We use textual analysis of high-dimensional data from patent documents to create new
indicators of technological innovation. We identify important patents based on textual …

The fact that firms benefit from close proximity to other firms with which they can exchange
inputs, skilled labor or know-how helps explain why many industrial clusters are so …

Evidence abounds that agglomeration patterns have changed over time, but little is known
about changes in the underlying determinants of agglomeration. We analyze 44 years of …

We study the relationship between the enforceability of covenants not to compete (CNCs)
and employee mobility and wages. We exploit a 2015 CNC ban for technology workers in …

We examine the spillover effect of public firm disclosures on the patent trading market. The
patent market is rife with information frictions, yet can potentially facilitate the reallocation of …

While previous studies examine innovation policies' direct effects on economic outcomes,
the mechanisms through which these policies reshape employment structures remain …

We construct new technology indicators using textual analysis of patent documents and
occupation task descriptions that span almost two centuries (1850–2010). At the industry …

This paper studies the impact of Demand-pull (DP) and Technology-push (TP) on growth,
innovation, and the factor bias of technological change in a two-layer network of input …

We develop a measure of workers' technology exposure that relies only on textual
descriptions of patent documents and the tasks performed by workers in an occupation. Our …

We use the US patent data merged with firm-level datasets to establish new facts about the
role of mega firms in generating “novel patents”—innovations that introduce new …