论文标题
创新和模仿
Innovation and imitation
论文作者
论文摘要
我们研究了连续企业的创新和模仿驱动的几种增长模型，重点是两者之间的相互作用。我们首先研究了一个技术梯子的模型，在该技术阶梯上，创新和模仿结合在一起，以产生平衡的增长路径（BGP），并具有紧凑的支持，以及针对截短的驱动者的公司生产率分布。我们从一个简单的模型开始，在该模型中，公司可以根据外源性概率采用其他生产率较高的公司的技术。然后，我们研究采用概率取决于每次生产率概率分布的情况。我们最终考虑具有有限数量的公司的模型，这些公司通过建筑具有限制性支持的公司生产力分配。随机的模仿和创新可以使生产力边界与最低生产率水平的距离波动，并且有时可能会变得很大。另外，如果我们固定生产率分布的支撑长度，因为企业离领域太远无法生存，那么公司的数量可能会随机波动。
We study several models of growth driven by innovation and imitation by a continuum of firms, focusing on the interaction between the two. We first investigate a model on a technology ladder where innovation and imitation combine to generate a balanced growth path (BGP) with compact support, and with productivity distributions for firms that are truncated power-laws. We start with a simple model where firms can adopt technologies of other firms with higher productivities according to exogenous probabilities. We then study the case where the adoption probabilities depend on the probability distribution of productivities at each time. We finally consider models with a finite number of firms, which by construction have firm productivity distributions with bounded support. Stochastic imitation and innovation can make the distance of the productivity frontier to the lowest productivity level fluctuate, and this distance can occasionally become large. Alternatively, if we fix the length of the support of the productivity distribution because firms too far from the frontier cannot survive, the number of firms can fluctuate randomly.
