We devise a Directed Technical Change (DTC) multisector Schumpeterian growth model in which both wage inequality and wage polarization are analysed. To that end, we introduced tasks in the model, some of which can be automated – replaced by robots or machines –, thus combining the DTC and task-based growth literature in an unified framework. This model produces positive relationships both (i) between the relative supply of high-skilled workers and the skill premium and (ii) between automation and wage polarization. Moreover, within the model, we analyse Lobbying as an activity that can affect the wage distribution and integrate it in the strategic interations between firms. We find that it can reduce the effects of automation on wage polarization, and through this channel possibly affecting the wage distribution without affecting the skill premium.

我们设计了一个定向技术变革 (DTC) 多部门熊彼特增长模型，其中分析了工资不平等和工资两极分化。为此，我们在模型中引入了任务，其中一些任务可以自动化——被机器人或机器取代——从而将 DTC 和基于任务的增长文献结合在一个统一的框架中。该模型在 (i) 高技能工人的相对供应与技能溢价之间以及 (ii) 自动化与工资两极分化之间产生了正相关关系。此外，在模型中，我们将游说分析为一种可以影响工资分配的活动，并将其整合到公司之间的战略互动中。我们发现它可以减少自动化对工资两极分化的影响，并通过这个渠道可能影响工资分配而不影响技能溢价。