We study the impact of firm level choices of ICT, R&D, exporting and importing on the evolution of productivity and its bias towards skilled occupations. We use a novel measure of the propensity of a firm to engage in technology investment and adoption: its employment of workers with STEM...

Thousands of resumes were sent in response to online job postings across multiple occupations in Toronto to investigate why Canadian immigrants, allowed in based on skill, struggle in the labor market. Resumes were constructed to plausibly represent recent immigrants under the point system from...

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...

In this paper, I develop a model to analyze how skill premia differ over time and across countries, and use this model to study the impact of international trade on wage inequality. Skill premia are determined by technology and the relative supply of skills. An increase in the relative supply of...

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...