An Aggregate Model of Technical Change
构建了一个加总增长模型，将技术描述为新工厂从概率分布中抽取的过程，特别好的抽取被视为技术创新，使后续分布均值移动，导致内生、随机且累积的技术变迁。模型增长路径呈现非平稳漂移，长期人均增长率对储蓄参数有正敏感性。
A simple aggregate growth model is presented in which technology is described by a probability distribution from which new plants are drawn. Especially good draws are viewed as technological innovations that shift the mean of the following period's plant distribution function. The resulting technical change is endogenous, random, and cumulative. In contrast to conventional growth models, the model's growth path displays nonstationary drift rather than deterministic trend, and the long-run per capita growth rate has positive rather than zero sensitivity to the model's saving parameter.