أعرض تسجيلة المادة بشكل مبسط

dc.contributor Weber, Bruce A.
dc.contributor Weber, Bruce A.
dc.contributor Edwards, Mark
dc.contributor Cramer, Lori
dc.date 2007-07-26T13:23:33Z
dc.date 2007-07-26T13:23:33Z
dc.date 2007-07-26T13:23:33Z
dc.date.accessioned 2013-10-16T08:03:29Z
dc.date.available 2013-10-16T08:03:29Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/1957/6195
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1957/6195
dc.description Oregon’s high hunger and food insecurity rates have been a concern throughout the last decade. These high rates earned Oregon the dubious distinction as the most food insecure with hunger state in the late 1990’s. While Oregon’s ranking has improved in recent years, our understanding of why Oregon ranked so highly on such a distressing measurement is still being explored. Recent research has improved our understanding of food insecurity and hunger through the identification of some key socioeconomic conditions that correlate with increased likelihoods of household food insecurity (Tapogna, Suter, Nord, and Leachman, 2004). These socioeconomic conditions include: the rate of households that moved within a year, the state peak unemployment rates, the state poverty rates, the rate of renters spending over half of their income on rent, the state’s racial demographics, and the fraction of population under 18 years old. This paper utilizes this state level model to evaluate whether similar county-scaled socioeconomic conditions produce useful estimates of food insecurity and hunger. To accomplish such an objective, this analysis: 1) assesses the complexity in utilizing this state level model to predict county level food insecurity and hunger rates, 2) constructs county estimates derived from the socioeconomic model defined in Tapogna et al. (2004), and 3) assesses the county level estimates by comparing the results with available region-and-county level data relevant to food insecurity and hunger. This examination is the first step in providing policymakers and county administrators with a broad and useable predictive equation to estimate the severity of food insecurity and hunger at the county level within Oregon.
dc.language en_US
dc.subject Hunger Estimates
dc.subject County Level Food Insecurity
dc.subject Analysis of Hunger Factors
dc.subject Predictions of Hunger
dc.subject Food insecurity
dc.title Predicting county-level food insecurity and hunger in Oregon
dc.type Research Paper


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أعرض تسجيلة المادة بشكل مبسط