جست‌وجوی استاد و پژوهشگر

Harald Friedrich Hans Volker Sigmar Uhligمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• Financial Economics
• +۷ مورد دیگر

Harald Uhlig holds the Bruce Allen and Barbara Ritzenthaler Professorship at the University of Chicago Department of Economics. He is a leading expert in macroeconomics, monetary economics, and financial economics with a focus on dynamic stochastic general equilibrium models, Bayesian econometrics, and economic policy analysis. Ph.D. in Economics, University of Minnesota (1990) Diplom in Mathematics, TU Berlin (1985) His research spans business cycles, growth theory, financial crises, and economic policy, particularly analyzing monetary-fiscal interactions, sovereign debt dynamics, and the impact of financial markets on macroeconomic stability. He has pioneered methods in vector autoregressions and numerical solution techniques for economic models. The 15 most recent articles show a focus on cryptocurrency economics, sovereign debt crises in monetary unions, fiscal stimulus effects, and financial health economics. Subfields include DSGE modeling, asset pricing, and policy analysis under uncertainty. Frank P. Ramsey Prize (2005) Fellow of the Econometric Society (2003) Alfred P. Sloan Fellowship (1989-1990) Fulbright Scholarship (1985-1986) He has advised 21 PhD students across Tilburg University, Humboldt University Berlin, and University of Chicago. Grants include NSF awards for macroeconomic risk analysis and INET funding for research on economic fragility.

Taro Mienoمشاهده پروفایل

دانشیار

• Precision Agriculture
• Water Resource Management
• Groundwater Economics
• +۷ مورد دیگر

Taro Mieno is an Associate Professor in the Department of Agricultural Economics at the University of Nebraska-Lincoln, specializing in precision agriculture and water resource economics. His work bridges agricultural policy, spatial econometrics, and environmental sustainability. University: University of Nebraska-Lincoln Department: Agricultural Economics Academic Rank: Associate Professor Research Interests: Precision agriculture and variable rate technologies Groundwater economics and drought resilience On-farm experimentation and data-driven decision making Agricultural policy and environmental externalities Machine learning applications in agronomic optimization Soil-water interactions and resource management Email: tmieno2@unl.edu

James Cloyneمشاهده پروفایل

استاد

• Empirical Macroeconomics
• Monetary Economics
• Fiscal Policy
• +۵ مورد دیگر

James Cloyne is Professor of Economics at the University of California, Davis, and a Research Associate of the NBER, Research Fellow at CEPR, IFS and CESifo. He joined UC Davis in 2016 after five years as Senior Research Economist at the Bank of England and earlier roles as economic policy adviser at the UK Cabinet Office. Education: Ph.D. in Economics, University College London, 2011 MSc (Distinction) in Economics, University College London, 2005 B.A. (Honours) in Philosophy, Politics & Economics, Keble College, University of Oxford, 2004 Research focus: Empirical macroeconomics, monetary and fiscal policy transmission, household and corporate finance, and economic history. His work combines narrative identification, micro-level administrative data and modern macro-econometric techniques to quantify how taxes, interest rates and house prices affect households, firms and aggregate activity. Recent publications analyse the efficacy of tax changes at the zero lower bound, the distributional consequences of corporate tax reforms, and the role of mortgage market notches in identifying intertemporal substitution elasticities. A recurrent theme is the interaction between household debt and macroeconomic stabilization policies. Awards & recognition: Economic Journal Referee Prize, Royal Economic Society, 2013 Distinguished Young Affiliate Prize, CESifo Institute, 2011 Outstanding Teaching Award, UCL (2007-2011, multiple years) W.M. Gorman Scholarship, UCL, 2005 At UC Davis he teaches undergraduate and graduate courses in macroeconomics, monetary and fiscal policy, and quantitative macro analysis. He maintains active research grants and collaborative projects with the NBER, CEPR, IFS and CESifo networks, but no doctoral advisees are listed in the supplied material.

Stephen Jenkinsمشاهده پروفایل

استاد

• Income Inequality
• Poverty Dynamics
• Labour Market Economics
• +۷ مورد دیگر

Professor Stephen Jenkins is a leading expert in Economic and Social Policy at the London School of Economics and Political Science (LSE) since 2011, with a focus on inequality , poverty dynamics , and applied econometrics . He has held leadership roles including Head of the Department of Social Policy (2016-2019, 2023-2024) and coordinates the Global Inequalities Observatory at LSE’s International Inequalities Institute. Education: BSc in Economics, University of Otago (1974-1977) PhD in Economics, University of York (1983) His research interests span: Analysis of income distribution, redistribution via taxation and social security Income mobility and poverty dynamics Measurement errors in survey and administrative data Survival analysis and limited dependent variable models Recent research trends emphasize: Top-income inequality using tax and survey data Labour market volatility and income risk Policy impacts on inequality and poverty Statistical methods for income distribution analysis Scientific awards and honors : Presidency of three major global associations: IARIW (2006-08), ECINEQ (2021-23), ESPE (1998) Distinguished Fellow of the New Zealand Association of Economists (2019) Research Fellow at IZA, Bonn (since 2000) Editorial leadership roles: Journal of Economic Inequality (2014-17), The Stata Journal (current) Advising and grants : Supervises doctoral research in inequality, poverty, and econometrics Contributed to high-impact policy reports for UK DWP, OECD, and New Zealand Treasury REF2021 Impact Case Study: Better measurement of income inequality Member of scientific advisory boards for IAB, WIFO, and Motu Labs and teams : Coordinator of the Global Inequalities Observatory at LSE Key member of LSE’s Department of Social Policy and International Inequalities Institute Collaborates with institutions including IZA, Motu, and IAB

• Statistics
• Sampling Theory
• Quantitative Methods
• +۳ مورد دیگر

Prof. Dr. Karlheinz Fleischer is a full professor at Philipps University of Marburg, where he holds the Chair of Statistics within the Department of Business Administration. He leads the Statistics research group (AG Fleischer) and maintains office hours by appointment during lecture periods. His primary research focuses on: Statistical sampling theory and survey methodology Data fusion techniques and multivariate analysis Quantitative methods in economics and finance Statistical estimation techniques and distribution theory Computational statistics and simulation methods An analysis of his 15 most recent publications (1993-2000) reveals consistent focus on statistical theory and applications: 73% concern sampling/estimation methods, 20% focus on financial/econometric applications, and 7% address computational statistics. Common themes include ratio estimation, survey methodology, and distribution theory with applications ranging from stock market analysis to industrial optimization. He leads a research team including Dr. Karl-Heinz Schild (retired 2024), Vladlena Prysyazhna (research associate), Robert Scherf (scientific staff), and Ute Bendix (secretary). The group offers courses in descriptive statistics, econometrics, and statistical programming using R at both bachelor's and master's levels.

Andrea Ichinoمشاهده پروفایل

استاد

• Labour Economics
• Economics of Education
• Economics of the Family
• +۷ مورد دیگر

Andrea Ichino is a Full-time Professor in the Department of Economics at the European University Institute (EUI) in Florence, Italy. He previously held positions at the University of Bologna, Bocconi University, and the EUI, where he was a Jean Monnet Fellow. His research focuses on Labour Economics, Education Economics, Family Economics, and Microeconometrics. His work addresses topics like intergenerational mobility, gender norms, judicial efficiency, and policy impacts on education and labour markets. Affiliations: EUI, University of Bologna (on leave), Research Fellowships at CEPR, IZA, and CESifo. Education: PhD in Economics from MIT (1990), Laurea in Economics from Bocconi University (1985). Research Interests: Ichino examines socio-economic policies, including childcare effects, taxation, and education systems. His recent work analyzes cognitive impacts of daycare, regional wage disparities, and pandemic economic strategies. He emphasizes causal inference and experimental methods in his analyses. Publications: Over 40 peer-reviewed articles in top journals like the Journal of Political Economy, American Economic Review, and Journal of Labor Economics. Recent work includes studies on multi-cutoff RD designs and pandemic policy implications. Awards: EALE Fellowship, CEPR Research Fellowship, and grants from the Unicredit Foundation for education research. Advising & Grants: Supervised over 40 PhD students across institutions. Received grants for projects on education policy, judicial productivity, and intergenerational mobility. Active in policy discussions on tax systems, wage equality, and public sector reforms. Labs/Teams: Collaborates with research clusters at EUI on topics like civic engagement and judicial efficiency. Leads projects on educational tracking systems and labour market dynamics.

• Survival Analysis
• Nonparametric Regression
• Semiparametric Regression
• +۴ مورد دیگر

Ingrid Van Keilegom is a Full Professor at the Faculty of Economics and Business (FEB) at KU Leuven. She is a member of the LISS – KU Leuven Institute of Sports Science and serves as a program director for the POC Master in Statistics. Senior academic staff member of FEB Council and Campus Council Observer in Faculty of Science Council Member of LStat General Assembly Her research focuses on Survival Analysis and Nonparametric Regression , with expertise in: Dependent Censoring Cure Models Measurement Error Correction Quantile Regression Multivariate Statistical Inference Causal Surrogacy Metrics Recent publications emphasize copula-based methods, quantile regression for censored data, and applications to biomedical and economic forecasting. Key projects include instrumental variable approaches for endogeneity in cure models, bankruptcy prediction via machine learning, and measurement error modeling in multivariate settings. Notable affiliations: Centre for Efficiency and Productivity Analysis Collaborations in pharmaceutical statistics and actuarial science

Yinqiu Heمشاهده پروفایل

استادیار

• High-dimensional statistical inference
• Large-scale data analysis
• Mediation pathway analysis
• +۵ مورد دیگر

Yinqiu He is an Assistant Professor in the Department of Statistics at the University of Wisconsin-Madison. They hold affiliations with the School of Computer, Data & Information Sciences and the Data Science Institute at Columbia University (2021-2022 postdoc). Their research focuses on developing statistical methodologies for high-dimensional and complex data, with applications in genomics, metabolomics, and network analysis. Key areas include mediation pathway analysis, asymptotic theory for U-statistics, and functional connectivity modeling. Education includes a B.S. in Statistics from the University of Science and Technology of China (2016) and a Ph.D. in Statistics from the University of Michigan-Ann Arbor (2021), advised by Professors Gongjun Xu and Xuming He. They were awarded the ProQuest Distinguished Dissertation Award (2022) and received multiple travel grants from the Institute of Mathematical Statistics and ASA. Teaching includes core Ph.D. courses like STAT 849 (Regression Analysis) and applied courses like STAT 456 (Multivariate Statistics). Current mentoring includes MS student Yuhan Zheng (now pursuing UW-Madison Ph.D.) and Xiangyi Liao (Ph.D. in Educational Psychology). Research outputs include foundational work on adaptive U-statistics testing frameworks and scalable methods for large-scale genomic data analysis. Active in methodological contributions to biostatistics, their work bridges statistical theory and computational efficiency. Recent projects involve dynamic functional connectivity estimation from fMRI data and latent space modeling in heterogeneous networks. GitHub repository 'Adaptive-U-stats' hosts open-source implementations of high-dimensional testing algorithms developed in their research.

Bas Jacobsمشاهده پروفایل

استاد

• Public Economics
• Optimal Taxation
• Welfare Economics
• +۷ مورد دیگر

Prof. Bas Jacobs is a Full Professor of Public Economics at the School of Business and Economics, Vrije Universiteit Amsterdam since 2022. Previously, he held the Sijbren Cnossen Chair at Erasmus University Rotterdam from 2018. His research spans public finance, optimal taxation, welfare economics, macroeconomics, human capital theory, and labor economics. He is a research fellow at the Tinbergen Institute and CESifo, and serves on advisory boards for institutions like the Norwegian Center of Taxation and the International Institute for Public Finance. Education: PhD in Economics from the University of Amsterdam (2002). Collaborations include work with prominent economists like Robin Boadway, James Heckman, and Albert Jan Hummel. Research interests focus on taxation design, fiscal policy impacts, environmental taxation, and education policy. Notable recent work addresses optimal capital taxation, trade policy under Trump, and fiscal sustainability in aging societies. Ancillary roles include advisory positions at the Norwegian Center of Taxation, ING Pensioenfonds, and columnist for EW Magazine . Active in public policy debates via media contributions (BNR, MeJudice). Grants and advising: Extensive involvement in policy design, including taxation reforms and pension fund advisement. No specific grants mentioned but active in multiple institutional collaborations. Labs/teams: Not explicitly mentioned, but collaborates widely with institutions like the Tinbergen Institute and CESifo.

Yudong Chenمشاهده پروفایل

استادیار

• Changepoint Detection
• High-dimensional Statistics
• Robust Statistics
• +۴ مورد دیگر

Yudong Chen is an Assistant Professor in the Department of Statistics at the University of Warwick, starting September 2024. Previously, he was an LSE Fellow (2023–2024) and a postdoctoral researcher at the London School of Economics. He holds a PhD in Statistics from the University of Cambridge (2023), with a thesis on High-dimensional Online Changepoint Detection, supervised by Richard J. Samworth and Tengyao Wang. His research focuses on changepoint detection, high-dimensional statistics, robust methods, and machine learning. Education: PhD in Statistics, University of Cambridge (2023) MA & MMath in Mathematics, University of Cambridge (2018) BA in Mathematics, University of Cambridge (2018) Teaching: University of Warwick: Module leader for ST420 Statistical Learning and Big Data (2024/25) LSE: Taught ST202/6 Probability, ST447 Data Analysis, and ST449 Artificial Intelligence His research interests span statistical methodologies including online algorithms, robust statistics, and spatial models. He has published in top journals like the Journal of the American Statistical Association and presented at venues such as the IMS Annual Meeting. Awards include the LSE Class Teacher Award (2023) and the Smith–Knight Prize (2020). Grants: Worked on EPSRC-funded research on 'Change-point analysis in high dimensions' at LSE. Labs/Teams: Engaged in collaborative projects on online changepoint detection and statistical methodologies.

• Econometrics
• Agricultural Economics
• Resource Economics
• +۳ مورد دیگر

Zheng Li is an Assistant Professor in the Department of Agricultural and Resource Economics at North Carolina State University. His research focuses on econometric methodologies with applications in agricultural economics, resource management, and policy analysis. He holds expertise in nonparametric estimation, quantile regression, and structural econometric modeling. Key research interests include analyzing agricultural production risks, evaluating policy impacts on housing markets, and developing advanced statistical techniques for mixed data types. His work bridges econometric theory with practical applications in environmental, urban, and transportation sectors. Recent publications explore topics such as lung cancer detection via biomedical sensing technologies, ridesharing platform incentives, and pandemic effects on real estate markets. Methodologically, his contributions span kernel-based specification tests, bootstrap methods for heavy-tailed data, and monotonicity-constrained estimation techniques. No scientific awards or formal advisees are listed. His research often intersects with interdisciplinary challenges, reflecting a commitment to innovative solutions in applied economics and data science.

Sharon P. Kaneمشاهده پروفایل

استادیار

• Economic Impact Analysis
• Community Development
• Applied Economics
• +۵ مورد دیگر

Sharon P. Kane is an Assistant Professor in the Department of Financial Planning, Housing and Consumer Economics at the University of Georgia . As an applied economist, her work focuses on economic impact analysis , community development , and econometric analysis . She teaches courses such as FHCE 2100E Introduction to Consumer Economics and FHCE 3100 Consumer Decision Making , emphasizing the family as a producing and consuming unit and exploring systematic departures from rational decision-making. Education: PhD in Agricultural and Applied Economics from University of Georgia MS in Economics from University of Kentucky BS in Economics from University of Tennessee Chattanooga Research Interests span applied economics, economic impact assessment, and community development. Her work bridges agribusiness , consumer economics , and policy analysis , with a focus on econometric modeling and statistical tools. Recent articles analyze Georgia's agricultural industry, pandemic effects on farming, and transportation economics. Scientific Awards: None listed. Advising: No student names provided. She has over a decade of experience in the mortgage banking industry and worked as an economist for a Fortune 500 corporation.

Mark Robertsمشاهده پروفایل

استاد

• Industrial Organization
• International Trade
• Firm Dynamics
• +۴ مورد دیگر

Mark Roberts serves as Professor of Economics at Pennsylvania State University and Director of the Federal Statistical Research Data Centers (RDC), overseeing critical infrastructure for confidential federal data access. His academic affiliation centers within the Department of Economics, where he conducts research on industrial dynamics and international trade. Roberts' research focuses on micro-level firm behavior , examining how R&D investment, export exposure, and market structure interact to influence productivity. Key themes include developing economy industrial evolution (particularly China), Swedish manufacturing dynamics , and long-term innovation impacts . His methodology emphasizes granular data analysis to uncover patterns in firm entry/exit and productivity spillovers. Analysis of his 15 most recent publications (2013-2025) reveals dominant economic research trajectories, with 14 articles concentrated in industrial organization and international trade. The sole outlier—a 2023 pediatric medicine paper—contrasts sharply with his core economic scholarship, suggesting possible co-authorship with another researcher sharing his name. His work consistently bridges theoretical economic models with empirical micro-data validation. As RDC Director, Roberts manages secure data facilities enabling high-impact social science research. His leadership connects academic inquiry with federal statistical resources, facilitating studies on business dynamics through integrated data systems as highlighted in his 2014 publication.

• Applied Microeconomics
• Health Economics
• Education Economics
• +۴ مورد دیگر

Gregor Pfeifer is a Senior Lecturer in the School of Economics at the University of Sydney, affiliated with CESifo and IZA. Previously, he was a Senior Research Officer at University College London's Department of Economics. His research focuses on Health, Education, and Public Economics, emphasizing applied microeconometrics for policy evaluation. He holds a Ph.D. from Saarland University. **Education**: Ph.D., Saarland University (Germany). **Research Interests**: Applied Microeconomics, with a focus on causal inference in Health, Education, and Public Policy contexts. His work explores topics like school smoking bans, fuel price policies, and gender wage expectations. **Grants**: Received funding from the Baden-Wuerttemberg Stiftung (€118k, 2017–2019) for STEM education research, the German Research Foundation (€17k, 2017–2018) for school tracking effects, and seed grants for junior researcher networks. **Media**: His work on school smoking bans and gender wage expectations has been covered in outlets like *The Sunday Times* and *Frankfurter Allgemeine Zeitung*. **Affiliations**: Serves as an Associate Editor at *Empirical Economics*. Active in policy evaluation, synthetic control methods, and labor market dynamics.

David Ubilavaمشاهده پروفایل

دانشیار

• Commodity Markets
• Price Analysis
• Conflict and Political Violence
• +۲ مورد دیگر

Dr. David Ubilava is an Associate Professor in the School of Economics at the University of Sydney, affiliated with the Faculty of Arts and Social Sciences. He holds a PhD in Agricultural Economics from Purdue University (2010) with research focusing on agricultural markets, commodity prices, and the socioeconomic impacts of climate variability and political conflict. His work examines how environmental factors and market dynamics influence food security and social stability in developing regions. Research interests center on: Price analysis and forecasting in commodity markets Climate shocks and agricultural adaptation strategies Political violence and conflict economics Economic development in vulnerable regions Publications demonstrate consistent focus on climate-economy interactions, with recent work examining El Niño impacts on global commodity markets and post-harvest conflict dynamics. Research consistently integrates econometric modeling with development policy applications. Awards & Honors: Quality of Research Discovery Award (2025) Research Collaboration Award, Faculty of Arts and Social Sciences (2024) Teaching Excellence Award, Faculty of Arts and Social Sciences (2017) Currently advises doctoral candidate Gilliane Angela on emerging Asian economies and serves as associate editor for the American Journal of Agricultural Economics (since 2022) and co-editor of Food Policy (since 2018). Research funding includes ARC Discovery Projects on political conflict and food security.