Cointegration techniques are applied to a model of induced innovation based on the two-stage Constant Elasticity of Substitution (CES) production function. This approach results in direct tests of the inducement hypothesis, which are applied to agricultural data for the United Kingdom from 1953...

Growing farm size has generally been explained by technological advances that have allowed farmers to substitute capital for labor. Another possible factor in explaining recent farm size is the demographic shift: the age distribution of farmers has shifted to the right and older farmers...

Economic theory suggests several possible mechanisms through which direct government farm payments might influence the pattern of structural change in agriculture. This study estimates what effect farm payments have had on farm structure using farm-level panel data from the 1987, 1992, and 1997...

This paper presents preliminary evidence on the effect of crop insurance on fertilizer and chemical inputs in agriculture. Our estimates are based on two sources of identification that emerge from a policy change concerning insurance subsidies that approximately doubled total premiums and the...

An early-warning system generates economic value to the extent that it improves decision making. The value of the information hinges on the degree to which a timely response, aided by warnings, facilitates successful damage mitigation. USDA's Coordinated Framework for Soybean Rust includes a...

Farm-level Census data and county-level income shock data reveal that past unexpected income shocks affect the rate of change in average farm size. Average farm size increases more quickly in counties experiencing negative income shocks as compared to counties experiencing positive income...

We use a large increase in Federal crop insurance subsidies as a natural experiment to identify the impact of risk on acreage and diversification decisions. Subsidy increases induced greater crop insurance coverage, which reduced farmers' financial risks. Did this change in the risk environment...