Bergtold, Jason S.

May, 2019

By: Brewer, Brady E.; Bergtold, Jason S.; Featherstone, Allen M.; Wilson, Christine A.
Understanding the factors that affect a farmer’s credit source is useful for lending institutions to more effectively target customers and provides insight into credit sources that would be affected sooner if a credit crisis would occur and the characteristics that are correlated with a customer using a particular lending institution. Results of this paper suggest that the customers of commercial banks would be the most at risk as they are the most leveraged. Results also show that as conditions deteriorate, farmers add more lending institutions and are also more likely to use a commercial bank or nontraditional lender.

May, 2019

By: Ramsey, Steven M.; Bergtold, Jason S.; Canales, Elizabeth; Williams, Jeffery R.
When considering adoption or intensification of existing conservation practices, farmers have unique, subjective views of the associated risks. These individual risk perceptions could have important implications for conservation adoption or intensification. As a result, traditional policy approaches to encourage conservation agriculture may be inefficient. This study examines conservation adoption, with special consideration given to yield-risk perceptions. We present a conceptual model of perceived yield risk and estimate bivariate probit models using survey data. Results indicate that positive practice perceptions, particularly with respect to soil fertility, and opportunities for on-farm trialing may encourage adoption.

August, 2004

By: Bergtold, Jason S.; Akobundu, Eberechukwu; Peterson, Everett B.
This study estimates a set of unconditional own-price and expenditure elasticities across time for 49 processed food categories using scanner data and the FAST multi-stage demand system with fixed effects across time. Estimated own-price elasticities are generally much larger, in absolute terms, than previous estimates, while our expenditure elasticities are generally much lower. The use of disaggregated product groupings, scanner data, and the estimation of unconditional elasticities likely accounts for these differences. Results of the study suggest providing more disaggregate product-level demand elasticities could aid in the economic analysis of issues relating to industry competitiveness or the impact of public policy.