Teresa Serra

Price Transmission in the US Ethanol Market

We use nonlinear time series models to assess price relationships within the US ethanol industry. Daily ethanol, corn, and crude oil futures prices observed from mid-2005 to mid-2007 are used in the analysis. Our results suggest the existence of an equilibrium relationship between the three prices studied. Only ethanol prices are found to adjust to deviations from this relationship. The evolution of ethanol prices in relation to corn and crude oil prices may have important implications for the long-run competitiveness of the US ethanol industry.

Determinants of investments in non‐farm assets by farm households

Off‐farm investment decisions of farm households are analyzed. Farm‐level data for a sample of Kansas farms observed from 1994 through 2000 are utilized. A system of censored dependent variable models is estimated to investigate the factors that influence the composition of farm households’ portfolios. The central question underlying the analysis is whether farm income variability influences off‐farm investment decisions. Previous analyses on the determinants of non‐farm investments have failed to consider the role of income variability. Results of this study indicate that higher farm income fluctuations increase the relevance of non‐farm assets in the farm household portfolio, thus suggesting these assets are used as farm household income risk management tools.

Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms

Spain occupies the first position in worldwide rankings of olive oil production and trade. This analysis assesses the relative technical efficiency with which this sector is operating. The concept of technical efficiency is critical to measuring the performance of a firm, determining the degree of innovative technology adoption and the overall production efficiency. Specifically, the main objective of this study is to assess the relative technical efficiency and to decompose the productivity growth of Spanish olive farms. Technical efficiency effects are assumed to be a function of firm-specific characteristics. Maximum-likelihood methods are applied to the estimation of the model. A primal approach is used to decompose total factor productivity (TFP) growth into its various components. Results indicate that farm location, age of manager, as well as the composition of the workforce affect efficiency levels. Technical efficiency changes and scale effects are found to be the main sources affecting TFP growth.

MODELING CHANGES IN THE U.S. DEMAND FOR CROP INSURANCE DURING THE 1990S

The crop insurance purchase decision for a group of Kansas farmers is analyzed using farm‐level data from the 1990s, a period that experienced many changes in the federal crop insurance program. Results indicate a reduction in the elasticity of the demand for crop insurance with respect to premium rates by the end of the decade. The reduction in demand elasticity corresponded with a considerable increase in government subsidies by the end of the 1990s. This result may also reflect the attractiveness of new revenue insurance products which may have made producers less sensitive to premium changes.