The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers in practice: (1) employment for the majority of county-industry cells is suppressed to protect...

Standard models suggest that adverse labor demand shocks will lead to bigger employment losses if institutional factors like minimum wages and trade unions prevent downward wage adjustments. Some economists have argued that this insight explains the contrast between the United States, where real...

The County Business Pattern ("CBP") files contain employment and establishment counts for detailed industry codes covering all counties in the United States. The contribution of this project is to digitize, clean, and prepare the CBP files from 1946-1974. We also apply the methods developed in...

This paper explores the use of structural models as an alternative to reduced form methods when decomposing observed joint trade and technology driven wage changes into components attributable to each source. Conventional mobile factors Heckscher-Ohlin models typically reveal problems of...

Recently, the relative demand for skilled labor has increased dramatically. We investigate one of the causes, skill-biased technical change. Advances in information technology (IT) are among the most powerful forces bearing on the economy. Employers who use IT often make complementary...

There has been little analysis of the impact of inward foreign direct investment (FDI) on U.S. wage inequality, even though the presence of foreign-owned affiliates in the United States has arguably grown more rapidly in significance for the U.S. economy than trade flows. Using data across U.S....

This paper considers the appropriateness of using such quantitative measures as changes in the factor content of trade and the behavior of factor proportions within versus among industries to draw inferences about changes in relative factor prices. The conclusion reached is that only under...

We use a unique corpus of job descriptions for C-suite positions to document skills requirements in top managerial occupations across a large sample of firms. A novel algorithm maps the text of each executive search into six separate skill clusters reflecting cognitive, interpersonal, and...

We show that cities with higher population density specialize in high-skill service jobs that can be done remotely. The urban and industry bias of remote work potential shaped the COVID-19 pandemic's economic impact. Many high-skill service workers started to work remotely, withdrawing spending...

Over the past four decades, income inequality grew significantly between workers with bachelor's degrees and those with high school diplomas (often called "unskilled"). Rather than being unskilled, we argue that these workers are STARs because they are skilled through alternative routes--namely...