Asset/Liability Management in Kansas Banks

Financial Economics,

Impact of Changes in Energy Input Prices on Ethanol Importation and Prices

Demand and Price Analysis, International Relations/Trade, Resource /Energy Economics and Policy,

THE EFFECTS OF FOOD SAFETY ISSUES ON DIVERSIFIABLE AND NONDIVERSIFIABLE AGRIBUSINESS RISK

This effects of food safety issues on food and agribusiness firm financial risk and return are quantitatively examined using a Bayesian switching model. A capital asset pricing model is estimated to examine the pre- and post-issue on the firm. In addition, the diffusion process on other firms in the industry is also analyzed.Agribusiness, Food Consumption/Nutrition/Food Safety,

Supporting people with active and advanced disease: a rapid review of the evidence

1.1 Background: the NCSI AAD group The National Cancer Survivorship Initiative (NCSI, 2010) was set up in response to the NHS Cancer Reform Strategy (Department of Health, 2007) as a collaboration between Macmillan Cancer Support, the Department of Health and NHS Improvement, with the goal to achieve a better understanding of the experiences of cancer survivors and to advocate for the provision of services to support them. Within this broad remit, it was recognised that there was a particular group of patients whose needs were commonly neglected; people who were experiencing the ongoing effects of cancer beyond first-line treatment but who were not at end of life. The Active and Advanced Disease (AAD) working group was created to consider issues of relevance to such people. 1.2 Aims of this review This project set out to meet the following aim: To review the literature on selected cancers in order to identify implications for the development of services to support patients experiencing difficulties associated with active and advanced disease

Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity

The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential. The robustness of such inferences is dependent on sample size. The purpose of this study is to examine the impact of sample size on the mean estimated bias and efficiency of parameter estimation and inference for the logistic regression model. A number of simulations are conducted examining the impact of sample size, nonlinear predictors, and multicollinearity on substantive inferences (e.g. odds ratios, marginal effects) and goodness of fit (e.g. pseudo-R2, predictability) of logistic regression models. Findings suggest that sample size can affect parameter estimates and inferences in the presence of multicollinearity and nonlinear predictor functions, but marginal effects estimates are relatively robust to sample size.Logistic Regression Model, Multicollinearity, Nonlinearity, Robustness, Small Sample Bias, Research Methods/ Statistical Methods,

Input inefficiency in commercial banks: a normalized quadratic input distance approach

A normalized quadratic input distance function is proposed with which to estimate technical efficiency on commercial banks regulated by the Federal Reserve System. The study period covers 1990 to 2000 using individual bank information from the Call and Banking Holding Company Database. A stochastic frontier model is specified to estimate the input normalized distance function and obtain measures of technical efficiency.Banks and banking

Choice of the Empirical Definition of Zero in the Translog Multiproduct Cost Functional Form

This study examines the impacts of empirical definition of zero output values on price elasticities, economy of scope, and scale using the Translog cost function. A system of cost and factor share equations with regularity conditions imposed is estimated. Results show that the choice of default values affects policy recommendations.Research Methods/ Statistical Methods,

CHARACTERISTICS OF MASTER'S PROGRAMS IN AGRIBUSINESS MANAGEMENT

This study describes and compares agribusiness master’s programs in North America. These programs include the master of business administration (MBA) and master in (or “of”) agribusiness (MAB) degrees. Accredited MBA programs with an agribusiness emphasis are required to have a clear required core of courses in finance, management, marketing management, and human behavior. Additional required courses in policy, agricultural marketing, production or managerial economics, and quantitative methods are also frequently required. MAB programs have more diversity regarding the four core subjects with a greater percentage of the courses taught within departments of agricultural economics. Evaluation of agribusiness master’s programs in agricultural economics departments is difficult without any formal evaluation criteria.Agribusiness, Teaching/Communication/Extension/Profession,