This article measures the effects of workers’ mobility across regions characterised by different productivity levels through the lens of a search and matching model with heterogeneous workers and firms estimated using administrative data. In an application to Italy, the model estimates imply that the relocation of workers to the most productive region boosts employment and output at the country level, reduces inequality and widens productivity gaps. There is an interplay between the sorting of workers across regions and across firms, and migration mitigates the frictions caused by worker–firm sorting. The model allows for the evaluation of general equilibrium effects of place-based policies towards the least productive region. Subsidising the creation of high-technology jobs reduces migration substantially while increasing employment and productivity. In contrast, subsidies for hiring unemployed or high-skill migrants imply indirect effects that limit policy effectiveness.

中文翻译：

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跨区域匹配排序

本文通过搜索和匹配模型以及使用行政数据估计的异质工人和公司来衡量工人跨地区流动的影响，这些地区具有不同的生产率水平。在意大利的应用中，该模型估计表明，将工人迁移到生产力最高的地区会促进国家层面的就业和产出，减少不平等并扩大生产力差距。跨地区和跨公司的工人分类之间存在相互作用，迁移减轻了工人与公司分类造成的摩擦。该模型允许评估基于地方的政策对生产力最低地区的一般均衡影响。补贴创造高科技工作岗位可大大减少移民，同时增加就业和生产力。相比之下，对雇用失业或高技能移民的补贴意味着限制政策有效性的间接影响。