جست‌وجوی استاد و پژوهشگر

• Nonstationary time series econometrics
• Nonparametric statistics
• Econometric Theory
• +۲ مورد دیگر

Professor Qiying Wang is a faculty member in the School of Mathematics and Statistics at the University of Sydney, holding the rank of Professor. His research focuses on advanced statistical theory and econometrics, particularly in nonstationary time series analysis, cointegrating regression, and asymptotic methods. He has published extensively in top journals such as Econometric Theory and Journal of Econometrics . Research Interests: Nonstationary time series econometrics, nonparametric statistics, econometric theory, local time theory, and self-normalized limit theory. He is a leading expert in nonlinear cointegrating regression, developing methodologies for handling endogeneity and nonstationarity in economic and financial data. Selected Grants: 2016: Nonlinear cointegrating regression with endogeneity (Australian Research Council DP) 2012: Asymptotics in nonlinear cointegrating regression (Australian Research Council DP) Key Contributions: Authored the monograph Limit Theorems for Nonlinear Cointegrating Regression (2015) and pioneered techniques for optimal bandwidth selection in cointegrating models. His work bridges theoretical advancements with practical econometric applications.

Maciej Dudekمشاهده پروفایل

مدرس

• Macroeconomics
• Econometrics
• Public Finance
• +۷ مورد دیگر

Maciej Dudek is a Lecturer II in the Department of Economics at the University of Michigan (LSA College). He holds advanced degrees from Caltech (BS, MS) and MIT (PhD in Economics). His primary affiliations include Vistula University (Professor of Economics, 2013-present), the Polish Academy of Sciences (INE PAN), and the National Bank of Poland (2000-2008). Dudek specializes in macroeconomics, econometrics, and optimal taxation, with a focus on policy analysis and general equilibrium modeling. His research explores topics such as crises, taxation frameworks, and labor income policies. Education: B.S. (Honors) Mathematics, California Institute of Technology (1994) M.S. Applied Mathematics, California Institute of Technology (1995) PhD in Economics, MIT (1999), Thesis: 'Essays on Crises' Habilitation in Economics, Warsaw School of Economics (2010) Research Interests: Dudek's work spans macroeconomic policy design, optimal taxation, and general equilibrium models. Notable contributions include critiques of Mirrlees' taxation framework, analysis of inheritance taxation effects, and modeling of demand-side shocks. His research bridges theoretical insights with practical policy recommendations for institutions like the ECB and NBP. Teaching: Dudek has taught at multiple levels (undergraduate to PhD) across institutions including the University of South Florida, Purdue University, and Qingdao University. Courses include Microeconomics, Macroeconomics, and Public Finance. His teaching evaluations consistently score 4+/5. Professional Activities: Active presenter at conferences (Econometric Society, Society for Nonlinear Dynamics) and former research economist at the National Bank of Poland. He developed Poland's first general equilibrium model emphasizing demand disturbances and expectations.

Eva Janssensمشاهده پروفایل

استادیار

• Econometrics
• Macroeconomics
• Econometric Theory
• +۳ مورد دیگر

Eva Janssens is an Assistant Professor in the Department of Economics at the University of Michigan (since 2024). She holds a PhD from the University of Amsterdam (2022) and previously served as an Economist at the Federal Reserve Board's Macroeconomic and Quantitative Studies section (2022–2024). Her research focuses on econometric theory applied to macroeconomic questions, emphasizing high-dimensional models, earnings dynamics, and heterogeneous agent frameworks. Education: PhD in Economics, University of Amsterdam, 2022 (cum laude) Visiting Scholar, University of Pennsylvania, Fall 2021 Research Interests: Inference in structural and reduced-form models Household earnings dynamics and incomplete markets Nonlinear DSGE model estimation Finite-state Markov approximations for macroeconomic processes Her work bridges econometric methodology with applied macroeconomics, addressing challenges in model complexity and computational efficiency. Awards: CEF Student Prize 2022 (for 'Finite-State Markov-Chain Approximations') Presentations at NBER Conferences (2021–2024) Grants & Collaborations: Co-developed novel estimation frameworks with Sean McCrary and others Research on sectoral crisis transmission supported by Federal Reserve data analysis Labs/Teams: Affiliated with the University of Michigan's Macroeconomics and Econometrics research clusters.

Fang Hanمشاهده پروفایل

دانشیار مدعو

• Econometrics
• Statistical Inference
• Nonparametric Statistics
• +۲ مورد دیگر

Fang Han is Adjunct Associate Professor of Economics at the University of Washington, with joint affiliation in Statistics. He holds a PhD in Biostatistics from Johns Hopkins University and served as Google PhD Fellow during his doctoral studies. His methodological research develops novel statistical tools for dependence measurement, high-dimensional inference, and time series analysis. Research contributions include: Rank-based correlation measures for complex data structures Bootstrap methods for dependence testing Manifold-adaptive statistical techniques Semiparametric regression methods Han serves as Associate Editor for Bernoulli and editorial board member for Dependence Modeling. His NSF-funded work advances statistical learning theory with applications in econometrics and biostatistics.

Jean-Yves Pitarakisمشاهده پروفایل

استاد

• Econometrics
• Predictive Accuracy Testing
• Predictive Regressions
• +۳ مورد دیگر

Professor Jean-Yves Pitarakis is a 0.75 FTE Professor of Economics at the University of Southampton's Department of Economics. He holds a PhD in Economics from Boston University (1995) and has held prior roles at Boston University, Université Catholique de Louvain (CORE), University of Reading, and McGill University. His research focuses on econometric theory and applications, including predictive accuracy testing, model selection, and nonlinear time series analysis. He leads ESRC-funded projects on predictive accuracy and regime switching models. Education: PhD in Economics, Boston University (1995) Prior Positions: Boston University, Université Catholique de Louvain, University of Reading, McGill University His research interests emphasize econometric methodologies such as structural stability testing, threshold models, and predictive regressions. Recent work addresses challenges in nested model comparisons and heterogeneous predictor environments. He has contributed to high-impact journals like Econometric Theory and Journal of Business and Economic Statistics . Grants: ESRC Project (2022-2025) on episodic predictability and endogenous variables Professor Pitarakis is affiliated with the University's Econometrics group, contributing to methodological advancements in addressing economic and financial problems through rigorous statistical frameworks.

Kostas Mouratidisمشاهده پروفایل

مدرس ارشد

• Economic Forecasting
• Monetary Economics
• Macro Finance
• +۳ مورد دیگر

Dr. Kostas Mouratidis is a Senior Lecturer in Economics at the University of Sheffield's School of Economics, where he has been since September 2008. He holds a PhD and MSc from the University of Birmingham. Before joining Sheffield, he worked at the National Institute of Economic and Social Research (NIESR) in London and served as a Lecturer in Finance at Swansea University. He also completed an internship at the European Central Bank's Fiscal Policy Division. His research focuses on economic forecasting, monetary economics, and macro-finance. Key areas include evaluating forecast performance using survey data, analyzing central bank policy decisions, and exploring the risk-taking channel in monetary policy. He is particularly interested in supervising PhD students in macro-finance and the role of financial development in economic growth across business cycles. Teaching responsibilities include modules on Business Finance (addressing exchange rate risk management) and Further Econometrics (focusing on endogeneity and empirical methods). He also mentors MSc students in dissertation writing and academic paper structuring. His research contributions span over two decades, with publications in journals such as Journal of International Money and Finance , Manchester School , and International Journal of Finance and Economics . His work frequently employs advanced econometric techniques like Markov regime-switching models to analyze economic dynamics and policy impacts.

Emily Whitehouseمشاهده پروفایل

مدرس

• Time Series Analysis
• Financial Econometrics
• Asset Price Bubbles
• +۳ مورد دیگر

Dr. Emily Whitehouse is a Lecturer in Economics at the University of Sheffield's School of Economics, where she has been since 2020. Previously, she served as a Lecturer at Newcastle University from 2018 to 2020. She holds a PhD in Economics from the University of Nottingham (2017), an MSc in Economics and Econometrics (2013), and a BSc in International Business, Finance, and Economics from the University of Manchester (2012). Her research focuses on time series and financial econometrics, with particular emphasis on explosive autoregressive processes, real-time monitoring of economic and financial time series, and forecast evaluation. Key areas include detecting asset price bubbles, assessing bubble regimes, and developing methodologies for bubble dating and crash prediction. She is actively involved in supervising graduate research in these domains. Teaching responsibilities include ECN104: Introductory Finance for Economics. While no scientific awards are explicitly mentioned, her work demonstrates significant contributions to econometric theory and financial market analysis. No grants or lab affiliations are detailed in the provided information.

Antonio Rodriguez-Lopezمشاهده پروفایل

دانشیار

• Labor Economics
• International Trade
• Public Policy
• +۶ مورد دیگر

Antonio Rodriguez-Lopez is an Associate Professor in the Department of Economics at the University of California, Irvine, within the School of Social Sciences. He holds a Ph.D. in Economics from UC Berkeley, complemented by an M.A. in Statistics from the same institution and prior degrees from prestigious Mexican institutions. His research focuses on labor economics, international trade, and macroeconomic policies, with particular attention to minimum wage effects, monopsony markets, and globalization impacts. He has published in leading journals like the Journal of Political Economy and European Economic Review. His work frequently examines policy implications of trade liberalization, labor market structures, and employment dynamics in both developed and emerging economies. Key research interests include the interplay between labor markets and international trade, the effects of minimum wage policies, and the role of liquidity in economic activity. Recent work explores city size and monopsony's influence on employment outcomes. He has also contributed to analyzing China's trade impacts on U.S. job flows and Mexico's post-NAFTA wage inequality. Rodriguez-Lopez has received accolades such as the Academic Senate Distinguished Assistant Professor Award for Teaching and has held fellowships from UC MEXUS and the Fulbright Program. His teaching spans graduate courses in international trade, macroeconomics, and econometrics, alongside undergraduate economics principles. Professional service includes leadership roles at UC Irvine's Council on Educational Policy and extensive refereeing for top economics journals. Rodriguez-Lopez has presented his research globally, including at the NBER, World Bank, and institutions across Mexico and Asia.

Matthew C. Hardingمشاهده پروفایل

استاد

• Econometrics
• Machine Learning
• Health Economics
• +۳ مورد دیگر

Matthew C. Harding is a Professor of Economics and Statistics at the University of California, Irvine (since 2016). Previously, he held positions at Duke University (2014–2016) and Stanford University (2007–2014). His research focuses on econometrics, machine learning applications, health economics, and environmental policy. Harding earned his B.A. in Economics and Philosophy from University College London, an M.Phil. from Oxford, and a Ph.D. in Economics from MIT. His work bridges statistical methods with real-world policy analysis, particularly in quantile regression, panel data modeling, and big data analytics. Notable contributions include the Hybrid U-Net model for satellite imagery analysis and studies on food voucher impacts and dynamic pricing in energy markets. Harding advises doctoral students and collaborates with institutions like Ravena Analytics on food waste and water management. His research spans environmental justice, health policy, and technological innovation, emphasizing data-driven decision-making.

Xu Chengمشاهده پروفایل

استاد

• Econometrics
• Macroeconomics
• Finance
• +۳ مورد دیگر

Xu Cheng is a Professor of Economics at the University of Pennsylvania, specializing in econometrics and its applications. She holds academic positions in the Department of Economics within the School of Arts and Sciences. Her research focuses on robust econometric methods addressing limited identification, model misspecification, and high-dimensional estimation. She has held visiting roles at Princeton University and Yale University. Ph.D. in Economics from Yale University (2010) M.S. in Applied Economics from University of Wisconsin-Madison (2005) B.A. in Economics from Peking University (2003) Her research interests span econometric theory, including volatility risk pricing, macro-finance decoupling, and structural VAR models. She has been honored as a Fellow of the Journal of Econometrics and International Association of Applied Econometrics, and received the Kravis Award for teaching (2022 and 2012). Xu serves as Co-editor of Econometric Theory and Associate Editor of several top journals. Her work has been recognized through grants like the Jacobs Levy Equity Management Center Grant (2021–2024). She advises Ph.D. students and has contributed to academic service through editorial roles and conference organization.

Wayne Yuan Gaoمشاهده پروفایل

استادیار

• Econometrics
• Microeconomic Theory
• Network Economics
• +۳ مورد دیگر

Wayne Yuan Gao is an Assistant Professor of Economics at the University of Pennsylvania's Department of Economics, housed in the Ronald O. Perelman Center for Political Science and Economics. He holds a Ph.D. from Yale University (2019) and prior degrees from Duke University (M.A., 2014) and the University of Hong Kong (B.Economics & Finance, 2012). His research focuses on econometrics and microeconomic theory , with a specialization in network economics and structural models . Gao has held visiting roles at Harvard University (2022) and has taught advanced econometrics courses at Penn, including ECON7310 and ECON8300. Research Interests: His work bridges econometric methodology and economic theory, addressing topics like nonparametric identification, dyadic network formation, and informal risk-sharing mechanisms. He emphasizes practical applications of econometric tools to real-world economic structures. Key Awards: 2021 Arnold Zellner Award (Journal of Econometrics) for Nonparametric Identification in Index Models of Link Formation . Exemplary Paper Award (ACM EC'21) for How Flexible is that Functional Form? . Teaching & Grants: Teaches graduate-level econometrics courses and has contributed to research on panel data models and labor income processes. His work often intersects with policy-relevant questions in economic networks and risk-sharing systems. Labs/Teams: Collaborates with interdisciplinary teams at Penn and beyond, focusing on econometric theory and network economics. Active in academic communities via GitHub and Google Scholar profiles.

Khurom Kiyaniمشاهده پروفایل

پژوهشگر ارشد

• Astrophysical Plasma Turbulence
• Human Crowd Dynamics
• Statistical Data Analysis
• +۱ مورد دیگر

Khurom Kiyani is a Senior Research Fellow at the Laboratoire de Physique des Plasmas (École Polytechnique, France) and an Associate Fellow (Visiting Scientist) at the University of Warwick (UK). His interdisciplinary research focuses on statistical analysis of complex dynamical systems across astrophysics, crowd dynamics, and financial markets. Research Interests: Astrophysical Plasma Turbulence : Investigates solar wind turbulence using multi-instrument spacecraft data and Hall-MHD simulations, examining dissipation mechanisms at kinetic scales. Human Crowd Dynamics : Develops optical flow algorithms and multi-camera stereo vision systems for high-density crowd analysis under occlusion challenges. Statistical Data Analysis : Specializes in wavelet transforms (DWT, Stationary Wavelets) for non-stationary signals and scale-invariant processes. Econometrics : Studies scaling laws in high-frequency financial data and extreme event risk modeling using non-Gaussian statistics. His recent publications (2013-2015) primarily address solar wind turbulence physics and computer vision techniques for crowd analysis. Articles demonstrate strong collaborations with institutions including NASA/ESA missions, University Paris-Sud, and Hajj Research Institute. Key Collaborations: Laboratoire de Physique des Plasmas (France): Dr. Fouad Sahraoui, Prof. S. Galtier University of Warwick (UK): Prof. Sandra Chapman, Dr. Kareem Osman University Paris-Sud: Dr. Emmanuel Aldea Hajj Research Institute: Dr. Adnan Gutub

Max Groneckمشاهده پروفایل

دانشیار

• Public Economics
• Labor and Health Economics
• Economics of Aging
• +۴ مورد دیگر

Max Groneck is an Associate Professor at the University of Groningen's Faculty of Economics and Business, Department of Economics, Econometrics & Finance. He holds a Dr.rer.pol. (PhD in Economics) from the University of Cologne. His expertise spans Public Economics, Labor and Health Economics, and Behavioral Economics. Groneck has held roles including Assistant Professor (tenure-track, 2017–2021) and postdoctoral positions at institutions such as the Stockholm School of Economics and the University of Cologne. Research Interests: His work focuses on life cycle models, survival beliefs, welfare analysis, and public finance. Notable projects include studies on marital status and social security redistribution, cognitive biases in survival expectations, and intergenerational transfers in China. Teaching: Groneck teaches courses such as Econometrics for Economics , Estimation and Testing , and Public Economics and Social Policy at both bachelor’s and master’s levels. Grants & Projects: His research has been supported by projects examining demographic change impacts on sectoral prices, optimal pension portfolios, and labor supply dynamics. Collaborations include work with institutions across Europe and China.

Pim Heijnenمشاهده پروفایل

دانشیار

• Environmental economics
• Industrial organization
• Game theory
• +۳ مورد دیگر

Dr. Pim Heijnen is an Associate Professor at the University of Groningen, Faculty of Economics and Business, specializing in Economics, Econometrics & Finance. He holds a Ph.D. in Economics (2007) and M.Sc. in Econometrics (2002), both from the University of Groningen. His research focuses on environmental economics, industrial organization, and applied game theory, with recent work addressing rent-seeking dynamics, consumer search behavior, and environmental policy design. He has contributed to understanding optimal taxation strategies, corporate financing policies, and nonlinear dynamics in environmental systems. Key research themes include: Rent-seeking mechanisms and their macroeconomic impacts Consumer search and information asymmetry in markets Game-theoretic models of environmental regulation and policy Price competition and spatial market structures His articles analyze diverse topics like reversible environmental catastrophes, corporate leverage effects, and collusion detection. He has held roles at the University of Amsterdam (Center for Nonlinear Dynamics in Economics and Finance) and contributed to policy-relevant studies on waste disposal taxes and retail gasoline market competition.

Christian Ewerhartمشاهده پروفایل

استاد

• Game Theory
• Information Economics
• Finance Applications

Christian Ewerhart is a Professor of Information Economics and Contract Theory at the University of Zurich's Department of Economics. He holds a Ph.D. from the University of Bonn (1997) and has held roles at the Boston Consulting Group and the University of Mannheim. His research focuses on game theory, information economics, and finance applications, with notable contributions to contest theory, strategic behavior in auctions, and blockchain economics. He serves as President of the Oligo Society and a member of the UZH Blockchain Center's Steering Committee. Education: Ph.D. in Economics, University of Bonn, 1997 Research Interests: Game Theory: Equilibrium analysis, contest models, and strategic interactions Information Economics: Voluntary disclosure, signaling, and asymmetric information Finance Applications: Currency markets, auction mechanisms, and blockchain systems Publications: Over 50 peer-reviewed articles in journals like Econometrica , Journal of Economic Theory , and Games and Economic Behavior . Recent work explores game-theoretic implications of mathematical conjectures (e.g., Riemann hypothesis) and multi-player contests. Awards: None listed explicitly; however, his contributions to game theory and economics have earned him significant academic recognition. Advising & Grants: No formal student listings provided. Active in interdisciplinary projects, including blockchain economics and financial cooperative dynamics. Involved in central bank policy research (e.g., ECB working papers on repo markets and refinancing operations). Labs/Teams: Leading roles in the Oligo Society and the UZH Blockchain Center, fostering research collaboration in game theory and applied economics.