Testing regularity properties in static and dynamic duality models: the case of Greek agriculture
利用希腊农业1961-1994年数据，基于超越对数利润函数估计误差修正模型，检验静态模型与三种简单动态模型，发现误差修正模型更符合经济理论的正则性性质。
An error correction model of Greek agriculture for the period 1961-1994 is estimated using a dynamic system of output and input share equations derived from a translog profit function. Nested within this model are a static model and three simpler dynamic models: a partial adjustment model, autoregressive error model and finite distributed lag model. The data-generating process rejects the static model and simpler dynamic models in favour of the more general error correction model, which is also found to perform better than the static model in terms of consistency with the regularity properties implied by economic theory.