical factors that have impacted economic development and analyzing what changes may be important for the future. It uses studies done across the world in energy economics, economic development, economic policy, and more to identify important considerations for evaluating historical growth, as well as concerns for the future, particularly given the threat of climate change. Historically important papers, as well as newer insights both feature heavily. This literary review resulted in the finding that education, energy, trade, policy, institutions, endowments, and culture are all important factors for economic development. Endowments and institutions that arise from them are found to be the most important factor in explaining historical development. The paper also analyzes policy that the existing literature suggests could be beneficial for growth. Next, an analysis of factors that the literature identified as important for growth is carried out to assess which countries may have the highest potentials for future growth. The countries are ranked based upon a composite scoring system created from those factors. Countries in Central Asia feature heavily in the top ten entries, while many African countries narrowly miss out on the top ten but still rank relatively high. Together, the findings of both sections are used to discuss how economies have historically developed as well as possible policies to encourage future sustainable development. Both the literature and statistical findings suggest that for future growth promotion of strong institutions that promote property rights and economic growth will be important. They also suggest that coordinated energy policy to increase green technologies and decouple growth from emissions will be essential.
ContributorsJohnson, Evan Reeve (Author) / Hill, John (Thesis director) / Fried, Stephie (Committee member) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05