I am an applied microeconomist in the field of innovation and labor economics interested in the scientific production of scientists (inventors and academics) and more recently, policy analysis of local childcare programs. My expertise in my research is twofold ÄÐÅ®²Ù±ÆÊÓƵÈí¼þ“ building large datasets that contains unique data through web-scraping and applied econometrics.
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 inventorsÄÐÅ®²Ù±ÆÊÓƵÈí¼þ•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, IÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™ve evaluated policy-based interventions and their effect on labor market outcomes of parents, such as the effect of maternity leave on female inventorsÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™ 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)
Women remain significantly underrepresented in economics, but Pace's Economics Department is flipping the script. With a 50% female student body on the New York City campus and dynamic experiential learning opportunities, the department is proving that inclusion in economics isnÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™t just possible, itÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™s happening.
Kristina Krichmaryov '26 found her passion with Computational Economics. She highlights the unique community of predominantly female students and the numerous opportunities for intellectual growth and leadership.
Assistant Professor Mary Kaltenberg, PhD, discusses PaceÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™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 questionsÄÐÅ®²Ù±ÆÊÓƵÈí¼þ”skills they present at professional conferences.