جستجوی استاد راهنمای دانشگاهی

Eline Heppeمشاهده پروفایل

پژوهشگر ارشد

• Mentoring
• Social Participation
• Adolescence
• +۶ مورد دیگر

Eline Heppe is a Visiting Fellow at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, with affiliations in Educational Sciences, APH - Mental Health, and LEARN! - Child rearing. Her research focuses on mentoring programs, social participation, and psychosocial functioning in adolescents with visual impairments. She has contributed to longitudinal studies and randomized controlled trials (RCTs) exploring factors like loneliness, autonomy-supportive parenting, and disability inclusion. Key projects include the 'Visueel in beeld vervolg onderzoek' as a Principal Investigator. She organized events such as the Big Data in Care Research Summit 2020 and has presented on topics like basic psychological needs and community-based interventions. Her work aligns with UN Sustainable Development Goals, emphasizing equity and inclusion. Awarded the Next Generation Award 2017, her research bridges academic and applied contexts, leveraging big data and routine care data to address challenges faced by visually impaired youth and other disability groups. Collaborations span institutions in the Netherlands and internationally.

• Markets with Frictions
• Search and Matching
• Money
• +۳ مورد دیگر

Florian Madison is an Assistant Professor of Economics at Claremont McKenna College, affiliated with The Robert Day School of Economics and Finance. His research focuses on understanding economic phenomena through the lenses of market frictions, search and matching theory, monetary economics, asset pricing mechanisms, liquidity dynamics, and information asymmetries. Research Interests: Markets with Frictions Search and Matching Money Asset Pricing Liquidity Asymmetric Information No publications, grants, or awards are listed in the provided information. Contact via email: flomadison@gmail.com .

• Econometrics
• Time Series Analysis
• High-Dimensional Data Analysis
• +۳ مورد دیگر

Anna Bykhovskaya is an Assistant Professor of Economics at Duke University, affiliated with the Trinity College of Arts & Sciences. She holds a Ph.D. in Economics from Yale University (2019), an MA in Economics from the New Economic School, and BS/MS in Mathematics from Moscow State University. Her research focuses on econometric methodologies for analyzing high-dimensional time series data, including cointegration in large VAR models and network evolution dynamics. She teaches advanced econometrics courses such as Time Series Econometrics and Special Topics in Econometrics. Education: Ph.D. in Economics, Yale University, 2019 MA in Economics, New Economic School BS/MS in Mathematics, Moscow State University Research Interests: Anna combines mathematical rigor with real-world economic challenges, particularly in analyzing long-run dependencies in stock prices, evolving networks of relationships, and macroeconomic time series. Her work emphasizes methodological innovations for high-dimensional datasets and nonlinear econometric models. Publications Trends: Her recent work addresses cointegration in large-scale VAR models, dynamic Tobit models for persistent data, and time series approaches to network evolution. These studies contribute to both econometric theory and applied macroeconomic analysis. Awards: No specific awards listed, though her research has been highlighted in Duke Economics news features. Teaching & Advising: Teaches graduate econometrics courses at Duke. No advising/mentoring details explicitly listed.

Bruce Grundyمشاهده پروفایل

استاد

• Corporate Finance
• Asset Pricing
• Risk Disclosure
• +۷ مورد دیگر

Professor Bruce Grundy holds a faculty position at the Research School of Finance, Actuarial Studies and Statistics, Australian National University (ANU). Previously, he served on the faculties of Stanford University's Graduate School of Business, the Wharton School at the University of Pennsylvania, and the University of Melbourne's Faculty of Business & Economics. He maintains active visiting affiliations with institutions including the University of Chicago, Goethe University Frankfurt, Singapore Management University, and London Business School. His educational background features: PhD in Finance from the University of Chicago Grundy's research centers on corporate finance and asset pricing , with current investigations into risk disclosure informativeness, cybersecurity breach impacts on firm valuation, and sovereign-corporate debt maturity relationships. His methodology integrates rational expectations modeling and real options analysis , extending to momentum trading economics and charitable fundraising mechanisms. Historical work encompasses convertible bond design, dividend policy, and hedge fund dynamics. Recent publications (2020-2024) reveal a pronounced focus on debt market interdependencies and cybersecurity spillovers, with notable contributions to Review of Finance and Journal of Financial Intermediation . His fingerprint analysis confirms dominant expertise in convertible bonds (100% relevance), capital market returns (66%), and investor behavior (44%). Award recognition includes: Geewax-Terker Prize Batterymarch Fellowship Hauck Award Fellowship in the Academy of the Social Sciences in Australia As a registered PhD supervisor, Grundy contributes to academic development while maintaining editorial leadership as former Managing Editor of International Review of Finance and current Associate Editor for Journal of Finance , Review of Financial Studies , and other premier publications. His collaborative network spans 12 international research profiles with shared interests in volatility modeling and charitable economics. Research activity shows consistent output since 1989, with 26 total publications generating 1149 citations and an h-index of 13. Current projects examine sovereign reference rates' influence on corporate debt issuance and cybersecurity breach propagation effects across competitor firms.

• Economic Theory
• Game Theory
• Decision Theory
• +۵ مورد دیگر

Jose Rodrigues Neto is an Associate Professor at The Australian National University's Research School of Economics. His research focuses on Economic Theory, Game Theory, Decision Theory, and Microeconomics, with applied interests in Industrial Organization, Law & Economics, Education, and Public Economics. He holds a PhD in Economics from the University of Wisconsin-Madison. His work spans theoretical contributions to Luce rationality, civil litigation dynamics, oligopoly models, and education policy. Recent studies include analyzing cyclic conditions in decision-making frameworks and the impact of technology on learning outcomes. Neto is actively involved in supervising research students but has no explicitly listed advisees. Neto's articles frequently intersect behavioral economics, legal strategy, and market structures. He has explored topics like competitive equilibrium under participation constraints and the design of protection markets. His research also addresses public goods provision, auctions with limited information, and status signaling through brands. No scientific awards or major grants are listed in the provided materials. His academic contributions emphasize theoretical rigor and applied relevance, with a focus on policy-relevant insights from economic modeling.

Enrico Morettiمشاهده پروفایل

استاد

• Labor Economics
• Urban Economics
• Economic Geography
• +۳ مورد دیگر

Enrico Moretti is the Michael R. Peevey and Donald Vial Professor of Economics at the University of California, Berkeley. He holds affiliations as a Visiting Scholar at the Federal Reserve Bank of San Francisco, a Research Associate at the National Bureau of Economic Research (NBER), and a Research Fellow at the Centre for Economic Policy Research (CEPR) and Institute for the Study of Labor (IZA). His research focuses on labor economics and urban economics, examining geographical disparities in economic activity and their societal impacts. Moretti’s work explores topics such as urban agglomeration benefits, the spatial distribution of high-paying jobs, and policy responses to regional inequality. He has authored influential books like The New Geography of Jobs , which analyzes how economic opportunities are concentrated in certain cities and regions. His research has earned prestigious awards, including the Society of Labor Economists Rosen Prize and the Carlo Alberto Medal. Recent studies highlight themes like the costs of traffic noise, the effects of deindustrialization across global cities, and the role of large labor markets in enhancing productivity. He critiques housing policies and their impact on economic mobility, emphasizing the need for place-based solutions to address spatial disparities. His interdisciplinary approach bridges labor markets, urban planning, and public policy, offering actionable insights for policymakers.

Teng Wah LEOمشاهده پروفایل

دانشیار

• Applied Microeconomics
• Applied Econometrics
• Welfare Economics
• +۴ مورد دیگر

Teng Wah LEO is an Associate Professor in the Department of Economics at St. Francis Xavier University since 2014. He holds a Ph.D. in Economics from the University of Toronto (2006), an M.Soc.Sc. from the National University of Singapore (2001), and a B.A. in Economics & Statistics from the same institution (1994). His research focuses on applied microeconomics, applied econometrics, and welfare economics, with particular emphasis on economic inequality, policy impact analysis, and stochastic dominance methodologies. Key research areas include measuring changes in social justice, analyzing the implications of China's one-child policy, and evaluating the effects of custody laws on child outcomes. He has held visiting positions at National Taiwan University (2018) and the University of Guelph (2012-2013). Recipient of multiple awards including the University Research/Publication/Teaching Award (2009, 2012-2014, 2016, 2018, 2022), he has published extensively in journals like Journal of Economic Growth and Economics Letters. His work bridges econometric rigor with real-world policy applications. Active in academic service, he has served on editorial boards (Advances in Decision Sciences), grant review committees (Hong Kong RGC, NWO), and university committees. Teaching responsibilities span microeconomics, econometrics, and health economics.

Mohammad Mehdi Fazel-Zarandiمشاهده پروفایل

مدرس ارشد

• Data-Driven Decision-Making
• Machine Learning
• Public Policy Analysis
• +۳ مورد دیگر

Mohammad Mehdi Fazel-Zarandi is a Senior Lecturer at the MIT Sloan School of Management's Department of Operations Management. His research focuses on applying data-driven decision-making and machine learning to public policy domains, including immigration, criminal justice, and public health. He holds a PhD in Operations Management from the Rotman School of Management (University of Toronto) and an MS in Industrial Engineering from the University of Toronto. Education: PhD in Operations Management, Rotman School of Management, University of Toronto MS in Industrial Engineering, University of Toronto Research Interests: His work addresses policy challenges through analytical frameworks. Key topics include crime analysis in urban settings, immigration policy modeling, and healthcare system optimization. His methodologies blend statistical analysis with operations research tools. Awards: MIT Sloan Teacher of the Year (2024, 2025) Outstanding Teacher Award, MIT Sloan School of Management (2023) MIT Graduate Teaching Award (2023) Best Paper Award (with Arnold Barnett, 2024) Teaching: Teaches analytics courses to MBA and undergraduate students, focusing on practical applications of quantitative methods. Known for innovative pedagogy recognized through multiple teaching accolades. Media Impact: Research has been featured in outlets like the New York Times, Washington Post, and Bloomberg, highlighting contributions to public discourse on policy issues.

Mohit Karnaniمشاهده پروفایل

پژوهشگر

• Development Economics
• Econometrics
• Empirical Industrial Organization
• +۴ مورد دیگر

Mohit Karnani is a Postdoctoral Researcher at Harvard University and holds a PhD in Economics and Statistics from MIT, advised by Esther Duflo and Parag Pathak. His research focuses on Development Economics, Empirical Industrial Organization, and Market Design, emphasizing policy evaluation in education and labor markets. He previously served as an Instructor at Universidad de Chile, teaching 10 undergraduate and 2 graduate courses in economics and mathematics. His work integrates experimental methods with structural econometrics to study long-term policy impacts. Education: PhD in Economics & Statistics, MIT (2022) MSc in Economics, Universidad de Chile BSc in Economics, Universidad de Chile Research Interests: Evaluating market mechanisms in education systems, understanding frictions in assignment markets, and analyzing policies promoting equality of opportunity. His work combines randomized controlled trials with insights from empirical industrial organization to assess general equilibrium effects. Key Publications: Recent studies include evaluating social media campaigns' impact on pandemic behavior (Nature Medicine 2021) and analyzing centralized college assignment systems (Journal of Political Economy 2024). Awards: 2022 Jerry Hausman Fellowship (MIT) 2022 Global Priorities Fellowship 2019 George and Obie Shultz Fund Teaching & Service: Taught introductory economics/macroeconomics/mathematics courses at Universidad de Chile. Served as Treasurer for Latinx Graduate Students Association at MIT, and organized development economics workshops. Engaged in outreach through high school math teaching for underserved students.

Simon Mongeyمشاهده پروفایل

پژوهشگر ارشد

• Labor Economics
• Macroeconomics
• Market Power
• +۴ مورد دیگر

Simon Mongey is a Principal Research Economist at the Federal Reserve Bank of Minneapolis (since 2021) and a Faculty Research Fellow at the National Bureau of Economic Research (NBER, since 2018). Previously, he served as an Assistant Professor in the Department of Economics at the University of Chicago (2018–2021). He holds a PhD in Economics from New York University (NYU). His research focuses on labor economics, macroeconomics, and market power dynamics. Key themes include monopsony effects in labor markets, tax policy implications, and the interplay between market structure and economic outcomes. He has analyzed wage transparency in online job postings, the impact of minimum wage policies, and the role of progressive taxation in labor markets. His work integrates theoretical models with empirical evidence, often using large-scale datasets to study aggregate labor market trends and business cycle fluctuations. His publications appear in top-tier journals such as Econometrica , American Economic Review , and Review of Economic Studies . Collaborations include prominent economists like David Berger, Kyle Herkenhoff, and Gianluca Violante. He has contributed policy analyses to institutions like the Financial Times and New York Times, focusing on post-pandemic labor market dynamics and merger guidelines. Mongey’s research emphasizes policy relevance, particularly in addressing labor market inefficiencies and inequality. He has been recognized for his innovative approaches to measuring recruiting intensity and evaluating the economic consequences of social distancing measures during the pandemic.

• International Trade
• Supply Chains
• Macroeconomics
• +۳ مورد دیگر

Aaron B. Flaaen is a Principal Economist at the Federal Reserve Board of Governors and an Adjunct Professor at Georgetown University. His research focuses on the intersection of international trade and macroeconomics, with particular emphasis on global value chains, supply chain dynamics, and trade policy effects. He has published extensively on topics such as tariff impacts, offshoring, and the role of multinational firms in economic systems. Flaaen’s work integrates firm-level data and macroeconomic analysis to study the transmission of economic shocks, such as natural disasters (e.g., the 2011 Tōhoku earthquake) and trade policy changes (e.g., US-China tariffs). He also explores methodological advancements in data linkage techniques and the application of novel datasets like bill of lading records and credit card transactions to understand trade flows and services dynamics. His research has addressed critical issues including the decline of US manufacturing, the effects of trade policies on production relocation and prices, and the measurement biases in global value chain analysis. While no formal advising roles or students are listed, his contributions to policy-oriented research have influenced debates on trade, globalization, and economic resilience.

Matthew Shapiroمشاهده پروفایل

استاد

• Macroeconomics
• Econometrics
• Financial Economics
• +۳ مورد دیگر

Matthew Shapiro is the Lawrence R. Klein Collegiate Professor of Economics at the University of Michigan, affiliated with the Survey Research Center (SRC) at the Institute for Social Research (ISR) and the Weiser Center for Europe and Eurasia. He holds a PhD in Economics from MIT (1984). His research focuses on macroeconomics, including tax policy impacts, consumer behavior, financial markets, and improving national economic statistics. He is particularly known for work on investment, capital utilization, and the use of surveys in macroeconomic analysis. Key affiliations include the SRC, where he contributes to methodological advancements in data collection and measurement. His research spans topics such as retirement savings, household portfolio choices, and the effects of fiscal and monetary policies. Recent work emphasizes leveraging big data and machine learning for economic statistics. He has collaborated with organizations like the NSF-Census Bureau Research Network to enhance statistical systems. Notable areas of expertise include macroeconomic policy evaluation, time-series econometrics, and the economics of aging. His interdisciplinary approach integrates theoretical models with empirical analysis, addressing challenges in measuring economic behavior and expectations.

• Microeconomic Theory
• Game Theory
• Decision Theory
• +۴ مورد دیگر

Dr. Mert Kimya is affiliated with the School of Economics at the University of Sydney. His research focuses on Microeconomic Theory, Game Theory, and Decision Theory. His work examines coalition formation, farsighted stability, stochastic choice processes, and alliance network dynamics. Key contributions include studies on dominance invariance in coalition formation and stability criteria in one-to-one matching problems. He has been awarded a 2021 Australian Research Council DECRA grant for research on multilateral cooperation limits. His CV and publications are accessible via his personal website. Professional activities include peer-reviewed journal contributions and collaborations with institutions like the University of Sydney's Faculty of Arts and Social Sciences. Education details are not explicitly stated in the provided texts, but his academic trajectory suggests advanced training in economics and game theory. Research interests emphasize theoretical frameworks explaining strategic behavior in economic contexts, particularly under uncertainty and farsightedness assumptions. His recent articles analyze stability mechanisms in alliance networks and coalitional dynamics, reflecting a focus on foundational game-theoretic principles applied to modern economic challenges. Grants and funding highlight his role in advancing early-career research in cooperative game theory and economic behavior modeling.

• Retailing Strategies
• Logistics Controlling
• Pricing Strategies
• +۳ مورد دیگر

Prof. Volker Trauzettel is a faculty member at Pforzheim University's School of Design Technology Business & Law, specializing in General Business Administration and Commerce. His research focuses on retailing strategies, logistics controlling, pricing mechanisms, and supply chain optimization. He has authored textbooks like Exam Training for General Business Administration (2017) and contributed to peer-reviewed journals such as Managerial and Decision Economics . His work includes analyzing food retail competition, reusable container systems in manufacturing, and weekly demand patterns in retail inventory management. He has reviewed for journals including International Journal of Production Research and presented at conferences like the International Scientific Conference Business Logistics in Modern Management. Practical projects include collaborations with retail and consumer goods industries on operational efficiency and organizational structures.

Thilo Kleinمشاهده پروفایل

استاد

• Market Design
• Matching Theory
• Empirical Methods
• +۵ مورد دیگر

Thilo Klein is a Professor of Quantitative Economics at Pforzheim University and a Senior Economist at the ZEW Research Institute in the Market Design Department. He holds a PhD in Business Economics and an MPhil in Operations Research from the University of Cambridge. His research focuses on market design applications in allocation systems, including matching markets for childcare, food donations, environmental subsidies, and microfinance. Key contributions include developing deferred acceptance algorithms for fair childcare assignment and analyzing the impact of market rules on policy outcomes. Education: PhD and MPhil in Economics from University of Cambridge. Prior to academia, he worked at OECD, ILO, and Spandana (India). Funded projects include grants from DAAD, ESRC, Leibniz Association, and German Federal Ministry of Agriculture. Awards include the ZEW Prize for Best Economic Consulting Project. Research emphasizes combining microeconomic theory with empirical methods to design efficient and equitable allocation mechanisms. Notable software contributions include the R package matchingMarkets for structural estimation and algorithm implementation. He also coordinates the KitaMatch platform for childcare allocation solutions. Teaching includes quantitative methods at Pforzheim University and advanced courses at institutions like University of Cambridge. Awards: ZEW Sponsors' Association Prize for Best Economic Consulting Project (202X). Grants: Led projects funded by DAAD, ESRC, Leibniz Association, Bertelsmann Foundation, and German Federal Ministry of Food and Agriculture. Consulting focuses on applying market design principles to public sector challenges. Active in policy briefs for efficient food donation systems and environmental subsidy mechanisms. Software tools include the KitaMatch Toolbox and matchingMarkets package for stable matching analysis.