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	Provedor de dados AgEcon (4) Autor Jolliffe, Dean (3) Blisard, Noel (1) Gundersen, Craig (1) Newson, Roger (1) Stewart, Hayden (1) Tiehen, Laura (1) Winicki, Joshua (1) Mais... Palavra-chave Sample design (4) Current Population Survey (2) Food Security and Poverty (2) Poverty (2) Algebraic mean (1) Alpha (1) Arithmetic mean (1) Censored least absolute deviations (1) Children (1) Consumer/Household Economics (1) Consumption (1) Cost-of-living adjustments (1) Detectable difference (1) Detectable ratio (1) Fair Market Rents data (1) Food stamps (1) Fruits and vegetables (1) Generalized linear model (1) Geometric mean (1) Influence function (1) Mais... Tipo do documento Journal Article (2) Report (2) Ano 2006 (1) 2004 (1) 2003 (2) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households? AgEcon Stewart, Hayden; Blisard, Noel; Jolliffe, Dean. This study assesses whether income constraints inhibit spending on fruits and vegetables among low-income households. If this is the case, then it is hypothesized that the distribution of expenditures on fruits and vegetables by low-income households should be stochastically dominated by the distribution of expenditures on these same food items by other households. Moreover, it must be the case that low-income households would increase their spending on fruits and vegetables in response to an increase in their income. Using household data from the 2000 Consumer Expenditure Survey, a test of stochastic dominance is performed. Censored quantile regressions are also estimated at selected points of the conditional expenditure distribution. Low income... Tipo: Journal Article Palavras-chave: Censored least absolute deviations; Consumption; Fruits and vegetables; Low-income households; Nutrition; Sample design; Stochastic dominance; Consumer/Household Economics. Ano: 2003 URL: http://purl.umn.edu/31064 FOOD STAMP BENEFITS AND CHILD POVERTY IN THE 1990s AgEcon Jolliffe, Dean; Tiehen, Laura; Gundersen, Craig; Winicki, Joshua. In 2000, 8.8 million children received food stamps, making the Food Stamp Program a crucial component of the social safety net. Despite its importance, little research has examined the effect of food stamps on children's overall well-being. Using the Current Population Survey from 1989 to 2001, we consider the impact of food stamps on three measures of poverty - the headcount, the poverty gap, and the squared poverty gap. These measures portray the incidence, depth, and severity of poverty. We find that in comparison to the headcount measure, food stamp benefits lead to large reductions in the poverty gap and squared poverty gap measures. We then simulate the effects of several changes in the distribution of food stamps and find that a general... Tipo: Report Palavras-chave: Food stamps; Children; Poverty; Current Population Survey; Sample design; Food Security and Poverty. Ano: 2003 URL: http://purl.umn.edu/33833 Generalized power calculations for generalized linear models and more AgEcon Newson, Roger. The powercal command can compute any one of the five quantities involved in power calculations from the other four. These quantities are power, significance level, detectable difference, sample number, and the standard deviation (SD) of the influence function, which is equal to the standard error multiplied by the square root of the sample number. powercal can take arbitrary expressions (involving constants, scalars, or variables) as input and calculate the output as a new variable. The user can therefore plot input variables against output variables, and this often communicates the tradeoffs involved better than a point calculation as output by the sampsi command. General formulas are given for calculating the SD of the influence function when the... Tipo: Journal Article Palavras-chave: Powercal; Power; Alpha; Significance level; Detectable difference; Detectable ratio; Sample number; Standard deviation; Influence function; Sample design; Generalized linear model; Proportion; Arithmetic mean; Algebraic mean; Geometric mean; Odds; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116258 The Cost of Living and the Geographic Distribution of Poverty AgEcon Jolliffe, Dean. The prevalence of poverty has been greater in nonmetro areas than in metro areas in every year since the 1960s when poverty rates were first officially recorded. Accordingly, Federal funds for social assistance programs and community development have favored nonmetro areas. This study suggests that adjusting poverty measures to account for cost-of-living differences between metro and nonmetro areas reverses that ranking. Once adjusted for cost-of-living differences using the Fair Market Rents index, metro poverty is greater than nonmetro poverty in terms of prevalence, depth, and severity over the entire 1991-2002 study period. Tipo: Report Palavras-chave: Poverty; Cost-of-living adjustments; Fair Market Rents data; Urban-rural comparison; Sample design; Current Population Survey; Food Security and Poverty. Ano: 2006 URL: http://purl.umn.edu/7254 Registros recuperados: 4 Primeira ... 1 ... Última

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