Data and Code

Replication and reproducibility are vital to the efforts of any scientific endeavor. As such, I like to provide access to datasets and code / scripts whenever possible. Please see below for links to data and code / scripts related to work that I have done.

“Cluster Hiring Initiatives in U. S. Universities”

Project Abstract

Over the last three decades, interdisciplinary cluster hiring programs have become popular on research university campuses as a means to foster interdisciplinary collaboration and to align research faculty with federal funding priorities. These initiatives are based on the hiring of multiple faculty members, typically between three and eight, to interact in interdisciplinary teams, in most cases with the expectation that they will jointly pursue high-impact research. For U.S. research universities, cluster hiring has become a popular means to add faculty members in university-defined priority fields. The expectation of advocates is that these faculty members will collaborate on high-impact research.  We investigate this phenomenon utilizing two databases that we created for this project. The Survey of Faculty Cluster Hires (SFCH) Database is a survey of 199 cluster hires across 20 research universities. The SFCH Database includes questions about cluster hiring practices in American colleges and universities. It focuses on three key areas: hiring experiences, research and collaborative experiences, and organizational experiences. The Faculty Cluster Hires Research Productivity and Impact (FCHRPI) Database utilizes a national sample of 168 cluster-hire faculty members from eight U.S. research universities to investigate research output, collaborations, and research impact prior to and after hire.

“Job Tasks and the Comparative Structure of Income and Employment: Routine Task Intensity and Offshorability for the LIS”

Project Abstract

Figure 1. Macro-level Correlation of Mean Labor Income Ratios between Recoded and Reported ISCO Categories.

Comparative sociologists have long considered occupations to be a key source of inequality. However, data constraints make comparative research on two of the more important contemporary drivers of occupational stratification – globalization and technological change – relatively scarce. This article introduces a new dataset on occupational ‘routine task intensity’ (RTI) and ‘offshorability’ (OFFS) for use with the Luxembourg Income Study (LIS). (Picture is Figure 1. Macro-level Correlation of Mean Labor Income Ratios between Recoded and Reported ISCO Categories)

To produce these data, we recoded 23 country-specific occupational schemes (74 LIS country-years) to the two-digit ISCO-88 scheme. When combined with the handful of LIS countries already reporting their occupations in ISCO-88, we produce individual level RTI and OFFS scores for 38 LIS countries and 160 LIS country-years. To assess the validity of these recodes, we compare average labor-income ratios predicted by recoded ISCO-88 occupational categories to those predicted by reported ISCO-88 occupational categories within countries that transitioned from country-specific to ISCO-88 codes over time. To assess the utility of these RTI and OFFS scores and advance the literature on income polarization, we analyze their association with work hours and labor incomes in the global North and South. Both covariates correlate with work hours in ways that are consistent with previous research and additional theoretical considerations. Moreover, we show that both RTI and OFFS contribute to income polarization directly in the North, but not in the South. This article generates a public good data infrastructure that will be of use to a wide variety of social scientists, and brings new evidence to bear on the question of income polarization in rich democracies.