There has been a recent surge of interest in open source software development, which involves developers at many different locations and organizations sharing code to develop and refine programs. To an economist, the behavior of individual programmers and commercial companies engaged in open...

A significant amount of software development is being outsourced to countries such as India. Many Indian software firms have applied for and received quality certifications like the ISO9001, and the number of quality certified software firms has steadily increased. Despite its growing popularity...

We show how to use field-programmable gate arrays (FPGAs) and their associated high-level synthesis (HLS) compilers to solve heterogeneous agent models with incomplete markets and aggregate uncertainty (Krusell and Smith, 1998). We document that the acceleration delivered by one single FPGA is...

The returns to face-to-face interactions are of central importance to understanding the determinants of agglomeration. However, the existing literature studying patterns of geographic proximity in patent citations or industrial co-location has struggled to disentangle the benefits of...

Open source is key to innovation, but we know little about how to incentivize it. In this paper, we examine the impact of a program providing monetary incentives to motivate innovators to contribute to open source. The Sponsors program was introduced by GitHub in May 2019 and enabled...

A critical impediment to research on school-to-work programs has been the absence of large representative data sets with information on such programs. In contrast, the new NLSY (NLSY97) offers researchers opportunities to analyze direct evidence on school-to-work programs. In the NLSY97,...

We investigate the problem of predicting the average effect of a new training program using experiences with previous implementations. There are two principal complications in doing so. First, the population in which the new program will be implemented may differ from the population in which the...

We follow the labor market outcomes of applicants who were randomized into job training a year and a half before the pandemic through the subsequent economic turmoil that resulted from COVID-19. Despite persistently improved labor market outcomes of training participants prior to March 2020, we...

This paper analyzes economic behavior and the effects of training and income support policies in the low wage labor market for women. The opportunity set takes account of nonlinearities and discontinuities associated with career interruption, part-time work, and government programs. There are...