jasonthompsonnyuMy primary research pertains to the role of postsecondary institutional selectivity in social mobility. The first chapter of my dissertation utilizes the NLSY79 in a descriptive analysis of intergenerational associations in socioeconomic status among graduates of non-selective, less selective, and selective colleges and universities. In subsequent chapters using the NLSY79 and PSID, I deploy multi-level models and an instrumental variables identification strategy in examining the determinants of access to selective institutions and the socioeconomic returns across the distribution of admissions selectivity. Findings show that, in addition to the level of education one attains, the selectivity of one’s undergraduate degree holds significant implications for socioeconomic outcomes in adulthood.

Other strands of my research have been published in Social Science Research, Research in Social Stratification and Mobility, The Federal Reserve Bank of St. Louis Review, and RSF: The Russell Sage Foundation Journal of the Social Sciences. These studies examine the role of law and student discipline in secondary school organizations; the intergenerational transmission of postsecondary educational prestige; and the causal effect of major health events on socioeconomic security. These projects deploy an array of qualitative and quantitative methodologies using a variety of data analysis packages, such as Dedoose, ATLAS.ti, SAS, and Stata.

Throughout my doctoral training at NYU, I have had the opportunity to serve as a teaching assistant or adjunct professor for six semesters. I hold a passion for integrating my research interests into coursework and engaging students with the power of the sociological imagination. In addition to courses on topics related to my sub-fields of research, I have designed and implemented a ten-session lab sequence to complement the graduate-level introduction to quantitative methods course for which I served as a teaching assistant. This curriculum applies foundational concepts in quantitative analysis while introducing students to data management and statistical programming using the Stata statistical software package.