A simulation model incorporating stochastic yields, prices, and government payments generates returns for landowners and tenants under cash, share, and flexible leases. Corn, soybeans, wheat, cotton, peanuts, and wheat-double crop soybeans crop enterprises are studied. Alternatives are evaluated by mean returns, coefficient of variation, and certainty equivalent analysis.

Farmland values in the United States represent a major component of the farm sector balance sheet. The linkage between farmland values and agricultural debt has typically been ignored in the literature. This paper attempts to make two contributions to our understanding of farmland prices.

The report documents the creation of estimates for cropland cash rental rates in the Upper Mississippi River Basin in 1997. Although the basic data come from disparate sources, we employ a unifying estimation procedure based on the presumption that the cropland cash rental rate is an increasing function of corn yield potential.

A discrete choice dynamic model was used to predict land use change for an area in Panama. Our results show not only that our modeling technique performs better than static models, but it is also superior to previous attempts to model land use change in a dynamic fashion.

This paper investigates causation contemporaneously and over time to elucidate the persistent lack of agreement about what "causes" changes in farmland prices. Using recently developed causal modeling framework of directed acyclic graphs (DAGs) and cointegrated (VAR) techniques, the assumed causal structures of existing structural and empirical models are tested directly.

This report presents the results of a survey of Delaware agricultural landowners about their characteristics, opinions, and behavior regarding participation in the Delaware Agricultural Lands Preservation Program, specifically the PACE and Ag Dist programs. The results demonstrate that participants tend to:
- Own larger farms

The quasi-option value (QOV) literature originated by Arrow and Fisher (1974) and by Henry (1974) is largely concerned with the analysis of two-period models of land development. Our paper extends this literature by analyzing two scenarios in which the decision to develop land is made in a multi-period and stochastic framework. In the first scenario, the development decision is indivisible.