Shumway, C. Richard

By: Walters, Cory G.; Shumway, C. Richard; Chouinard, Hayley H.; Wandschneider, Philip R.
Government programs that help agricultural producers manage risk may have environmental consequences. In recent years, premium subsidies for crop insurance have been increased substantially to encourage greater producer participation. Using detailed, producer-level crop insurance contract data in four regions, we investigate whether adverse environmental effects have resulted from these increased subsidies. We find some association between environmental effects and insurance contracts. On average, however, we find that environmental effects are generally small and as often beneficial as adverse. More importantly, we find that results are specific to local conditions and to particular environmental indicators and may be hidden in aggregate analysis.
By: Lim, Hongil; Shumway, C. Richard; Love, H. Alan
Soybean producers participate in a checkoff program to support research and market development activities. Checkoff funds are used for both yield-enhancing and cost-reducing production research. Using USDA cost-of-production data and a regional modeling framework with greater model pretest support than several alternatives, national marginal returns to producers are estimated to higher for checkoff-supported research than for publicly supported soybean research. They are also higher for checkoff cost reducing than for checkoff yield-enhancing research.
By: Shumway, C. Richard
This article is a limited assessment of the agricultural production economics literature since 1982 that resulted from dual modeling approaches. Contributions have removed several perceived obstacles to dual modeling, such as testing curvature, identifying the technology when prices are collinear, and examining dynamics of production. Some contributions have also removed obstacles to primal modeling. Dual methods have been used in risk applications only recently and still appear less convenient than primal methods. Convenience may become the primary criterion for selecting primal or dual methods.
By: Shumway, C. Richard; Lim, Hongil
Because so much agricultural policy analysis utilizes estimates of supply and demand elasticities, it is crucial to obtain the most reliable estimates possible. Where reliability cannot be adequately assessed, the sensitivity of elasticities to equally plausible a priori specifications should at least be ascertained. In this article, the sensitivity of U.S. output supply and input demand elasticities to choice of functional form. Considerable sensitivity is found to choice of functional form. Although most frequently used, the translog is generally the outlier and is the least preferred among the alternatives.
By: Villezca-Becerra, Pedro A.; Shumway, C. Richard
Aggregate dual models are specified to examine multiple-output production relationships in each of four major, geographically dispersed, agricultural states (California, Iowa, Texas, and Florida). Three locally-flexible functional forms (translog, generalized Leontief, and normalized quadratic) are employed to conduct analytic simplification tests, estimate systems of output supply and input demand equations consistent with nonrejected hypotheses, derive elasticities, and determine to what extent analytic simplification tests and policy-relevant results are sensitive to functional form and state. Important differences in empirical implications were found due both to functional form and geographic unit, but differences were greater for the latter.