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 level, improvements in technology are associated with higher labor productivity but a decline in the labor share....

Text data is ultra-high dimensional, which makes machine learning techniques indispensable for textual analysis. Text is often selected--journalists, speechwriters, and others craft messages to target their audiences' limited attention. We develop an economically motivated high dimensional...

An ever increasing share of human interaction, communication, and culture is recorded as digital text. We provide an introduction to the use of text as an input to economic research. We discuss the features that make text different from other forms of data, offer a practical overview of relevant...

A basic tenet of financial economics is that asset prices change in response to unexpected fundamental information. Since Roll's (1988) provocative presidential address that showed little relation between stock prices and news, however, the finance literature has had limited success reversing...

Intelligently allocating research effort and funds requires deciding whether to build on recent advances or on more established knowledge. When recent advances create superior opportunities for invention, their adoption as research inputs in the invention process promotes technological progress....

Using textual analysis of earnings conference calls, we quantify firms' supply chain risk and its sources. Our proxy for supply chain risk exhibits large cross-sectional and time-series variation that aligns with reasonable priors and is unprecedently high during the Covid-19 pandemic. In...