SURVEYING FARMERS: A RESEARCH NOTE

Mail surveys are a very popular instrument for researchers as well as government agencies and commercial firms to obtain information about farmers. A large percentage of farmers do not respond to these mail surveys. To gain insight into why farmers do not respond and their preferences regarding mail surveys, farmers who did not respond to a mail survey were interviewed. From our field study it appears that a large proportion does not even read the questionnaire. Furthermore, the period in which the survey is sent along with the form and amount of compensation, the sender of the questionnaire, and the length of the questionnaire has a crucial impact on the willingness to participate.Research Methods/ Statistical Methods,

Modeling Farmers' Use of Market Advisory Services

In an effort to improve marketing of their products, many farmers use market advisory services (MAS). To date, there is only fragmented anecdotal information about how farmers actually use the recommendations of market advisory services in their marketing plans, and how they choose among these services. Based on the literature on consulting services usage, a conceptual framework is developed in which perceived performance of the MAS regarding realized crop price and risk reduction, and the match between the MAS and the farmer's marketing philosophy drive MAS usage. To account for possible heterogeneity among farmers regarding to the use of MAS, we introduce a mixture-modeling framework that is able to identify unobserved heterogeneity. With this modeling framework we are able to simultaneously investigate the relationship between market advisory usage and the key components of our conceptual model for each unobservable segment in the population. A large scale interview of US farmers that contained several experiments revealed that farmers' use of MAS not only depends on the outcome of their services (price and risk reduction performance) but also on the way these services are delivered, i.e., the match of marketing philosophy between farmers and MAS. The influence of the factors in our conceptual model did not influenced farmers MAS usage equally across the whole sample. Using the generalized mixture model framework we found 5 segments that differed regarding the influence that these factors have on farmers MAS usage. The heterogeneity of the farmers appeared to be unobserved, in that it could not be traced back to observable variables such as age and region. It is the decision-making process itself, as reflected in our conceptual model, that caused the heterogeneity.Marketing,

Crop Farmers’ Use of Market Advisory Services

This study sought to examine the nature of farmers’ use of market advisory services based on the results of a survey of US crop producers. The survey revealed that market advisory service users tend to be significantly more risk seeking than non-users. Survey results indicated a large range in patterns of use of advisory services. Most farmers use advisory services to the greatest extent for marketing information, market analysis, and to keep up with markets. General guidelines (market strategies and price information) are utilized more than specific advice (e.g., specific pricing decisions, price forecasts). Only 11% of farmers reported that they closely follow the marketing recommendations provided by advisory services. Nonetheless, farmers report that the information provided by advisory services has a substantial impact on their marketing decisions. The implications of these results for advisory services, farmers, extension programs and research are discussed.Agricultural Finance,

The Impact of Market Advisory Service Recommendations on Producers' Marketing Decisions

A conceptual framework is developed which provides insight into the factors affecting the impact of market advisory service (MAS) recommendations on producer pricing decisions. Data from a survey of 656 U.S. producers reveal that the perceived performance of the MAS, the way in which MAS recommendations are delivered, as well as the match between MAS and producers' marketing philosophy, are important factors explaining the impact of MAS recommendations. Risk attitude does not affect the impact of MAS recommendations on producers' decisions, suggesting producers are more interested in the price-enhancing characteristics of MAS advice than in its risk-reducing features. Key words: market advisory services, ordered probit model, producers' marketing decisionsmarket advisory services, ordered probit model, producers' marketing decisions, Marketing,

HOW TO GROUP MARKET PARTICIPANTS? HETEROGENEITY IN HEDGING BEHAVIOR

Using a generalized mixture model, we model individual heterogeneity by identifying groups of participants that respond in a similar manner to the determinants of economic behavior. The procedure emphasizes the role of theory as the determinants of behavior are used to simultaneously explain market activities and to discriminate among groups of market participants. We show the appealing properties of this modeling approach by comparing it with two often used grouping methods in an empirical study in which we estimate the factors affecting market participants' hedging behavior.Institutional and Behavioral Economics,

THE ROLE OF MARKET ADVISORY SERVICES IN CROP MARKETING AND RISK MANAGEMENT: A PRELIMINARY REPORT OF SURVEY RESULTS

The purpose of this report is to provide a preliminary summary of the results of a survey designed to help answer the questions about subscriber use of market advisory services. Importantly, this research is a cooperative partnership between the University of Illinois and the Data Transmission Network. The survey participants are commercial producers of major grain, oilseed and fiber crops, representing important agricultural areas of the US. The survey has three broad objectives, including 1) how US producers perceive the riskiness of various aspects of farming; 2) how US producers manage farm business risk, and 3) how US producers select and use market advisory services.Marketing, Risk and Uncertainty,

Algebraic filter approach for fast approximation of nonlinear tomographic reconstruction methods

We present a computational approach for fast approximation of nonlinear tomographic reconstruction methods by filtered backprojection (FBP) methods. Algebraic reconstruction algorithms are the methods of choice in a wide range of tomographic applications, yet they require significant computation time, restricting their usefulness. We build upon recent work on the approximation of linear algebraic reconstruction methods and extend the approach to the approximation of nonlinear reconstruction methods which are common in practice. We demonstrate that if a blueprint image is available that is sufficiently similar to the scanned object, our approach can compute reconstructions that approximate iterative nonlinear methods, yet have the same speed as FBP

Fluctuating Nonlinear Spring Model of Mechanical Deformation of Biological Particles

We present a new theory for modeling forced indentation spectral lineshapes of biological particles, which considers non-linear Hertzian deformation due to an indenter-particle physical contact and bending deformations of curved beams modeling the particle structure. The bending of beams beyond the critical point triggers the particle dynamic transition to the collapsed state, an extreme event leading to the catastrophic force drop as observed in the force (F)-deformation (X) spectra. The theory interprets fine features of the spectra: the slope of the FX curves and the position of force-peak signal, in terms of mechanical characteristics --- the Young's moduli for Hertzian and bending deformations E_H and E_b, and the probability distribution of the maximum strength with the strength of the strongest beam F_b^* and the beams' failure rate m. The theory is applied to successfully characterize the $FX$ curves for spherical virus particles --- CCMV, TrV, and AdV