
I study knowledge spillovers in an industry where firms are mobile and heterogeneous in their ability to adopt outside knowledge (absorptive capacity). I develop a static model of industry agglomeration where, in equilibrium, the force of attraction induced by spillovers is counteracted by the force of repulsion created by local competition. The model is applied to a sample of the US software firms. I estimate the structural parameters of the model and obtain the following results: (a) The data are consistent with highly localized knowledge spillovers; (b) The attraction force induced by spillovers creates a significant sorting pattern placing firms with higher absorptive capacity in more agglomerated counties; (c) Ignoring firm heterogeneity in absorptive capacity leads to substantially biased estimates of gains from spillovers in policy experiments.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
