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The SSRC Library allows visitors to access materials related to self-sufficiency programs, practice and research. Visitors can view common search terms, conduct a keyword search or create a custom search using any combination of the filters at the left side of this page. To conduct a keyword search, type a term or combination of terms into the search box below, select whether you want to search the exact phrase or the words in any order, and click on the blue button to the right of the search box to view relevant results.

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  • Individual Author: Wells, Kirstin; Thill, Jean-Claude
    Reference Type: Journal Article
    Year: 2012

    Intrajurisdictional delivery of publicly provided services often results in observable service level differences that vary by spatial subunit (neighborhood). These variations are related to the sociodemographic characteristics of neighborhoods and have been hypothesized in prior literature to be the result of bias against or favoritism toward certain neighborhoods. Using path regression, this paper examines publicly provided bus service in four cities-Asheville, North Carolina; Charlotte, North Carolina; Mobile, Alabama; and Richmond, Virginia-to examine whether the socioeconomic character of a neighborhood is related to the share of municipal bus service it receives. With this analysis, we test an expanded version of Lineberry's underclass hypothesis. Specifically, do transit-dependent neighborhoods, or those with a high percentage of non-Caucasian, low-income, elderly, or student residents receive inferior bus service? Findings confirm prior research that both standard rules and bias are present in service delivery decisions. (author abstract)

    Intrajurisdictional delivery of publicly provided services often results in observable service level differences that vary by spatial subunit (neighborhood). These variations are related to the sociodemographic characteristics of neighborhoods and have been hypothesized in prior literature to be the result of bias against or favoritism toward certain neighborhoods. Using path regression, this paper examines publicly provided bus service in four cities-Asheville, North Carolina; Charlotte, North Carolina; Mobile, Alabama; and Richmond, Virginia-to examine whether the socioeconomic character of a neighborhood is related to the share of municipal bus service it receives. With this analysis, we test an expanded version of Lineberry's underclass hypothesis. Specifically, do transit-dependent neighborhoods, or those with a high percentage of non-Caucasian, low-income, elderly, or student residents receive inferior bus service? Findings confirm prior research that both standard rules and bias are present in service delivery decisions. (author abstract)

  • Individual Author: Davis, Scott; Michaelides, Marios; Poe-Yamagata, Eileen; Davis, Andrew
    Reference Type: Report
    Year: 2013

    In June 2008, the U.S. Department of Labor (DOL) awarded Growing America Through Entrepreneurship (GATE II) grants to four states: Alabama, Minnesota, North Carolina, and Virginia. Alabama and North Carolina used the grants to provide self-employment training to dislocated workers in rural areas, while Minnesota and Virginia targeted older dislocated workers. This report presents the results of the evaluation of the GATE II program as implemented in the four grantee states. The evaluation objective was to address two key research questions: 

    • Was GATE II effective in improving the labor market outcomes of older dislocated workers and of rural dislocated workers?
    • Is providing self-employment training to older dislocated workers and rural dislocated workers interested in self-employment a viable policy tool for promoting their reemployment?

    The evaluation consisted of a random assignment impact study, to examine the impact of GATE II on participants' labor-market outcomes (e.g., self-employment, overall employment, self-employment earnings, and...

    In June 2008, the U.S. Department of Labor (DOL) awarded Growing America Through Entrepreneurship (GATE II) grants to four states: Alabama, Minnesota, North Carolina, and Virginia. Alabama and North Carolina used the grants to provide self-employment training to dislocated workers in rural areas, while Minnesota and Virginia targeted older dislocated workers. This report presents the results of the evaluation of the GATE II program as implemented in the four grantee states. The evaluation objective was to address two key research questions: 

    • Was GATE II effective in improving the labor market outcomes of older dislocated workers and of rural dislocated workers?
    • Is providing self-employment training to older dislocated workers and rural dislocated workers interested in self-employment a viable policy tool for promoting their reemployment?

    The evaluation consisted of a random assignment impact study, to examine the impact of GATE II on participants' labor-market outcomes (e.g., self-employment, overall employment, self-employment earnings, and total earnings).

    While all four states planned to implement a random assignment design, only North Carolina and Virginia were able to do so. As a result, the impact evaluation results presented in this report include only the North Carolina and Virginia GATE II demonstrations. Findings derived from the implementation analysis covers all four states. The study analyzed participant data at program entry, post-program follow up, and administrative data to examine the answers to these questions stated above. The impact study of GATE II in North Carolina showed that the program was effective in assisting rural dislocated workers to start their own business following program entry, and be self-employed nearly three years after program entry. The impact study of the Virginia GATE II program, designed to help older dislocated workers, showed the program was effective in helping participants to start their own business after program entry, however there were no statistically significant impacts on self-employment or on employment overall. Additional analyses showed that the North Carolina GATE II program was more effective for younger workers (those less than 45 years old) and for workers with no prior self-employment experience. (Author abstract)

  • Individual Author: Short, Vanessa L.; Oza-Frank, Reena; Conrey, Elizabeth J.
    Reference Type: Journal Article
    Year: 2012

    To compare preconception health indicators (PCHIs) among non-pregnant women aged 18–44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997–2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting <high school education (adjusted odds ratio (AOR) 1.19, 95 % confidence interval (CI) 1.10–1.29), fair/poor health (AOR 1.14, 95 % CI 1.06–1.22), no health insurance (AOR 1.12, 95 % CI 1.05–1.19), no annual checkup (AOR 1.12, 95 % CI 1.04–1.20), no recent Pap...

    To compare preconception health indicators (PCHIs) among non-pregnant women aged 18–44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997–2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting <high school education (adjusted odds ratio (AOR) 1.19, 95 % confidence interval (CI) 1.10–1.29), fair/poor health (AOR 1.14, 95 % CI 1.06–1.22), no health insurance (AOR 1.12, 95 % CI 1.05–1.19), no annual checkup (AOR 1.12, 95 % CI 1.04–1.20), no recent Pap test (AOR 1.20, 95 % CI 1.08–1.33), smoking (AOR 1.08, 95 % CI 1.03–1.14), <5 daily fruits/vegetables (AOR 1.11, 95 % CI 1.02–1.21), and overweight/obesity (AOR 1.05, 95 % CI 1.01–1.09). Appalachian women in counties with weaker economies had significantly higher odds of reporting less education, no health insurance, <5 daily fruits/vegetables, overweight/obesity, and poor mental health compared to Appalachian women in counties with the strongest economies. For many PCHIs, Appalachian women did not fare as well as non-Appalachians. Interventions sensitive to Appalachian culture to improve preconception health may be warranted for this population. (Author abstract)

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