Simple Nonparametric Tests of Technological Change: Theory and Application to U.S. Agriculture
提出几种基于不同行为假设的技术变革非参数检验方法，通过类似显示偏好理论的二元比较验证公理，并应用于美国农业数据，支持技术变化可排序且中性的假设。
Abstract Several nonparametric tests of technological change are proposed conditional on alternative maintained behavioral assumptions. The tests are simple as they require verification of axioms via binary comparisons that are analogous to those of the revealed preference theory. Our model allows a broad interpretation of technological changes, yet trivial rationalization of the data with either profit‐maximization or cost‐minimization behavior is excluded. The tests are applied to study the U.S. aggregate agricultural data, supporting the hypotheses of rankable and neutral Technological Variations.