Policymakers, faced with different options for replacing lost earnings, have had limited evidence to inform their decisions. The current economic crisis has highlighted the need for data that are local and timely so that different fiscal policy options on local economies can be more immediately...

Characterizing the work that people do on their jobs is a longstanding and core issue in labor economics. Traditionally, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to generate an automated crosswalk between job...

Cloud computing--computing done on an off-site network of resources accessed through the Internet--is revolutionizing how computing services are used. However, because cloud is so new and it largely is an intermediate input to other industries, it is difficult to track in the U.S. statistical...

This paper develops a framework for measuring digital services in the face of ongoing innovations in the delivery of content to consumers. We capture what Brynjolfsson and Saunders (2009) call "free goods" as the capital services generated by connected consumers' stocks of IT digital goods, a...

Published macroeconomic data traditionally exclude most intangible investment from measured GDP. This situation is beginning to change, but our estimates suggest that as much as $800 billion is still excluded from U.S. published data (as of 2003), and that this leads to the exclusion of more...

We study the job training provided under the US Workforce Investment Act (WIA) to adults and dislocated workers in two states. Our substantive contributions center on impacts estimated non-experimentally using administrative data. These impacts compare WIA participants who do and do not receive...

Longitudinal micro-data derived from transaction level information about wage and vendor payments made by federal grants on multiple U.S. campuses are being developed in a partnership involving researchers, university administrators, representatives of federal agencies, and others. This paper...

In this paper we use a very large matched database on firms and employees to analyze the use of temporary agencies by low earners, and to estimate the impact of temp employment on subsequent employment outcomes for these workers. Our results show that, while temp workers have lower earnings than...

We estimate the effects of technology investments on the demand for skilled workers using longitudinally integrated employer-employee data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Program infrastructure files spanning two Economic Censuses (1992 and 1997). We...

Innovation in the U.S. economy is about employing and rewarding highly talented workers to produce new products. Using unique longitudinal matched employer-employee data, this paper makes a key connection between talent and firms in markets with risky product innovations. We show that software...