How distorting are direct payments?

Agricultural and Food Policy,

Identifying and Reducing Overlap in Farm Program Support

The current debate surrounding the 2012 Farm Act stresses cutting costs while maintaining, or even strengthening, farmers’ “safety net.” One way to cut costs is to reduce or eliminate potential overlap of farm program payments. Using simulations, we explore the interaction between the Average Crop Revenue Election (ACRE) program and a revenue assurance (RA) crop insurance program for corn, soybean, and wheat farmers in IL, MN, and SD. Additionally, we examine whether receiving benefits from multiple programs (an RA program, the Supplemental Revenue (SURE) program, and an ad hoc disaster assistance program) distorts farmers’ business decisions. We find overlap between ACRE and crop insurance, which could lead to budgetary savings if these two programs were to be integrated. Moreover, despite policymakers explicitly incorporating insurance indemnities into SURE payment calculations, access to both programs can alter behavior. Finally, in a counter-factual analysis, we show that removing ad hoc payments from the SURE would likely alter farm behavior.commodity support, average crop revenue election, Supplemental Revenue Assistance, expected utility, corn, wheat, soybeans, Agricultural and Food Policy, Production Economics, Risk and Uncertainty,

CAMMD: Context Aware Mobile Medical Devices

Telemedicine applications on a medical practitioners mobile device should be context-aware. This can vastly improve the effectiveness of mobile applications and is a step towards realising the vision of a ubiquitous telemedicine environment. The nomadic nature of a medical practitioner emphasises location, activity and time as key context-aware elements. An intelligent middleware is needed to effectively interpret and exploit these contextual elements. This paper proposes an agent-based architectural solution called Context-Aware Mobile Medical Devices (CAMMD). This framework can proactively communicate patient records to a portable device based upon the active context of its medical practitioner. An expert system is utilised to cross-reference the context-aware data of location and time against a practitioners work schedule. This proactive distribution of medical data enhances the usability and portability of mobile medical devices. The proposed methodology alleviates constraints on memory storage and enhances user interaction with the handheld device. The framework also improves utilisation of network bandwidth resources. An experimental prototype is presented highlighting the potential of this approach

Does risk matter for farm businesses? The effect of crop insurance on production and diversification.

We use a large increase in Federal crop insurance subsidies as a natural experiment to identify the impact of risk on acreage and diversification decisions. Subsidy increases induced greater crop insurance coverage, which reduced farmers' financial risks. Did this change in the risk environment alter production decisions? We merged crop insurance participation data with farm-level Agricultural Census data from 1992 and 1997 to examine how harvested acreage and diversification changed in response to the policy-induced change in insurance coverage. The difference in differences empirical approach controls for unobservable heterogeneity and our results are robust across multiple definitions of our key variables and various fixed effects. We find that changes in the risk environment caused larger farms to expand while smaller farms shrank. Regardless of size, producers showed some evidence of using diversification as a method to mitigate risk. However, risk does not seem to have large overall effects.Risk and Uncertainty,

Interrogating cellular perception and decision making with optogenetic tools.

Optogenetics promises to deepen our understanding of how cells perceive and respond to complex and dynamic signals and how this perception regulates normal and abnormal function. In this study, we present our vision for how these nascent tools may transform our view of fundamental cell biological processes

THE IMPORTANCE OF INCOME RISK IN LABOR ALLOCATION DECISIONS

Previous research has found that on-farm income variability helps determine off-farm labor supply. However, unobserved heterogeneity of farms or regions may have biased earlier results. In this study, we use an exogenous increase in Federal crop insurance subsidies as a natural experiment to identify the importance of risk in off-farm labor supply. The subsidy increases induced greater participation in crop insurance programs and thereby reduced farmers' financial risks. By merging county-level crop insurance participation data with farm-level Agricultural Census data from 1992 and 1997 we can compare the off-farm labor decisions of individual farms before and after the subsidy and thereby control for unobserved heterogeneity. Unlike previous studies, we find that on-farm risk does not affect the labor allocation decisions of farm households.Labor and Human Capital,

A conceptual analytics model for an outcome-driven quality management framework as part of professional healthcare education

BACKGROUND: Preparing the future health care professional workforce in a changing world is a significant undertaking. Educators and other decision makers look to evidence-based knowledge to improve quality of education. Analytics, the use of data to generate insights and support decisions, have been applied successfully across numerous application domains. Health care professional education is one area where great potential is yet to be realized. Previous research of Academic and Learning analytics has mainly focused on technical issues. The focus of this study relates to its practical implementation in the setting of health care education. OBJECTIVE: The aim of this study is to create a conceptual model for a deeper understanding of the synthesizing process, and transforming data into information to support educators’ decision making. METHODS: A deductive case study approach was applied to develop the conceptual model. RESULTS: The analytics loop works both in theory and in practice. The conceptual model encompasses the underlying data, the quality indicators, and decision support for educators. CONCLUSIONS: The model illustrates how a theory can be applied to a traditional data-driven analytics approach, and alongside the context- or need-driven analytics approach

Do the Largest Firms Grow and Diversify the Fastest? The Case of U.S. Dairies

We analyze growth and diversification of U.S. dairy farms by examining changes in ten size cohorts and new entrants through three successive censuses. We reject Gibrat’s law and the mean reversion hypothesis of growth. Growth rates appear bimodal where the smallest and largest farm cohorts grow fastest. All cohorts diversify but the largest farms do not diversify as rapidly as medium-sized farms. New entrants are generally large, and they diversify more rapidly than comparably-sized incumbents. These data suggest that scale economies persist even for the largest cohort of U.S. dairy farms and scale economies dominate scope economies for large farms.: census, dairy, diversification, growth, scale, scope

What Does Initial Farm Size Imply About Growth and Diversification?

Recent consolidation in agriculture has shifted production toward fewer but larger farms, reshaping business relationships between farmers, processors, input suppliers, and local communities. We analyze growth and diversification of U.S. corn, wheat, apple, and beef farms by examining longitudinal changes in 10 size cohorts through three successive censuses. We fail to reject Gibrat’s law in apple and wheat industries and the mean reversion hypothesis in beef and corn industries. Apple and wheat farms diversify over time. The findings suggest that scale economies diminish for large farms across all four industries and scope economies dominate scale economies for large apple and wheat farms.diversification, firm growth, Gibrat’s law, longitudinal data, scale economies, scope economies, Agribusiness, Farm Management, Production Economics, Q12,