Using natural language processing, we identify corporate goals stated in the shareholder letters of the 150 largest companies in the United States from 1955 to 2020. Corporate goals have proliferated, ...

Current technological developments in a number of industries, such as the rise of artificial intelligence and innovations ...

This paper considers why fertility has fallen to historically low levels in virtually all high-income countries. Using cohort data, we document rising childlessness at all observed ages and falling ...

In addition to working papers, the NBER disseminates affiliates’ latest findings through a range of free periodicals — the ...

Lab-in-the-field experiments, in which lab experiments are conducted in more naturalistic settings, are increasingly being implemented in developing country contexts. In this chapter, we outline the ...

While prior studies of language acquisition have focused on schools, we show the overwhelming influence of out-of-school learning. We identify the causal effect of subtitling in a ...

The charter school movement encompasses many school models. In Massachusetts in the 2010’s, the site of our study, urban charter schools primarily used “No Excuses” practices, whereas nonurban ...

Using newly-collected data on the near-population of U.S. STEM PhD graduates since 1950, we examine who funds PhD training, how many graduates are trained in areas of strategic national importance, ...

In the United States, unemployment insurance (UI) is funded through employer-side payroll taxes that are experience-rated based on previous UI claims. States differ significantly with respect to the ...

We estimate transitory and permanent import tariff shocks in the United States over the postwar period. We find that transitory tariff increases are neither inflationary nor contractionary, and are ...

Top income inequality in the United States has increased considerably within occupations. This phenomenon has led to a search for a common explanation. We instead develop a theory where increases in ...

Using a dual-framework approach, we demonstrate how AI can transform both strategic decision-making and daily operations within central banks, taking the Federal Reserve System (FRS) as a ...