Identifying Student Success at a Land Grant Institution

Many higher education institutions use admission criteria to match students with the educational requirements of the institution, thereby increasing the level of success of their students and allocating limited enrollment space in some cases. This study uses two different approaches to identify the affect students’ background characteristics have on first year cumulative GPA, and whether differences exist in the impact of high school grades on success in their first year in college between high schools in the state of Washington. Results show that students’ particular high schools systematically perform better or worse than the model predicts, holding the other characteristics of the students constant including their high school GPA. This suggests the same GPA from different schools is indicating different levels of preparedness, either reflecting different curriculum available or taken by a student, or grade inflations differences across schools.Higher education, inflation, student success, Teaching/Communication/Extension/Profession, I23,

CONSUMER POTATO DEMAND

Changes in consumer demographics, socioeconomic conditions, lifestyles, food tastes, and health and nutrition concerns have been associated with shifting food purchase patterns. This article focuses on potato purchase decisions and consumption, using a sample of Washington households. The results suggest that potato purchases are affected by factors such as product quality and price but not availability of point-of-purchase information. Reported changes in fresh and processed potato consumption appeared to be related to concerns with health and nutrition and demand for convenience. These findings have implications for the potato industry in developing new products and marketing strategies.Demand and Price Analysis,

METHODOLOGY FOR TREND ANALYSIS AND PROJECTION OF PRODUCTION, MARKET SHARES, AND CONSUMPTION

Food Consumption/Nutrition/Food Safety,

STRATEGIES FOR U.S. APPLE EXPORTING FIRMS

International Relations/Trade,

DEVELOPMENT OF A SCHEME TO EVALUATE CONSUMER APPLE VARIETY PREFERENCES

Consumer/Household Economics,

AN ECONOMETRIC ANALYSIS OF THE AWAY-FROM-HOME FOOD MARKET

In recent years significant changes have been occurring in the socio-demographic and economic structure of the U.S. population. These changes havebeen accompanied by alterations in Americans food eating patterns--including not only what they eat, but also when, where, and with whom this food is eaten. These shifting food consumption patterns re likely to have impacts on the entire food marketing system. The general objective of this study was to identify how changes in selected socio-demographic and economic factors affect food consumption as reflected throug the changes in expenditures for food away-from-home (FAFH). An econometric model depicting how household FAFH expenditure patterns vary with such characteristics as household size and composition, education, race, labor force commitment, region as well as income and value of time was developed, which entailed the use of detailed cross-sectional consumer survey data. Tobit analysis, which accounts for both consuming and nonconsuming households, was found to be a superior estimation procedure to ordinary least squares regression. Several hypotheses concerning thetratment of missng and/or incomplete observations were tested. In additio, more specific informatin about the likelihood of consuming particular types of foods away-from-home was obtained through probit anaysis. Household income, value of time, and the environment in which household consumption occurred were important determinants of FAFH oxpenditures in all FAFH models estimated. The relative importance of these factors varied across dependent variables (including total expenditures, expenditures at restaurants or fast food facilities). Household size and composition were also important factors in estimating FAFH expenditures. The decomposition of the Tobit estimates indicated that market participation differed according to household size, income, value of time, and by source of expenditure. Finally, total expenditures per household on FAFH in 1990 are projected to be below the 1977 level, due mainly to declining household size. The direction of the predictions varied by source of expenditure. Aggregate U.S. expenditures for FAFH, however, are predicted to increase (for all sources) due to the predicted larger number of households

MEASUREMENT OF HOUSEHOLD TIME VALUE. AND ITS IMPACT ON THE DEMAND FOR BEEF AWAY-FROM-HOME

Demand equations derived from household production theory stress the importance of time in household decisions.· Value of time was quantified using a method that corrects for selection bias. This study concludes that household time value, income, size and composition, and other environmental variables significantly influence beef consumption away-from-home

Wheat Yield Response: On-farm Management versus Breeder Contributions

Data from the WSU wheat variety test program along with spatially interpolated historic weather records present a unique opportunity to compare wheat variety performance across time and Washington State geography. A key assumption in this analysis takes wheat variety to be genetically constant year-over-year. This assumption allows us to separate breeding versus farm-level productivity gains. Furthermore, across the wide variety of climate regions within Washington State, productivity gains can be measured for different climate regions, allowing a unique contribution to the body of literature attempting to differentiate the various technology contributions to farm productivity. Analysis of breeder contributions to wheat productivity gains are then applied to state-wide USDA productivity data and determine the economic benefit provided by the wheat variety improvements to average $1.8M per year (2010 dollars)

Identifying Student Success at a Land Grant Institution

Many higher education institutions use admission criteria to match students with the educational requirements of the institution, thereby increasing the level of success of their students and allocating limited enrollment space in some cases. This study uses two different approaches to identify the affect students’ background characteristics have on first year cumulative GPA, and whether differences exist in the impact of high school grades on success in their first year in college between high schools in the state of Washington. Results show that students’ particular high schools systematically perform better or worse than the model predicts, holding the other characteristics of the students constant including their high school GPA. This suggests the same GPA from different schools is indicating different levels of preparedness, either reflecting different curriculum available or taken by a student, or grade inflations differences across schools