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)...

Designed for consistency with competitive theory, nonrejected simplifying assumptions and multi stage choice, aggregate dual models are specified of Texas agricultural production. Disaggregated own and cross price elasticities are derived for 25 commodity supplies and six input demands....

Own- and cross-price production elasticities, estimated in four major agricultural states (California, Iowa, Texas, and Florida), measure the sensitivity to price changes of as many as 25 individual crop and livestock output supplies and six input demands. While most responses were highly...

We construct a stochastic dynamic dual model to investigate the structural adjustment of two aggregate output and three aggregate input categories in US agriculture under stochastic climatic change. More than a century of national annual data (1910–2011) is used in the empirical analysis. No...