The compact support property for the Λ\Lambda-Fleming-Viot process with underlying Brownian motion

Using the lookdown construction of Donnelly and Kurtz we prove that, at any fixed positive time, the $\Lambda$-Fleming-Viot process with underlying Brownian motion has a compact support provided that the corresponding $\Lambda$-coalescent comes down from infinity not too slowly. We also find both upper bound and lower bound on the Hausdorff dimension for the support.Comment: 21 page

The Supplemental Nutrition Assistance Program and Nutrient Intakes

The socioeconomic determinants of Food Stamp Program participation and the effects of program participation on nutrient intakes are investigated, using data from the 2003–04 and 2005–06 National Health and Nutrition Examination Survey (NHANES). An endogenous switching regression system of equations is estimated, which includes protein, vitamin A, vitamin C, calcium and iron. Participation in the FSP is found to play an important role in nutrient intakes. Socio-demographic variables such as income, household size and presence of children are also found to affect individuals’ decisions on program participation and nutrient intakes.Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

Effects of Supplemental Nutrition Assistance Program on Nutrient Intakes

The socioeconomic determinants of participant in the Supplemental Nutrition Assistance Program (SNAP) and effects of the program on nutrient intakes are investigated. The dependent variable is transformed by logarithm which facilitates estimation of the model. Marginal effects of explanatory variables are calculated which make interpretation of the effects of explanatory variables easier. The result suggests SNAP plays a significant role in nutrient intakes. The effects of participation in SNAP are negative on vitamin C and positive on all other nutrients (protein, vitamin A, vitamin C, calcium, and iron), for males, females, and both genders combined. Income, household size, presence of children, and other socio-demographic variables all affect individuals’ decisions on program participation and nutrient intakes. Results suggest the effects of socio-demographic variables are very different, in signs and magnitudes, between the participants and non-participants. These differentiated effects of socio-demographic variables are likely to be masked by the use of a more conventional model (such as the single or multiple equation treatment effect models) and highlight the importance of using the Switching System Regression