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The Small Area Income and Poverty Estimates (SAIPE) program at the U.S. Census Bureau estimates county poverty as a function of administrative records and the previous decennial census. Recent developments in SAIPE experimental models (Fisher, 2003) derive a measure of “true” poverty as a function of several independent measures of poverty, all of which are assumed to possess non-negligible variances; i.e., an “errors-in-variables” model. Examination of this work revealed a considerable amount of variability in the variance of participation in the Food and Nutrition Service (FNS) Food Stamp Program (FSP) across counties given poverty. In conjunction with other research, our research suggests that we could obtain more information on poverty from FSP participation by modeling its across-county variation.
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