State federal vocational rehabilitation (VR) agencies are one of the most wide spread and oldest programs designed to help individuals with disabilities. Currently, VR agencies provide various services designed to aide individuals with disabilities obtaining and maintaining employment. Currently, VR agencies serve approximately 1 million individuals with disabilities and spend about 3 billion dollars annually. Given how large and the amount of state and federal dollars are spent on VR, it is important that the outcomes of this program are researched and evaluated. The purpose of this study was to examine how different variables are related to VR outcomes across states. More specifically, this study utilized the International Classification of Functioning, Disability and Health (ICF) as a framework to study how contextual factors such as personal characteristics, agency level factors, and state-economic variables impact the employment rate of three different groupings based on state VR agency performance. This study utilized secondary data analysis to explore these relationships using the FY 2013 RSA-911 dataset was paired with the 2013 American Community Survey (ACS). Multiple regression analysis was used to investigate the relationships that exist between personal characteristics and state economic factors across the VR performance groups. Further, a hierarchical linear model (HLM) was used to investigate how the relationship between personal level characteristics and state economic variables may be influenced by investigating this data by considering the levels of the agencies. Results of this study revealed that agency-level factors and state economic variables are important predictors of the employment rate. The final model of the HLM found that state economic variables and agency-level factors moderate the relationship between personal characteristics and the employment rate. Further, all agency-level factors and state economic variables except poverty resulted in a significant relationship regarding the employment rate. In this final model, none of the personal characteristics were significant. The results of the multiple regressions revealed different relationships exist among personal characteristics, agency-level factors, and state economic variables and employment rate given the performance group.

This paper examines in a descriptive manner how two groups of variables, institutional and socio-economic, correlate with voter turnout respectively and if their magnitude have changed over time in OECD countries. Previous research is often based on data from the 70’s and 80’s. Since then, voter turnout in democratic countries has decreased and more citizens do not use their fundamental democratic right of being involved in the process of choosing their representatives. To answer the paper hypotheses i.e. analyzing what factors that correlates with voter turnout, panel data between 1980 and 2012 are used which is estimated by an OLS approach. The outcome of the empirical estimations indicates that 13 out of 19 variables have a significant relationship with turnout. Most of the variables magnitudes are a bit lower than previous literature. From the time sensitivity analysis the result indicates that voters are less influenced by the significant variables that focus on the voting cost. It seems that voters in the 21st century meet voting costs in different manner than previously.

Cholera made an unforeseen appearance on the eastern coast of South Africa in the province of KwaZulu-Natal (KZN) in August 2000. Having started from the more urban centres of the coastal region of the province, cholera proceeded unabated to the interior of the province where no community was spared from the scourge. Despite prompt medical intervention, health education and media awareness campaigns, cholera continued to spread throughout KZN. By March 2004, the official statistics of cholera cases in KZN as per the Cholera Database records, stood at 158 895 cases (Dept-KZN Health, 2000). The death toll as reported in the Cholera Database was 575 persons that translated to a percentage case fatality rate of 0.36%; the lowest when compared to the previous epidemics recorded in South African (Kustner et al., 1981; Küstner and du Plessis, G. 1991). An interesting feature of the epidemic was that 99% of the cases recorded by the central and provincial Departments of Health during the height of the epidemic were all from KZN. The question then was, what factors played a role in the cholera epidemic of KZN? This study sought to understand the outbreak and the factors that possibly contributed to the spread of the 2000-2004 cholera epidemic in KZN. The drivers of disease associated with the communities affected by cholera were also explored by analysing the complex and dynamic interaction of their biological, socio economic, and environmental nature over time and space. The nature of the study was such that it called for a multi faceted design to involve not just understanding the societal aspect of the disease but its demographic, ecological and spatial characteristics as well. Thus GIS was used as a research tool to facilitate the comparison of the disease trends and risk factors on a spatial level in order to determine the possible role(s) played by the different environmental and socio-economic drivers. The objective of the study was to investigate the possible role of the natural environment i.e. temperature, rainfall and humidity as the primary factors that influence cholera outbreaks in KZN; on the basis of its uniqueness in climatic conditions as compared to other areas of the Republic of South Africa (RSA). The other socio-economical and demographic factors were considered as factors that enhance the spread of the disease. As such, the exploration of the Cholera Database by use of spreadsheet, statistical correlations and spatial mapping using GIS technology mutually investigated the relationships between the different variables that came up as important factors in the spread of cholera. Results indicated that 52% of the total cholera cases in KZN were reported from DC28 (Uthungulu), making it the focal point of the epidemic. In general, all the age groups were represented in the cholera database though the age groups 15-19 years and 0-4 years featured more prominently in the overall epidemic picture. On average the male to female case ratio was 1:1.5 respectively. The major cholera peak was experienced in 2001 and a minor peak in 2002. Both the peaks appeared during the summer months, which are also characterised by heavy rains. The issues that were statistically proven to be associated with the spread of the disease were related to issues highlighting the inefficiencies in the provision of water and sanitation, which go hand in hand with poverty. Thus poverty was indirectly reflected in the data as an issue that compounded the cholera epidemic. There was no statistical correlation between the incidence of cholera and the climatic variables of rainfall, humidity and temperature. Notwithstanding, there was an overall seasonality revealed by the data, as seen with the cases peaking and waning between the summers and the winters respectively. Furthermore, GIS mapping revealed a concurrence between the incidence of cholera and the climatic variables of rainfall, humidity and maximum temperature. At the spatial level, the characteristics of the epidemic as revealed by the GIS maps and spatial modelling highlighted possible relationships between the incidence of cholera and the various socio-economic and climatic variables (Chapter 6: 6.2.3; 6.2.3). The spatial disease picture displayed a link between climatic seasons and the incidence of cholera. Spatial modelling offered more insight that the statistically supported climatic and socio-economic aspects were indeed important factors in guiding cholera outbreak predictions in the future. The cholera model illustrated this as it selected for areas considered to be at high risk for cholera (Map 34). The results give an altogether holistic portrayal of the cholera epidemic from all perspectives and also supported to the hypothesis that cholera is a function of social and environmental factors. The results from this study further confirm the negative health effects of inadequacies in basic services delivery. The study made use of data resources to understand the relationships between the incidence of cholera and the different demographic, socio-economic and climatic variables implicated in the spread of cholera epidemics (Chapter 3: 3.3.3). It also emphasizes the importance of using reliable data as a management tool to model various scenarios in order to obtain information that could be used in the prediction and management of diseases like cholera at the community level in the future. / Thesis (PhD (Water Resource Management))--University of Pretoria, 2006. / Microbiology and Plant Pathology / unrestricted

Den svenska kontorsmarknaden har under senare år drivits mot rekordhöga hyror och lågadirektavkastningskrav. Drivkraften i utvecklingen har varit gynnsamma makroekonomiskaförhållanden med bland annat negativ reporänta. Denna studie syftar till att undersöka ivilken grad utvecklingen av direktavkastningskrav i tre svenska storstäder, Stockholm,Göteborg och Malmö kan förklaras av makroekonomiska förändringar. Intressant är även hurde olika städerna förhåller sig till varandra och utvecklingen i ekonomin. Frågeställningensätts i ett mer generellt sammanhang, där marknads- och fastighetspecifika faktorerutelämnas.Med stöd av empiriska studier och ekonomiska teorier, som bland annat 4Q-modellen,angrips frågeställningen genom ett urval av makrovariabler, bearbetning av data ochgrundläggande statistiska beräkningar. Dem utvalda makrovariabler är: KPI, Reporänta,Statsobligationer 10 år, BNP, Arbetslöshet och OMXS30. Korrelationsberäkningar och linjäraregressionsmodeller är centrala verktyg i det kvantitativa arbetet. De statistiskaberäkningarna utförs både med och utan tidsförskjutningar på direktavkastningskravet motmakrovariabler. På så vis beaktas fastighetsmarknadens tröghet och cykliska natur.Resultatet, som ligger i linje med tidigare studier, visar att valda makroekonomiska variableroftast inte är tillräckliga för att förklara rörelsen i direktavkastningskravet. Inte heller påvisasnågon påtaglig skillnad städerna emellan. Resultatet vittnar om värdet av mängd data ochurvalet av oberoende variabler vid en regressionsanalys. Däremot påvisas ett tydligtsamband mellan utvecklingen av direktavkastningskravet och de utvalda makrovariablerna. / The Swedish office market has over the last couple of years developed into a state of recordbraking prime rents at an all-time high and cap rates at an all-time low. The force ofdevelopment has been the favorable macro-economic conditions. This study aims toexamine to what extent the development of cap rates of offices in Sweden’s three largestcities, Stockholm, Gothenburg and Malmo can be explained by macro-economic changes. Apoint of interest is how these cities relate to each other and the economy. The issue is put ina generical state where factors specific to the markets get left out.With the support of empirical studies and economic theories, such as the 4Q model, theissue is worked by a selection of macro variables by processing of data and basic statisticalcalculations. The selected macro variables are: CPI, Repo rate, Government bonds 10years, GDP, Unemployment and OMXS30. Correlation calculations and linear regressionmodels are central tools in the quantitative work. The statistical calculations are performedboth with and without time lags on the cap rates for macro variables. In this way, the inertiaand cyclical nature of the property market are considered.The result, which is in line with previous studies, shows that the movement of cap rates overtime often can’t be explained only by macro-economic variables. Furthermore, it shows thatthere is no palpable difference between the cities when it comes to development of caprates. The result shows the importance of the multitude of data and the selection of variableswhen performing a regression analysis. With this said the study does demonstrate aconnection between the development of cap rates and the chosen macro variables.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2015-10-27T13:06:48Z No. of bitstreams: 1 FABIANO JARDIM ARAUJO_.pdf: 8810927 bytes, checksum: 55cb7ba05a09aaab81489c2c0dec62f9 (MD5) / Made available in DSpace on 2015-10-27T13:06:48Z (GMT). No. of bitstreams: 1 FABIANO JARDIM ARAUJO_.pdf: 8810927 bytes, checksum: 55cb7ba05a09aaab81489c2c0dec62f9 (MD5) Previous issue date: 2013-07-30 / UNISINOS - Universidade do Vale do Rio dos Sinos / Hospital Mãe de Deus / O presente trabalho é um estudo de caso que propôs um modelo para avaliar o desempenho de um hospital privado de grande porte da região sul do Brasil, considerando a relação entre as variáveis econômicas e assistenciais. A partir da revisão bibliográfica nacional e internacional do conceito utilizado para desempenho hospitalar e, as variáveis que compõem as dimensões econômicas e assistenciais deste modelo de organização, estruturou-se uma pesquisa qualitativa aplicada a um grupo de especialistas de cinco grandes hospitais da região sul do Brasil, caracterizados pelo mesmo perfil de atendimento, porte e complexidade. Inicialmente, estabeleceu-se um consenso a respeito da definição do conceito de desempenho hospitalar, segundo, validou-se a relação de variáveis mencionadas na literatura para avaliar o desempenho destas dimensões, terceiro, definiu-se um peso para cada variável de acordo com a média estabelecida pela soma das entrevistas realizadas junto às instituições hospitalares, representadas pelos seus especialistas. A partir dessas definições, elaborou-se um modelo que viabilizasse o entendimento entre a relação dessas variáveis na composição dos seus desempenhos. Por fim, aplicou-se a unidade de tratamento intensivo de uma das organizações. O uso do modelo contemplou o período de 12 meses, o que possibilitou identificar neste trabalho quais as variáveis econômicas e assistências apresentaram maior impacto no desempenho gerado neste período, assim como, uma visão sistêmica dos resultados para auxiliar no gerenciamento e na tomada de decisão. / This paper is a case study that proposed a model to evaluate the performance of a large private hospital in southern Brazil, considering the relationship between economic variables and welfare. From the national and international literature review of the concept used for hospital performance, and the variables that make up the dimensions and economic welfare of this organization model, structured qualitative research was applied to a group of experts from five major hospitals in the region with representation southern Brazil, characterized by the same service profile, size and complexity. Initially, it was established a consensus on the definition of hospital performance, second validated the relationship of variables mentioned in the literature to evaluate the performance of these dimensions, third, set up a weight for each variable according to average established by the sum of the interviews held with the hospitals, represented by their experts. From these definitions, we elaborated a model that enables creation of understanding the relationship between these variables in the composition of their performances. Finally, we applied the intensive care unit of a organizations. The use of the model included the 12-month period, which allowed this work to identify which economic variables and assists greater impact on performance generated during this period, as well as a systemic view of the results to assist management and decision making.

Among the ever-growing studies on globalization and economic development, research studies focused on specific women's issues are few and far between. An increasing concentration of immigrant women in the ethnic markets across the United States has raised interest into the motivation and rationality behind these women in choosing this entrepreneurial niche as a main venue to enter the labor market in the North American economy. The implications of this phenomenon, both for the women involved and for the local economy, need to be ascertained and analyzed. This dissertation is a case study that uses the ethnographic method and several ethnographic techniques, such as archival research, focus groups, participant observation, and in-depth interviews, as means of exploring this research problem. The main goal of this study is to investigate the socio-economic relationship between immigrant women from Latin America and the Caribbean and The Redland Harvest Market Village in South Dade County, Florida. It seeks to understand why these immigrant women choose this ethnic market as a venue to enter the local labor market. This study examines the impact upon these women's livelihoods caused by their participation in the ethnic market as well as the ethnic market itself as a modifier of both immigrant women's relations of class, ethnicity and gender; and of the local economy framed within the Cuban economic enclave. This case study is guided by the following research questions. Do immigrant women improve their socio-economic status via incorporation into the ethnic market? Do immigrant women increase their sense of "empowerment" and "well-being" via incorporation into the ethnic market? Employing primary data, including 36 in-depth interviews of immigrant women working in The Redland Harvest Market Village in South Dade County, Florida, this case study identifies a variety of socio-economic elements that allowed for the separation of the findings into two conclusion sets: analytical and theoretical. Within the analytical conclusions, this case study points out several socio-economic variables. Immigrant women's livelihood is identified as the unit of analysis and its components are the main independent variables. Income is identified as the main dependent variable to modify the independent variables. At The Redland Harvest Market Village, immigrant women participate under certain conditions that limit their production value. Only Cash transactions and the low market value of the commodities offered in this ethnic market, yield a very limited income that constrains these women to a marginal and alternative subdivision of the informal sector within the local economy. However, this participation allows them to acquire some retailing skills useful in future entrepreneur ventures. In their private sphere, these women experience a perceivable gain in decision-making power within their family structure, despite obtaining limited financial independence. Within the theoretical conclusions, this study reveals similar levels of variation consistent with previous studies of female immigrants groups in the U.S. These women's socio-economic livelihood categories of ethnicity, class, educational level, labor skills and family structure hold patterns of similitude with women involved in zones of mass production in Southeast Asia and those working in the Maquiladora model of mass production on the U.S. Mexican border. The benefits obtained by these women from their participation in The Redland Harvest Market Village can be measured in terms of their gains in the degree of financial independence, decision-making, spatial mobility, and voice. The process of empowerment is completed through the creation of agency in these women livelihoods; an inventory of their capabilities or potentialities to live their life; and the actual funtionings or achievements of their capabilities. The sense of well-being and empowerment achieved through the introduction of a socio-economic modifier, such as earned income, is noticeable in the change in these women's disposition toward their role as individuals, wives, and mothers living within the community.

<p>This study assesses the present level of household water access and the willingness to pay in South Africa. Although the general literature informs that progress has been made in positing South Africa above the levels found in most African countries, there are some marked inequalities among the population groups and across the provinces, with some performing well and others poorly in this regard. The study looks at the extent to which households differ in terms of water access and willingness to pay according to the province of residence. The study focuses on household heads / male and female, through different social and demographic attributes, by taking account of variables such as age, education&nbsp / attainment, geographic areas, and population group to name but a few. The data used in this study comes from the 2007 General Household Survey (GHS) conducted by Statistics South Africa. The scope is national and employs cross tabulation and logistic regression to establish relationships and the likelihood of living in a household with access to safe&nbsp / drinking water in South Africa. Results presented in this study suggest that the difference is determined by socio- demographic characteristics of each household such as age, gender, population group, level of education, employment status income, dwelling unit, dwelling ownership, living quarters,household size and income. It throws more light as to what needs to be taken into account when considering demand and supply of and priorities for water intervention from the household perspective.</p>

<p>This study assesses the present level of household water access and the willingness to pay in South Africa. Although the general literature informs that progress has been made in positing South Africa above the levels found in most African countries, there are some marked inequalities among the population groups and across the provinces, with some performing well and others poorly in this regard. The study looks at the extent to which households differ in terms of water access and willingness to pay according to the province of residence. The study focuses on household heads / male and female, through different social and demographic attributes, by taking account of variables such as age, education&nbsp / attainment, geographic areas, and population group to name but a few. The data used in this study comes from the 2007 General Household Survey (GHS) conducted by Statistics South Africa. The scope is national and employs cross tabulation and logistic regression to establish relationships and the likelihood of living in a household with access to safe&nbsp / drinking water in South Africa. Results presented in this study suggest that the difference is determined by socio- demographic characteristics of each household such as age, gender, population group, level of education, employment status income, dwelling unit, dwelling ownership, living quarters,household size and income. It throws more light as to what needs to be taken into account when considering demand and supply of and priorities for water intervention from the household perspective.</p>

The purpose of this paper is to examine the cross-country relationship between income inequality and selected socioeconomic variables reflecting the level of economic development. The first chapter introduces some theoretical approaches to income distribution and poses problems regarding income inequalities across countries. The second chapter surveys cross-country studies of income inequalities conducted by previous researchers. The third chapter covers statistical methodology. Chapter four analyzes statistical results of multiple regression. The final chapter is intended for summary, conclusion, and recommendations.

Magister Philosophiae - MPhil / This study assesses the present level of household water access and the willingness to pay in South Africa. Although the general literature informs that progress has been made in positing South Africa above the levels found in most African countries, there are some marked inequalities among the population groups and across the provinces, with some performing well and others poorly in this regard. The study looks at the extent to which households differ in terms of water access and willingness to pay according to the province of residence. The study focuses on household heads; male and female, through different social and demographic attributes, by taking account of variables such as age, education attainment, geographic areas, and population group to name but a few. The data used in this study comes from the 2007 General Household Survey (GHS) conducted by Statistics South Africa. The scope is national and employs cross tabulation and logistic regression to establish relationships and the likelihood of living in a household with access to safe drinking water in South Africa. Results presented in this study suggest that the difference is determined by socio- demographic characteristics of each household such as age, gender, population group, level of education, employment status income, dwelling unit, dwelling ownership, living quarters, household size and income. It throws more light as to what needs to be taken into account when considering demand and supply of and priorities for water intervention from the household perspective. / South Africa