جست‌وجوی استاد و پژوهشگر

Harald Tauchmannمشاهده پروفایل

استاد

• Health Economics
• Empirical Health Economics
• Health Insurance
• +۳ مورد دیگر

Prof. Dr. Harald Tauchmann is a Professor of Health Economics at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has held a faculty position since 2013. He is affiliated with the School of Business, Economics and Social Sciences, specifically within the Department of Economics. Prof. Tauchmann also participates in multiple research focus areas at FAU, including 'Insurance and Risk' and 'Work in Transition,' demonstrating his interdisciplinary approach to health economics. Prof. Tauchmann received his education at Heidelberg University and the University of Manchester, UK, where he studied economics, political science, and sociology. He graduated in 1998 and completed his doctorate at the Interdisciplinary Institute for Environmental Economics (University of Heidelberg) in 2003. Prior to joining FAU, he worked as a research associate at the Rhineland-Westphalian Institute for Economic Research (RWI) in Essen from 2003 to 2012 and headed a junior research group at the health economics research center CINCH at the University of Duisburg-Essen. His research expertise lies in empirical health economics, with a particular emphasis on health insurance choice and competition, as well as individual health behavior. He has made significant contributions to understanding obesity, health shocks, mental health care payment systems, and thyroid diagnostics through his extensive publication record. His methodological work includes developing specialized Stata modules for econometric analysis, which have been widely adopted by researchers in the field. Prof. Tauchmann's scholarly work demonstrates a consistent focus on applying rigorous econometric methods to pressing health policy questions. His research portfolio shows particular strength in causal analysis of health behavior, especially regarding obesity interventions, health insurance market dynamics, and the economic consequences of health shocks. His recent publications (including several forthcoming in 2025) indicate continued scholarly productivity and relevance to current health policy debates. From March 2021 to April 2022, Prof. Tauchmann served as chairman of the German Society for Health Economics, highlighting his leadership and recognition within the national health economics community. His email contact is harald.tauchmann@fau.de for professional inquiries.

Manxi Wuمشاهده پروفایل

استادیار

• Societal Networks
• Game Theory
• Network Optimization
• +۴ مورد دیگر

Manxi Wu is an Assistant Professor in Cornell University's School of Operations Research and Information Engineering, specializing in societal networks and game-theoretic approaches to system design. Her research develops computational models for strategic learning and incentive mechanisms in socio-technical systems, with applications to transportation networks and digital platforms. Education: B.S. Applied Mathematics, Peking University (2015) M.S. Transportation, Massachusetts Institute of Technology (2017) Ph.D. Social and Engineering Systems, Massachusetts Institute of Technology (2021) Her research integrates game theory, optimization, and machine learning to address challenges in autonomous services, traffic management, and decentralized decision-making. Current investigations focus on adaptive incentive structures, spatial resource allocation, and equilibrium analysis in complex networked environments. Publication analysis reveals consistent emphasis on game-theoretic frameworks applied to urban mobility systems, with recent work exploring multi-agent reinforcement learning, congestion pricing equity, and electric fleet management. Methodological innovations include novel convergence proofs for decentralized algorithms and computational approaches to fairness constraints. Awards and Honors: Hammer Fellowship UTC Milton Pikarsky Memorial Award Siebel Scholarship EECS Rising Star recognition No information is currently available regarding student advising, research grants, or laboratory affiliations.

• Global Health Education
• Clinical Ethics
• Diabetes Management
• +۳ مورد دیگر

Tracy Rabin, MD, MS, is Associate Professor of Medicine (General Medicine) and Clinical Professor of Nursing at Yale School of Medicine. She directs the Office of Global Health and serves as Associate Program Director for Global and Community Health in the Yale Primary Care Internal Medicine Residency Program. She attends on medical wards at Yale-New Haven Hospital's St. Raphael Campus, directs a multidisciplinary diabetes clinic, and co-leads curricula in community engagement and international medical education through the Makerere University-Yale University collaboration in Uganda. Her research focuses on global health education, clinical ethics, diabetes management, and healthcare transitions. She has developed innovative models for teaching politically charged topics and gender-affirming care. Dr. Rabin's publications address global health equity, non-communicable disease management in Uganda, ethical medical education partnerships, and pandemic responses.

Sorawoot Srisumaمشاهده پروفایل

دانشیار

• Econometrics
• Empirical Industrial Organizations
• Dynamic Discrete Choice Models
• +۳ مورد دیگر

Sorawoot Srisuma is an Associate Professor in the Department of Economics at the National University of Singapore (NUS). His research focuses on econometrics and empirical industrial organization, with particular emphasis on structural estimation, dynamic discrete choice models, and market structure analysis. He holds a PhD from the London School of Economics. Key research areas include the analysis of subjective well-being data, nonparametric identification in economic models, and the welfare effects of market frictions. His work often combines advanced econometric techniques with applications in industrial organization and development economics. Recent publications explore topics such as search models with heterogeneous agents, spatial autoregressions with varying coefficients, and the impacts of mental health policies. He is affiliated with the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His teaching areas include advanced econometrics, and he has contributed to methodological advancements in structural estimation, particularly in dynamic games and Markov decision processes.

Kota Saitoمشاهده پروفایل

استاد

• Decision Theory
• Behavioral Economics
• Experimental Economics
• +۳ مورد دیگر

Kota Saito is a Professor of Economics at the California Institute of Technology. He holds a Ph.D. from Northwestern University (2011) and previously served as an Assistant Professor at Caltech from 2011–16 before becoming a full professor in 2017. Education: B.A. (Keio University, 2005), M.A. (University of Tokyo, 2007), Ph.D. (Northwestern University, 2011) His research focuses on decision theory , developing mathematical models that explain behavioral regularities in experimental economics and psychology. Key areas include stochastic intertemporal preferences , random utility models , and discrete choice analysis . Recent work explores non-separable time preferences in dynamic discrete choice models and axiomatizations for random utility with incomplete datasets. The 15 most recent publications span decision theory , discrete choice , and behavioral economics , with particular attention to stochastic intertemporal choice , mixed logit models , and risk-time preference interactions . These studies often involve collaborations with Federico Echenique, Jay Lu, and Taisuke Imai. Scientific Awards NSF Grant SES-1919263 (PI) NSF Grant SES-1558757 (Co-PI) Pension Research Council/TIAA Institute Partnership Grant (2017-18) At Caltech, Saito is affiliated with the Ronald and Maxine Linde Institute of Economic and Management Sciences and the Center for Theoretical and Experimental Social Sciences (CTESS). He teaches graduate courses in economic theory, including Behavioral Decision Theory and Theory of Value .

• Competitive pricing
• Competitive advertising
• Branding
• +۹ مورد دیگر

Jean-Pierre Dubé is the James M. Kilts Distinguished Service Professor of Marketing at the University of Chicago Booth School of Business. He serves as director of the Kilts Center for Marketing at Booth, is a Research Associate at the National Bureau of Economic Research, an elected fellow for the Informs Society for Marketing Science, and a faculty fellow at the Marketing Science Institute. He has been working as a research consultant with Amazon since 2018 and previously consulted for Yahoo! from 2008-2010. B.Sc. in quantitative methods in economics from the University of Toronto (1995) M.A. in economics from Northwestern University (1996) Ph.D. in economics from Northwestern University (2000) Dubé's research focuses on the intersection of industrial organization and quantitative marketing. His empirical studies examine consumer preferences for branded goods, price discrimination, advertising, food deserts and nutrition policy, and the role of misinformation in consumer demand. His work frequently employs advanced econometric methods to analyze consumer behavior across various markets, including packaged goods, digital platforms, and media consumption. Many of his recent projects involve collaborations with companies in the US and China, reflecting the applied nature of his work. Dubé's publications span leading journals in economics and marketing, with recent work focusing on personalized pricing, media effects on consumer behavior during the pandemic, craft brand preferences among millennials, and nutritional inequality. His research demonstrates strong methodological rigor while addressing practical business and policy questions, often challenging conventional wisdom as seen in his work on food deserts which found neighborhood environments contribute minimally to nutritional inequality. 2023 Hillel J. Einhorn Excellence in Teaching Award Chicago Booth Class of 2016 Phoenix Award for service to extracurricular activities 2008 Paul E. Green Award for Best paper in the Journal of Marketing Research 2005 Faculty Teaching Excellence Award for Evening MBA and Weekend MBA Programs Elected fellow for the Informs Society for Marketing Science Multiple MSI Research Grants Kauffman grant Yahoo! Faculty Research Grant Professor Dubé serves as Department Editor at Management Science and has previously served as an area/associate editor for several leading journals including The Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics. His industry collaborations, particularly with Amazon and previously Yahoo!, have enabled him to conduct large-scale field experiments that inform both academic theory and business practice. Dubé joined the Chicago Booth faculty in 2000 and continues to be actively engaged in research, teaching, and professional service, influencing both academic scholarship and industry practice.

Sorawoot Srisuma (Tang)مشاهده پروفایل

دانشیار

• Econometrics
• Empirical Industrial Organization
• Structural Models
• +۴ مورد دیگر

Sorawoot Srisuma (Tang) is an Associate Professor of Economics and Director of the Graduate Program at the Department of Economics, National University of Singapore. His research focuses on econometrics, particularly structural models applied to industrial organization, dynamic games, and empirical studies. PhD in Economics from the London School of Economics His research interests center on the identification and estimation of structural models, including Markov decision processes, dynamic games, auctions, and consumer search theories. These areas are explored through both theoretical econometric methods and empirical applications. Recent research trends include contributions to nonparametric estimation, dynamic discrete choice modeling, and structural analysis of market dynamics. His work bridges econometric theory with practical applications in industrial organization and behavioral economics. He has organized academic events such as the Workshop on Structural Econometrics (2023) in collaboration with Tiffany Tsai, and the Workshop on Markov Decision Processes and Reinforcement Learning (2023) with Ying Chen and Oliver Linton.

Peter S. Arcidiaconoمشاهده پروفایل

استاد

• Applied Microeconomics
• Labor Economics
• Education Policy
• +۷ مورد دیگر

Peter S. Arcidiacono is the William Henry Glasson Distinguished Professor of Economics at Duke University's Trinity College of Arts & Sciences. His research focuses on applied microeconomics, labor economics, and education policy, with a particular emphasis on structural estimation, affirmative action, and higher education outcomes. He holds affiliations with the Duke Population Research Center and has served as an editor for journals like Quantitative Economics and the Journal of Labor Economics . Education: PhD in Economics from the University of Wisconsin-Madison (1999), MS from the same institution (1997), and BS from Willamette University (1993). Research interests include discrimination analysis, STEM enrollment dynamics, and the impact of grading policies on student retention. Notable publications analyze Harvard admissions biases, affirmative action effects, and the economic returns to education. He has received NSF grants and fellowships, including recognition as a Fellow of the Econometric Society (2018) and the International Association of Applied Econometrics (2020). Advising: Over 40 doctoral students, many now in academia and policy roles. Grants include NSF funding for dynamic discrete choice models and educational policy research. His work bridges economic theory with real-world applications in education and labor markets.

• Econometrics
• Applied Economics
• Quantitative Finance
• +۳ مورد دیگر

Professor Dennis Kristensen is a faculty member at the Department of Economics, University College London (UCL). He holds affiliations with prominent institutions including CeMMAP, the Institute for Fiscal Studies, Aarhus Center for Econometrics (ACE), and the Centre for Macro and Financial Econometrics at Essex University. His research focuses on econometric theory, applied microeconomics, and quantitative finance. Key areas include structural dynamic models, nonlinear econometrics, and financial econometrics. His work integrates advanced computational methods and nonparametric techniques to address complex economic problems. Research interests span stochastic volatility models, demand inversion in consumer behavior, and indirect estimation methods. He has contributed to methodologies for handling unobserved heterogeneity and time-varying parameters in economic models. Prof. Kristensen's publications emphasize methodological innovation, with recent work addressing continuous-time Markov models, diffusion copulas, and dynamic discrete choice frameworks. His articles often bridge theoretical econometrics with applied contexts, such as corporate defaults and financial market analysis. He is actively engaged in the academic community, contributing to journal editorials and interdisciplinary collaborations. His affiliations reflect a commitment to advancing econometric theory and its applications in policy and finance.

Ivan Jeliazkovمشاهده پروفایل

دانشیار

• Bayesian Econometrics
• Markov chain Monte Carlo
• Econometric Modeling
• +۴ مورد دیگر

Ivan Jeliazkov is an Associate Professor of Economics and Statistics at the Department of Economics, University of California, Irvine. His research focuses on Bayesian econometrics and simulation-based inference, emphasizing methodologies like Markov chain Monte Carlo and econometric modeling. He holds a Ph.D. in Economics from Washington University in St. Louis and a BA in Economics and Business Administration from Coe College. His key research areas include Bayesian Econometrics, advanced simulation techniques, and causal inference applications. Notable work addresses heteroskedasticity in causal studies, quantile analysis of rental markets, and simultaneous equation models for discrete data. Recent advising includes 2024 Ph.D. graduates Robert MacDonald, Parush Arora, and Jieyu Gao. His articles span topics like dynamic factor models, regression discontinuity designs, and model comparison techniques. He has contributed to interdisciplinary research in marketing, finance, and historical economic analysis. His methodological innovations emphasize practical applications of Bayesian methods to address econometric challenges such as uncertainty quantification and model specification. Current work continues advancing computational tools for complex econometric problems.

• Behavioral Finance
• Portfolio Optimization
• Mathematical Finance
• +۳ مورد دیگر

Andrea Meireles serves as Assistant Professor in the Department of Finance at ISCTE Business School, ISCTE-University Institute of Lisbon, where she teaches core finance courses across undergraduate and graduate programs including Investments, Investment Portfolio Management, and Credit Risk. Her academic credentials include: PhD in Mathematics (Probability and Stochastic Analysis) from University of Edinburgh (2014) Master's degree in Financial Mathematics from ISCTE-University Institute of Lisbon (2009) Bachelor's degree in Mathematics from University of Lisbon - Faculty of Sciences (2007) Dr. Meireles' research pioneers the integration of behavioral economics with rigorous mathematical finance, focusing on reference-dependent utility functions, model uncertainty in discrete-time markets, and optimal portfolio strategies for behavioral investors. Her work bridges theoretical probability with practical financial decision-making, addressing critical gaps in understanding how psychological anchors influence market participation and investment choices. Analysis of her 2012-2023 publications reveals consistent contributions to top-tier journals like Mathematical Finance and Mathematics of Operations Research, demonstrating evolving expertise from foundational continuous-time portfolio theory toward contemporary behavioral market microstructure analysis. Her recent work increasingly examines endogenous anchor formation and its systemic market implications. She currently supervises Master's dissertation research on interest rate model calibration for inflation-protected securities, specifically guiding Alexandre Miguel Furtado Silva's 2025 project implementing the Jarrow-Yildirim HJM framework for nominal and real rate modeling.

Chiara Calastriمشاهده پروفایل

دانشیار

• Choice Modelling
• Econometrics
• Travel Behaviour Analysis
• +۵ مورد دیگر

Dr. Chiara Calastri is an Associate Professor at the University of Leeds' Institute for Transport Studies (Faculty of Environment). She holds a PhD in Transport Studies from Leeds, an MSc in Economics (Distinction) from Sant’Anna School of Advanced Studies, and a BSc in Economics from the University of Pisa. Her core research focuses on advancing choice modelling methodologies to understand travel behavior complexities, including multi-tasking during travel, social interactions, time allocation, and mode choices. She extends these frameworks to health and ecology domains. As Co-Lead of the Choice Modelling Research Group and Deputy Director of Postgraduate Studies, she oversees PhD supervision and teaches Transport Data Analysis. She directs projects including: INFUZE (Zero Carbon Mobility) National Railway Accessibility Strategy Post-COVID rail passenger recovery Her contributions earned the Eric Pas Dissertation Award for doctoral research on travel decision-making. Current PhD students investigate rail access dynamics, electric bus adoption in Lagos, and longitudinal travel behavior.

• Sustainable Transport
• Transport Economics
• Discrete Choice Modeling
• +۳ مورد دیگر

John Rose is a Professor and Neil Smith Research Chair in Sustainable Transport Futures at the University of Sydney's Institute of Transport and Logistics Studies. He holds a BEc(Hons) from the University of Sydney and a PhD in Transport Economics under Prof. David Hensher. Previously, he directed the Institute for Choice (UniSA) and co-founded BIDA (UTS), leading to $3.4M in grants and $9M in industry contracts. His research focuses on discrete choice models, sustainable transport policy, and behavioral economics applications in transport, health, and environmental domains. Education: BEc(Hons) in Economics/Econometrics (University of Sydney), PhD in Transport Economics (University of Sydney). Research interests include experimental design optimization, transport crowding valuation, and circular economy transitions for ports. He co-developed the Ngene software for experimental design and advises companies like CaPPRe. Recent grants include ARC-funded projects on utility theory and external validity in choice experiments. Research highlights include over 300 peer-reviewed publications and roles as editor for Transportation and Journal of Choice Modelling . Current projects explore sustainable transport pathways, carbon footprint reduction, and freight logistics resilience. His work bridges academia and industry, emphasizing evidence-based policy for transport decarbonization.

Lars Peter Hansenمشاهده پروفایل

استاد

• Econometrics
• Macroeconomics
• Financial Economics
• +۴ مورد دیگر

Lars Peter Hansen is the David Rockefeller Distinguished Service Professor in Economics, Statistics, and the Booth School of Business at the University of Chicago. He holds a Ph.D. from the University of Minnesota (1978) and a B.S. in Mathematics & Political Science from Utah State University (1974). His research focuses on econometrics, asset pricing, and macroeconomic uncertainty, with groundbreaking contributions like the Generalized Method of Moments (GMM). He directs the Macro Finance Research Program (MFR) under the Becker Friedman Institute and co-leads the Macro Financial Modeling Project (MFM). Key roles include past chairmanship of the University of Chicago Department of Economics and presidency of the Econometric Society. Hansen's honors include the 2013 Nobel Prize in Economic Sciences, BBVA Frontiers of Knowledge Award (2010), and Nemmers Prize (2006). His work addresses uncertainty in financial markets, climate policy, and long-run economic risks. He advises on climate finance, central banking, and systemic risk through affiliations like the Hong Kong Institute for Monetary and Financial Research. His research bridges macroeconomics, finance, and statistics, emphasizing robust decision-making under uncertainty.

• Econometrics of Discrete Choice
• Public Goods Valuation
• Environmental Economics
• +۴ مورد دیگر

Riccardo Scarpa is a Professor in the Business School at Durham University, with affiliations including the Institute of Hazard, Risk and Resilience. He holds a Laurea in Agricultural Science from the University of Tuscia (1988), an MSc in Environmental Impact Assessment from Aberystwyth University (1990), and MA/PhD in Economics from the University of Wisconsin-Madison (1995/1999). He has held academic roles globally, including Professorships at the Waikato Management School (since 2005) and the University of Verona (since 2014). Educations: Laurea in Agricultural Science, University of Tuscia, 1988 MSc in Environmental Impact Assessment, University College of Wales, Aberystwyth, 1990 MA, 1995 and PhD, 1999 in Economics, University of Wisconsin-Madison His research focuses on econometric methods (discrete choice analysis), environmental and agricultural economics, public finance, and policy valuation. He has published over 175 peer-reviewed papers in top journals, with an h-index of 42. His work is highly cited in areas like non-market valuation, biodiversity economics, and behavioral public policy. Ric has advised over 25 PhD students, many now in academia or international organizations. His consultancy spans environmental policy, public goods valuation, and agricultural development for agencies like the World Bank, FAO, and OECD. Awards: Listed in the Top Italian Scientists List (Business Sciences) Consistently ranked in top 1% of REPECS authors for H-index His recent articles explore topics such as consumer preferences for food labeling, HIV prevention technologies, and forest recreation valuation. He serves on editorial boards of key journals and has led major projects like the World Bank’s environmental degradation cost assessment in Georgia (2019-2020).