In this paper, we highlight knowledge as specific channel through which labour mobility affects conditional within-firm wage dispersion. We present a model in which workers acquire knowledge on the job and firms pursue a policy of learning-by-hiring. The latter generates workers flows that connect firms in a network. A firm's position in the network depends on its capacity to absorb the tacit knowledge developed by other firms in the economy. The model predicts that firms central to the network, those with the highest absorptive capacity of tacit knowledge, have the highest wage dispersion. Using 1995-2001 Veneto (a region of Italy) matched employer-employee data, we map workers flows between firms and build the network formed by all the firms. For each firm, we assess its network centrality. In our data conditional within-firm wage dispersion turns out to be increasing in network centrality, confirming the prediction of the model.

在本文中，我们强调知识是劳动力流动性影响公司内部有条件的工资分散的特定渠道。我们提出了一种模型，在这种模型中，工人获取有关工作的知识，而公司则奉行逐项学习的政策。后者产生了连接网络中的公司的工人流。一个企业在网络中的地位取决于其吸收经济中其他企业发展的隐性知识的能力。该模型预测，网络核心企业，即隐性知识吸收能力最高的企业，工资分散度最高。使用1995-2001年威尼托（意大利的一个地区）匹配的雇主-雇员数据，我们绘制了企业之间的工人流动图，并建立了由所有企业组成的网络。对于每家公司，我们评估其网络中心性。