Stephanie D. Rosch
Purdue University
Publications 13
#1Stephanie D. Rosch (USDA: United States Department of Agriculture)H-Index: 3
#2David L. Ortega (MSU: Michigan State University)H-Index: 14
We characterize systematic differences in willingness and opportunity to contract for farmers in and out of the French bean supply market in Kenya. We find that the factors associated with being a low cost producer do not always align with the factors correlated with opportunity to contract. We also find that farmers in and out of the market differ on average in the premiums they place on buyer reliability, which suggests that imperfect contract enforcement could impact participation in French b...
Programs that help farmers manage risk are a major component of the Federal Government’s support to rural America. Changes to this risk—and thus to the Government’s fiscal exposure— are expected as weather averages and extremes change over the coming decades. This study uses a combination of statistical and economic modeling techniques to explore the mechanisms by which climate change could affect the cost of the Federal Crop Insurance Program (FCIP) to the Federal Government, which accounts for...
#1Mesbah MotamedH-Index: 5
#2Ashley HungerfordH-Index: 1
Last.Joseph C. CooperH-Index: 23
view all 8 authors...
This report describes the current landscape of Federal risk management policies, including the Agricultural Act of 2014, and analyzes the outcomes and interactions of these programs. Despite their common objective of risk reduction, Federal programs differ in their payment mechanisms and their impacts on producer revenue, and uptake has varied significantly across programs and crops. Area-loss insurance programs, such as the Stacked Income Protection Plan and Supplemental Coverage Option, receiv...
#1Stephanie D. RoschH-Index: 3
#1Ashley HungerfordH-Index: 1
#2Stephanie D. RoschH-Index: 3
We examine how reducing subsidies for federal crop insurance affects the risk management portfolios of US soybean producers. We apply the portfolio optimization approach of Das and Statman \citeyearpar{das2013options} to model how producers’ risk management portfolios change as subsidies for federal crop insurance premiums change, and examine how the changes to the risk management portfolios impact farmers’ on-farm income and exposure to downside risk. We optimize farmers’ risk management portfo...
#1Joshua R. YoderH-Index: 2
#2Corinne E. Alexander (Purdue University)H-Index: 13
Last.Steven Y. Wu (Purdue University)H-Index: 10
view all 6 authors...
We evaluate how different contract designs impact risk sharing along the supply chain for the dedicated energy crop miscanthus. We model the full production and transportation system of the miscanthus supply chain because a sustainable supply chain must procure biomass in a cost-effective manner. Using this model, we estimate the financial returns and risks for both a farmer producing miscanthus and the biofuels plant purchasing miscanthus. We evaluate differences among contracts that are design...
6 CitationsSource
#1Stephanie D. Rosch (Purdue University)H-Index: 3
#2Cathy ZhangH-Index: 4
Last.David L. OrtegaH-Index: 14
view all 4 authors...
We estimate the effect of search frictions on Kenyan farmers' decisions to supply French beans for export under contract. This paper has two main contributions. First, we build on the competitive wage models of Moen (1997) and Mortensen and Wright (2002) to include imperfect contract enforcement. Second, we employ two novel empirical methodologies to test our model using data from Kenya's French bean export industry. The first methodology measures search frictions based on the spatial density of...
#1Stephanie D. RoschH-Index: 3
#1Stephanie D. Rosch (Purdue University)H-Index: 3
#2David L. Ortega (MSU: Michigan State University)H-Index: 14
We introduce a fast and inexpensive method to rule out potential barriers to adopting a technology. We use this method to asses the role of exogeneous contract enforcement as a barrier to market for Kenya's French Bean export market. We survey 240 farmers in Kirinyaga County, Kenya who were specifically recruited as matching pairs of geographically-nearest neighbors. We use a choice experiment as our instrument to estimate the effect of imperfect contract enforcement on their intensive and exten...