This article provides an overview of the methods used for algorithmic text analysis in
economics, with a focus on three key contributions. First, we introduce methods for …

Full days worked at home account for 28 percent of paid workdays among Americans 20–64
years old, as of mid-2023. That's about four times the 2019 rate and ten times the rate in the …

The pandemic triggered a large, lasting shift to work from home (WFH). To study this shift, we
survey full-time workers who finished primary school in twenty-seven countries as of mid …

Labor market tightness following the height of the Covid-19 pandemic led to an unexpected
compression in the US wage distribution that reflects, in part, an increase in labor market …

WFH (working from home) has been crucial to the economy during the Covid-19 pandemic
and is expected to continue to grow in importance even after the pandemic. WFH is …

What are the effects of recent advances in Generative AI on the value of firms? Our study
offers a quantitative answer to this question for US publicly traded companies based on the …

This paper reports causal evidence on how the extent of hybrid work—the number of days
worked from home relative to days worked from office—affects employee attitudes and …

Digital technologies may make some tasks, jobs and firms more resilient to unanticipated
shocks. We extract data from over 200 million US job postings to construct an index for firms' …

Amidst the rise of remote work, we ask: what are the effects of proximity to coworkers? We
find being near coworkers has tradeoffs: proximity increases long-run human capital …

In this paper, we describe the capabilities and constraints of Large Language Models
(LLMs) within disparate academic disciplines, aiming to delineate their strengths and …