The Federal Deposit Insurance Corporation (FDIC) was created in 1933. Today, the FDIC’s presence and monitoring ensures that banks are and remain solvent. Although the FDIC does everything in its power to prevent a bank from failing, bank failure can still occur, even in times of relative economic stability. Using a Probit regression analysis, this study assesses the probability of bank failure by looking at 102 different banks, eight different financial variables, and six geographic region variables during the time periods of 1998–1999 and 2001–2002. The geographic location variable is used to investigate if failures occur more often in certain regions of the country or in more urban or rural areas. In the end, none of the financial variables were statistically significant, whereas the regional geographic variables were. This suggests that during a period of relative economic stability, regional economic conditions affect bank failures more so than financial variables.
This paper aims to better understand the role of media in the understanding of HIV in Nepal. This paper uses a compiled probit regression to understand the effect media such as newspapers, radio, and television plays upon the six factors relating to HIV attitudes and awareness on how it spreads This is done separately for men and women. This study uses the DHS data from 2011 for Nepal. Access to media has an effect of between 1% and 32% on HIV related knowledge. This provides an insight on how to reduce its spread effectively in Nepal.
Over the past couple of decades, tourism has become one of the most significant and vibrant aspects of the economy of the Ladakh region in Northern India. It is probably the largest revenue generating sector, especially since the past few years with tourist arrivals exceeding the local population of the region. While tourism definitely seems to have boosted economic growth, it has also led to growing concerns regarding the impact on the natural as well as the cultural environment and the possible consequences on the touristic appeal of the region. Although this forms an important issue for the stability of the local economy, it remains fairly unstudied in the context of Ladakh. This thesis attempts to contribute to the scant literature by providing quantitative evidence to back up the underlying concerns by investigating the sustainability of tourism in the town of Leh in Ladakh through the application of an ordered probit model on tourist survey results. Tourist satisfaction level is used as the sustainability indicator and is modeled in terms of the tourist’s preferences and assessments of the characteristic features of the region. The paper also analyzes Leh’s tourist arrival trends in the context of Butler’s tourist area life cycle (TALC) model and employs the ARIMA forecasting method to produce short term predictions for tourist arrivals. The overall results suggest that Leh’s strength lies in its characteristics like the unique landscape, the cultural heritage and traditions as well as the monasteries and other ancient architectural heritage. The high satisfaction levels reported from the majority of tourists combined with the forecast results seem to suggest that tourism can be sustained at least in the short term. Long term performance would be entirely determined by how the present strengths are handled and by the measures taken to counter the ongoing negative changes.
The world is attempting to become more sustainable while at the same time enhance economic and social wellbeing. Part of this movement is the support of consumer interest in small local farms. Through a contingent valuation we see that Virginia consumers are willing to pay an average premium of about 20% for in-state produce and animal products. Results show that 58% of Virginia consumers are willing to purchase in-state produce and 59% are willing to purchase in-state animal products at the 20% premium. Consumers are willing to pay more for local goods depending on certain demographics and personal preferences. Premiums for local products are subjective to gender, age, income, residential location, certain perceptions of local products, and other important factors. Our findings from analyzing these variables show that farming locally can be beneficial for the consumers, producers, local economy, and the environment.
This thesis suggests that certain characteristics make victims of domestic violence and sexual assault more or less likely to seek a Temporary Protection Order (TPO). In Colorado Springs, CO, the annual number of sexual assaults is exceptionally high and domestic violence incidents are frequent. Using data from TESSA, the only agency that is serving victims in Colorado Springs and El Paso County, CO, this thesis examines self-reported victim characteristics in conjunction with TPO seeking behaviors. After analyzing the data with a probit regression, the results have shown that domestic violence and sexual assault are very different crimes, and that domestic violence victims and sexual assault victims display some important differences when it comes to reporting the crimes and seeking TPO’s. Victims of domestic violence are more likely to seek a protection order against an offender who was an acquaintance, but victims of sexual assault are less likely to seek a protection order against an acquaintance. At the same time, all victims demonstrated some similarities in TPO reporting. TESSA clients that lived in rural locations, that had lower annual familial incomes, and that were associated with the military were less likely, to varying degrees, to seek a TPO. The results of this thesis, if combined with community awareness, engagement and cooperation, have the potential to reduce the occurrence of domestic violence and sexual assault in Colorado Springs.
This thesis analyzes the determinants that influence Southeast Asian immigrant labor force participation. In this analysis variables regarding human capital, time allocation and assimilation are used in a probit model. These variables include educational attainment, family income, citizenship status, marital status, family structure characteristics, age, sex, and others. Findings suggest that sex, age, citizenship status and family structure (having more than one family in a household, being married and being linguistically isolated) have a greater impact on labor force participation than traits such as educational attainment or the ethnic enclave effect.
The current financial aid process requires a vast amount of time and effort from colleges, students, and the government. There is a lack of transparency hindering students from considering college due to their pessimism towards the exorbitant costs and their unawareness of financial aid options. This paper explores the factors that impact prospective students’ decisions to matriculate at Colorado College using a probability distribution model. With admissions data from 2009-2012, I will simulate a simplified rule in which 25% of family income is allocated for tuition and Colorado College pays the difference. Using this new rule, I will analyze the composition of students who are then likely to matriculate and determine the feasibility of the rule. This 25% rule eliminates a significant amount of stress, wasted time, and effort for all components of the financial aid process while maintaining a feasible amount of aid donations.