This paper examines the relationship between technological progress and the riskiness of labor income using employer-employee matched income data from the United States. Results suggest innovation is associated with a substantial increase in the labor income risk, especially for workers at the...

We examine the relation between technological progress and the riskiness of labor income. Motivated by a simple model of creative destruction, we draw a distinction between technological innovation advanced by the firm, or its competitors. Using administrative data from the United States, we...

We examine the relation between technological progress and the riskiness of labor income. Motivated by a simple model of creative destruction, we draw a distinction between technological innovation advanced by the firm, or its competitors. Using administrative data from the United States, we...

Using administrative data from the United States, we document novel stylized facts regarding technological innovation and the riskiness of labor income. Higher rates of industry innovation are associated with significant increases in labor earnings for top workers. Decomposing this result, we...

For many benchmark predictor variables, short-horizon return predictability in the U.S. stock market is local in time as short periods with significant predictability (‘pockets') are interspersed with long periods with little or no evidence of return predictability. We document this result...

We construct occupation-specific indicators of technological change that span two centuries (1850-2010) using textual analysis of patent documents and occupation task descriptions. For each patent, we identify the set of occupations it is most closely related to based on the similarity of the...

Pay inequality between executives and workers accounts for a substantial fraction of overall pay inequality in the United States. We develop a general equilibrium model that delivers realistic fluctuations in pay inequality -- both between executives and workers, and among executives in...

We use textual analysis of high-dimensional data from patent documents to create new indicators of technological innovation. We identify significant patents based on textual similarity of a given patent to previous and subsequent work: these patents are distinct from previous work but are...