Economists estimating demand and supply systems face the question of using shares or quantities as dependent variables. This article finds that inconsistent estimates are obtained if one makes the wrong choice. A robust structure is presented to let the data choose the preferred form. Empirical...

Bootstrapping, a very versatile statistical technique, significantly amplifies the understanding and success of empirical applications of stochastic dominance. Its ability to calculate the standard deviations of order statistics reveals the uncertainty of the critical estimates of the tails of...

Supply functions in the ubiquitous Gorman class are examined for their homogeneity properties. Homogeneity places surprisingly strong restrictions on functional forms. These forms facilitate testing of aggregability given homogeneity or homogeneity given aggregability or testing both

Numeraire prices that are measured with error create challenges for econometric estimation. A straightforward approach for a model with linear input demands, such as generated from a quadratic normalized profit function, is proposed where the numeraire price is measured with error. Numeraire...

Dual production specifications derived under certainty are typically randomized for econometric purposes with error specifications. This article shows that such approaches can cause integrability conditions to fail. In particular, if errors in input demands represent errors in optimization that...

Machine generated contents note: I -- I -- PART I -- BEHAVIOR UNDER RISK: GENERAL CONCEPTS AND -- THEIR SIGNIFICANCE FOR AGRICULTURE -- 1 Expected Utility as a Paradigm for Decision Making in Agriculture 3 -- Jack Meyer -- 2 Non-Expected Utility: What Do the Anomalies Mean for 21 -- Risk in...