We study teachers' choices about how to allocate class time across different instructional activities, for example, lecturing, open discussion, or individual practice. Our data come from secondary schools in England, specifically classes preceding GCSE exams. Students score higher in math when...

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...

In this paper, we estimate matching functions using disaggregate data. We find strong support for the matching approach, with most specifications implying slightly increasing returns to scale. This finding does not appear to arise from our inclusion of additional controls or from the level of...

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...

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...

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...

This paper exploits a new matched universal and longitudinal employer-employee database at the US Census Bureau to empirically investigate the link between firms' choice of worker mix and the implied relationships between productivity and wages. We particularly focus on the decision making...

Funding of research is critically important because it affects the flow of new, doctorally qualified scientists into the workforce. This paper provides new insights into how survey data can be combined with administrative records to examine the ways in which funding affects workforce decisions....