PhD, Maastricht University, 2020
MA, The New School for Social Research, 2012
BA, The New School, New York, 2009
My research is primarily focused on the intersection of labor and innovation. As a graduate student, I was interested in how automation impacted the demand of skills within occupations and industries and how the diversity of certain skill combinations provided a wage premium. My prior work focused on the returns to cognitive, physical, or social skills, but I was interested in how automation increased wage premiums for the intersection of these skills (social and cognitive, for example) in knowledge-based industries such as finance and education. I later focused more on the skills of inventors―particularly how cognitive skills change as one ages and if that can be reflected in how disruptive an invention is over the life course. More recently, I’ve evaluated policy-based interventions and their effect on labor market outcomes of parents, such as the effect of maternity leave on female inventors’ productivity and inventiveness, the impact of access to childcare and schooling during COVID-19, and its impact on a variety of labor market outcomes of parents.
ECO 106: Principles of Economics: Micro
ECO 240: Quantitative Anlys & Forcastng
ECO 270: Internet Economics
ECO 395: Independent Study in Economics
ECO 400: Seminar in Economic Theory
ECO 585: Applied Econometrics
ECO 590: Data Analytics (R and Python)
ECO 699: Mstr Thss or 3 Pblc Plcy Essys
MBA 802: Managerial Eco for Dec Making
Invention and the life course: Age differences in patenting.
Kaltenberg, M. A., Jaffe, A. B. & Lachman, M. E. (2023). Research Policy. Vol 52 (Issue 1)
Assistant Professor Mary Kaltenberg, PhD, discusses Pace’s new Computational Economics program, which merges economics and computer science to prepare students for data-focused careers. She also shares how her research on labor and innovation provides students hands-on experience with real-world economic questions—skills they present at professional conferences.
Dyson economics student and Fed Challenge team co-captain Liam Chentoufi ’25, pictured alongside the team and Federal Reserve chair Jerome Powell, is harnessing the power of AI to help better predict Federal Reserve monetary policy decisions through an exploratory research study leveraging machine learning.
Highly motivated economics student Hanyu Li, alongside Dyson Professor Mary Kaltenberg, are investigating a little-studied topic: how does a person’s general appetite for risk impact fertility decisions?