Jeffrey Zabel

Jeffrey Zabel is a Professor of Economics and Director of the MS Program in Data Analytics at Tufts University's School of Arts and Sciences. He holds a PhD in Economics from UC San Diego (1987) and a BA in Mathematics from Swarthmore College (1979). His research focuses on applied micro-economics, particularly urban, housing, education, environmental, and labor economics, leveraging econometric methodologies. He has served as co-editor of the Journal of Housing Economics, associate editor at Regional Science and Urban Economics, and editorial board member at Real Estate Economics. His professional roles include Fellow at the Weimer School of Advanced Studies in Real Estate, Research Affiliate at NYU’s Institute for Education and Social Policy, and Board Member of the Boston Research Data Center (BRDC).

Education:

• PhD in Economics, University of California, San Diego (1987)
• BA in Mathematics, Swarthmore College (1979)

Research Interests: Urban and housing economics emphasize spatial market dynamics and policy impacts. His work on education economics explores school choice mechanisms and equity, while environmental studies assess natural resource valuation. Labor economics research examines job displacement and mobility. He also develops econometric tools for hedonic pricing and spatial analysis.

Key Research Trends: Recent articles address property value analysis (e.g., ZTRAX applications), national park environmental impacts, and labor-market-housing interdependencies. His work bridges econometric innovation with policy-relevant insights in urban and environmental domains.

Grants & Awards: Recent funding includes the Smith Richardson Foundation and Russell Sage Foundation grants for studies on worker adaptation and geographic mobility. While no explicit awards are listed, his editorial roles and fellowships reflect peer recognition in real estate and urban economics.

Teaching & Advising: Teaches graduate/undergraduate courses in econometrics and data analytics. Advises students through independent studies and research assistantships, though specific advisee names are not documented here.

Labs/Teams: Engaged in interdisciplinary collaborations through Tufts’ Data Analytics program and external partnerships like NYU’s Institute for Education and Social Policy, focusing on data-driven policy analysis.