THE FOOD STAMP BENEFIT FORMULA: IMPLICATIONS FOR EMPIRICAL RESEARCH ON FOOD DEMAND

To understand how food stamps affect food spending, nonexperimental research typically requires some source of independent variation in food stamp benefits. Three promising sources are examined: (a) variation in household size, (b) variation in deductions from gross income, and (c) receipt of minimum or maximum food stamp benefits. Based on results of a linear regression model with nationally representative data, 90% of the total variation in food stamp benefits is explained by gross cash income, and household size variables alone. This finding raises concern about popular regression approaches to studying the Food Stamp Program.Demand and Price Analysis,

Open ocean tide modelling

Two trends evident in global tidal modelling since the first GEOP conference in 1972 are described. The first centers on the incorporation of terms for ocean loading and gravitational self attraction into Laplace's tidal equations. The second centers on a better understanding of the problem of near resonant modelling and the need for realistic maps of tidal elevation for use by geodesists and geophysicists. Although new models still show significant differences, especially in the South Atlantic, there are significant similarities in many of the world's oceans. This allows suggestions to be made for future locations for bottom pressure gauge measurements. Where available, estimates of M2 tidal dissipation from the new models are significantly lower than estimates from previous models

UNDERSTANDING THE FOOD STAMP BENEFIT FORMULA: A TOOL FOR MEASURING THE COMPONENT EFFECTS

This report develops an accounting tool for measuring how the average benefit amount in the U.S. Food Stamp Program is affected by each major component of the rules that determine the benefit level. This tool is used to compare the benefits received by different subpopulations, distinguished by poverty level, demographic makeup, household size, and region of the country. This simple decomposition complements more complex tools, such as microsimulation methods, which help policy analysts understand and evaluate the effects of detailed Food Stamp Program regulations.Food Stamp Program, benefit formula, income, household size, poverty status, deductions, Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

THE DISTINCT IMPACT OF FOOD STAMPS ON FOOD SPENDING

The Southworth hypothesis predicts that inframarginal food stamp recipients should choose the same bundle of goods, whether they receive coupons or cash. Empirical research has contradicted this prediction. Here, we present a model that retains some attractive features of the Southworth hypothesis, while relaxing the key assumption that appears to be incorrect. In particular, we allow different forms of benefits to have distinct effects on desired, or unrestricted food spending. Two categories of previously commonly used empirical models are evaluated as special cases of our more general model. We estimate this model using data from two cash-out experiments.Consumer/Household Economics, Food Security and Poverty,

More Than Just Food: The Diverse Effects of Food Assistance Programs

Food Consumption/Nutrition/Food Safety, Food Security and Poverty, I18, I38, Q18,

THE EFFECT ON DIETARY QUALITY OF PARTICIPATION IN THE FOOD STAMP AND WIC PROGRAMS

Participants in the Food Stamp Program consume more meats, added sugars, and total fats than they would in the absence of the program, while their consumption of fruits, vegetables, grains, and dairy products stays about the same. Participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) consume significantly less added sugars, which may reflect the substitution of WIC-supplied juices and cereals in place of higher sugar soft drinks and cereals. These findings come from a study of low-income Americans using the Continuing Survey of Food Intake by Individuals.Nutrition assistance programs, food intake, dietary quality, Continuing Survey of Food Intake by Individuals (CSFII), Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

A New Correlation Between GRB X-Ray Flares And The Prompt Emission

From a sample of GRBs detected by the $Fermi$ and $Swift$ missions, we have extracted the minimum variability time scales for temporal structures in the light curves associated with the prompt emission and X-ray flares. A comparison of this variability time scale with pulse parameters such as rise times,determined via pulse-fitting procedures, and spectral lags, extracted via the cross-correlation function (CCF), indicate a tight correlation between these temporal features for both the X-ray flares and the prompt emission. These correlations suggests a common origin for the production of X-ray flares and the prompt emission in GRBs.Comment: 5 pages, 3 figures, Accepted for publication in ApJ

Market and Welfare Impacts of COOL on the U.S.-Mexican Tomato Trade

A two-country, comparative static partial equilibrium model is used to simulate the ex ante market and welfare outcomes of U.S. country-of-origin labeling for the U.S.-Mexico fresh tomato trade. In all scenarios where consumers show a relative preference for U.S. tomatoes, Mexican tomato exports decline and U.S. production increases. Mexican trade losses using low- to mid-range consumer preference assumptions are 14% to 32% of the value of Mexican tomato exports to the United States and 1% to 3% of the total value of agricultural produce exports, partially negating the market access gains of NAFTA. Consumer effects are small and sometimes negative. Producer impact is the big effect, with transfer from Mexican to U.S. tomato producers.country-of-origin labeling, food labeling, trade-related food regulations, welfare effects, Crop Production/Industries, International Relations/Trade,

X - Ray Flares and Their Connection With Prompt Emission in GRBs

We use a wavelet technique to investigate the time variations in the light curves from a sample of GRBs detected by Fermi and Swift. We focus primarily on the behavior of the flaring region of Swift-XRT light curves in order to explore connections between variability time scales and pulse parameters (such as rise and decay times, widths, strengths, and separation distributions) and spectral lags. Tight correlations between some of these temporal features suggest a common origin for the production of X-ray flares and the prompt emission.Comment: 7th Huntsville Gamma-Ray Burst Symposium, GRB 2013: paper 15 in eConf Proceedings C130414