معرفی
Nick Pretnar serves as an Adjunct Professor of Economics at Carnegie Mellon University's Tepper School of Business while concurrently holding a postdoctoral position at the Laboratory for Aggregate Economics and Finance (LAEF) at the University of California, Santa Barbara. He teaches Macroeconomics for the Master of Computational Finance program and Principles of Macroeconomics for undergraduates, leveraging his expertise in household finance and structural economic change.
His academic credentials include:
- Ph.D. in Economics, Carnegie Mellon University (2020)
- M.S. in Economics, Carnegie Mellon University (2018)
- B.A. in English, University of Missouri (2015)
- B.S. in Mathematics, University of Missouri (2015)
- B.S. in Economics, University of Missouri (2015)
Pretnar's research program integrates micro-foundational behavioral phenomena with macroeconomic modeling, focusing on how time allocation and consumption decisions shape growth, inequality, and structural transformation. His work examines spatial and sectoral distributions of economic activity, market power dynamics, and policy impacts on consumer behavior across health, environmental, and labor domains. This interdisciplinary approach bridges household finance with aggregate economic outcomes through rigorous quantitative methods.
Analysis of his 15 most recent publications (2019-2024) reveals concentrated research trajectories in health sector structural change, renewable energy subsidy effectiveness, and time-use economics. These works demonstrate consistent application of structural modeling to investigate how micro-level behavioral mechanisms—including mental accounting, liquidity constraints, and time allocation—generate macroeconomic phenomena like market concentration, inequality patterns, and sectoral shifts, with particular emphasis on policy-relevant questions in environmental and health economics.
No scientific awards or fellowships were explicitly documented in the source materials.
Research funding has been secured from the National Science Foundation (NSF), the PNC Center for Financial Services at Carnegie Mellon University, and LAEF at UCSB. While actively mentoring through teaching roles, no formal PhD or Master's advisees were listed in the provided documentation. His experimental work occurs within UCSB's Laboratory for Aggregate Economics and Finance, which specializes in macroeconomic modeling using large-scale datasets and structural estimation techniques to analyze business cycles, growth dynamics, and policy impacts.
