This paper describes the quality of the statistical matching between the March 2011 supplement to the Current Population Survey and the 2010 American Time Use Survey and Survey of Consumer Finances, which are used as the basis for the 2010 LIMEW estimates for the United States. In the first part of the paper, the alignment of the datasets is examined. In the second, various aspects of the match quality are described. The results indicate that the matches are of high quality, with some indication of bias in specific cases.
The official poverty measure is based on the premise that all families should have sufficient income from either their own efforts or government support to boost them above a family-size-specific threshold. Given the current policy emphasis on self-reliance and a smaller role for government, this measure appears to have less policy relevance now than in prior years. We present here a new concept of poverty based on self-reliance—that is, the ability of a family, using its own resources, to support a level of consumption in excess of needs. Using a measure of net earnings capacity (NEC) to examine the size and composition of the self-reliant-poor population from 1975 to 1995, we find that self-reliance poverty has increased more rapidly than has official poverty. We find that families commonly thought to be the most impoverished—those headed by minorities, single women with children, and individuals with low levels of education—have the highest levels of self-reliance poverty, but have experienced the smallest increases in this poverty measure. Families commonly thought to be economically secure—those headed by whites, men, married couples, and highly educated individuals—have the lowest levels of self-reliance poverty, but have experienced the largest increases. We speculate that the trends in self-reliance poverty stem largely from underlying trends in the United States economy, in particular the relative decline of wage rates for whites and men and the rapidly expanding college-educated demographic group.
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This paper describes the quality of the statistical match between the Current Population Survey (CPS) March 2011 supplement and the Consumer Expenditure Survey (CEX) 2011, which are used for the integrated inequality assessment model for the United States. In the first part of this paper, the alignment of the datasets is examined. In the second, various aspects of the match quality are described. The results show appropriate balance across different characteristics, with some imbalances within narrow characteristics.