جست‌وجوی استاد و پژوهشگر

Ariel Pakesمشاهده پروفایل

استاد

• Econometrics
• Industrial Organization
• Economics of Technological Change
• +۳ مورد دیگر

Ariel Pakes is the Thomas Professor of Economics at Harvard University, part of the Faculty of Arts and Sciences and the Department of Economics. He previously held the Charles and Dorothea Dilley Professorship at Yale University and tenured roles at institutions including the University of Wisconsin and the Hebrew University of Jerusalem. His research focuses on industrial organization (I.O.), the economics of technological change, and econometric theory. Pakes has advised notable students who now lead economics departments globally and has received prestigious awards including the Frisch Medal (1986) and election to the American Academy of Arts and Sciences (2002). Education: Pakes earned his Ph.D. in Economics from Harvard University in 1980. His academic journey includes roles as a lecturer at Harvard and positions at the University of Jerusalem. Research Interests: Pakes has pioneered methodologies for analyzing I.O. models, including demand and cost system estimation. Recent work examines AI’s impact on pricing strategies, antitrust policy implications of market dynamics, and healthcare cost structures. His theoretical contributions include simulation estimators and frameworks for dynamic oligopolies. Awards: Frisch Medal (Econometric Society, 1986) Fellow of the Econometric Society (1988) Fellow of the American Academy of Arts and Sciences (2002) Best Graduate Student Advisor Award (Yale University, 1996) Advisory and Grants: Pakes has served on NSF panels, including the Economics Advisory Panel and Presidential Fellow Advisory Board. His consulting work spans government agencies and large firms. He edited the RAND Journal of Economics and co-chaired the AEA Census Advisory Panel. Labs/Teams: Collaborates with NBER as a Research Associate and contributes to interdisciplinary projects like the PNAS issue on 'Science, Technology and the Economy.'

Wooyong Leeمشاهده پروفایل

مدرس

• Econometrics
• Applied Microeconomics
• Applied Economics
• +۳ مورد دیگر

Wooyong Lee is a Lecturer in the Economics Discipline Group at the UTS Business School, University of Technology Sydney. He holds a PhD in Economics from the University of Chicago (2020), an MS in Statistics from the University of British Columbia (2014), and a BA in Economics and Statistics from Korea University (2012). His research focuses on econometrics and applied microeconomics, specializing in panel data methods, difference-in-differences frameworks, and dynamic models. He has developed methodologies addressing spillover effects in staggered DiD designs and partial identification in heterogeneous coefficient models. His work applies to real-world issues like lifecycle earnings dynamics and policy evaluation. Lee teaches econometrics at undergraduate and postgraduate levels and supervises research students. His publications appear in venues such as Statistical Inference for Stochastic Processes and peer-reviewed working papers. Research interests emphasize causal inference techniques, with contributions to handling unobserved heterogeneity and measurement errors in economic data. Ongoing work explores dynamic treatment choice models where treatment decisions respond to outcome shocks, challenging traditional parallel trends assumptions.

Jiti Gaoمشاهده پروفایل

استاد

• Econometrics
• Non- and Semi-Parametric Econometrics
• Time-Series Analysis
• +۳ مورد دیگر

Professor Jiti Gao is a Donald Cochrane Chair in Econometrics & Business Statistics at Monash University's Faculty of Business and Economics. He leads the Department of Econometrics and Business Statistics, specializing in non- and semi-parametric econometrics, time-series analysis, and panel data methodologies. His research focuses on developing statistical models for climate change, energy demand, and financial forecasting. Affiliations: Monash University, Impact Labs Grants: Multiple ARC Discovery Projects (e.g., 2020–2025 on climate-energy time series, 2017–2020 on econometric model building) Collaborations: CSIRO, Yale University, and international partners from China, Norway, and Singapore Research interests include climate econometrics, financial time series, and policy evaluation. Over 136 publications span econometric theory and applications, with recent work on nonlinear trending models and quantile regression. His grants emphasize methodological advancements in time series and panel data analysis. Awards: Not explicitly mentioned, but recognition includes Australian Professorial Fellow status and international research leadership roles. Advising/Grants: Primary Investigator on multiple ARC-funded projects, focusing on climate modeling and financial econometrics Labs/Teams: Part of Monash's Impact Labs and collaborates with global institutions on climate and econometric initiatives

Kai Liuمشاهده پروفایل

دانشیار

• Labor Economics
• Public Economics
• Applied Microeconometrics
• +۱ مورد دیگر

Dr. Kai Liu is a University Associate Professor at the Faculty of Economics, University of Cambridge, and a Fellow at Selwyn College. He earned his Ph.D. in Economics from Johns Hopkins University in 2011. His research focuses on labor economics, public economics, applied microeconometrics, and China's economic development, with specific investigations into wage dynamics, human capital formation, and household decision-making under uncertainty. His research interests span: Labor market dynamics including wage risk, job mobility, and gender wage gaps Public policy analysis in education, healthcare, and family support systems Household behavior under economic uncertainty and policy reforms Human capital investments across the life cycle Economic development challenges in China Recent publications (2023-2025) demonstrate strong focus on education policy impacts, health insurance effects on agricultural investments, and family environment dynamics. His work consistently applies advanced microeconometric methods to evaluate policy interventions and economic behaviors. Dr. Liu currently supervises three PhD students: Shengjuan He, Qianya Xu (researching empirical microeconomics and labor economics), and Shania Mustika (researching labor economics, education economics, and racial relations). He has secured significant research funding including: British Academy grant for 'Capital Market Imperfections, Skill Accumulation, and Inequality' (2024-2026) ESRC grant for 'Demand and Welfare Analysis using Micro-data' (2022-2026) British Academy grant for family policy research (2019-2021)

Martin Pesendorferمشاهده پروفایل

استاد

• Industrial Organization
• Auctions
• Information Economics
• +۳ مورد دیگر

Martin Pesendorfer is a Professor of Economics at the Department of Economics, London School of Economics and Political Science (LSE). He specializes in Industrial Organization, Auctions, and Information Economics, with significant contributions to applied microeconomics. His research focuses on dynamic games, auction mechanisms, and strategic interactions in markets. He holds a PhD in Economics from Northwestern University and teaches advanced courses such as EC313 Industrial Economics and EC536 Economics of Industry for Research Students. Key research areas include the design of auctions, consumer demand modeling, and equilibrium analysis in dynamic settings. His work has been published in top journals like the American Economic Journal: Microeconomics, Econometrica, and the Review of Economic Studies. He has also contributed to practical applications such as analyzing mergers, procurement auctions, and retail pricing strategies. Pesendorfer’s teaching covers topics from industrial economics fundamentals to advanced microeconomic theory. His research spans theoretical and empirical methods, with recent emphasis on equilibrium multiplicity in dynamic games and omitted variable biases in demand models. He maintains an active presence in academic circles, contributing to research centers like STICERD's Economics of Industry Programme.

Myrto Kalouptsidiمشاهده پروفایل

استاد

• Industrial Organization
• International Trade
• Transportation Markets
• +۲ مورد دیگر

Myrto Kalouptsidi is a Professor of Economics at Harvard University. She specializes in Industrial Organization, International Trade, and Transportation Markets. Her research explores industrial policy impacts, global trade dynamics, firm investment patterns in volatile industries, and structural modeling of transportation markets. Education: BA from University of Athens, PhD from Yale University Former faculty at Princeton University Foreign Editor at Review of Economic Studies Research Fellow at NBER and CEPR Notable awards include the Frisch Medal (2022) for her work in Econometrica and the Bodossaki Young Scientist Prize (2021) . She has secured multiple NSF grants, including a CAREER grant in 2019. Her research has been widely recognized in outlets like The Economist, LSE Business Review, and Microeconomic Insights. She advises graduate students and contributes to structural modeling advancements through publications in top journals including American Economic Review, Econometrica, and Review of Economic Studies.

Maria Monica Wihardjaمشاهده پروفایل

استادیار مدعو

• Digital Economy
• Labour Market
• Poverty and Inequality
• +۶ مورد دیگر

Maria Monica Wihardja serves as a Visiting Fellow and Co-coordinator of the Media, Technology and Society Programme at ISEAS–Yusof Ishak Institute while holding an Adjunct Assistant Professor position at the National University of Singapore. Her career bridges academic research and high-impact policy engagement, including former roles as World Bank Economist in the Poverty and Equity Global Practice and senior advisor to Indonesia's Presidential Executive Office on strategic economic reforms. Her educational background features: PhD in Regional Science, Cornell University MPhil in Economics, Cambridge University BA in Applied Mathematics-Economics, Brown University Wihardja's research integrates economic analysis with sociotechnical systems, focusing on digital transformation's impact on labor markets, food security, and democratic processes. She examines how technological disruption creates both opportunities for inclusion and risks of inequality, particularly through studies of platform economies, electoral disinformation, and sustainable agro-food systems. Her methodology combines quantitative econometrics with policy-oriented field research, often leveraging large-scale datasets from government and private sector partnerships. Analysis of her recent publications reveals three dominant research trajectories: (1) Digital economy effects on labor market polarization and inclusion, (2) Food system resilience through agricultural modernization, and (3) Geopolitical dimensions of supply chain reconfiguration. These intersect with her policy engagement in ASEAN economic integration frameworks and Indonesia's G20 presidency initiatives. Her scientific recognition includes: Nikkei Asian Scholar 2023 award Wihardja actively shapes regional discourse through editorial roles at East Asia Forum and Center for Indonesian Policy Studies. Her grant-funded work frequently involves World Bank partnerships and Indonesian government collaborations, particularly on stunting prevention and food policy reforms. Current projects examine deepfake impacts on electoral integrity and sustainable financing mechanisms for green transitions. She leads the Media, Technology and Society Programme at ISEAS, coordinating interdisciplinary research on digital governance and Southeast Asian technology policy. The programme partners with regional think tanks, government agencies, and private sector stakeholders to develop evidence-based policy responses to technological disruption.

Ruonan Xuمشاهده پروفایل

استادیار

• Econometrics
• Applied Econometrics
• Finite Population Inference
• +۳ مورد دیگر

Ruonan Xu is an Assistant Professor in the Department of Economics at Rutgers University, specializing in Econometrics. She joined the department in Fall 2020. Her research focuses on finite population inference, spatial correlation, and causal inference methodologies. Education: Ph.D. in Economics, Michigan State University, 2020 B.A. in Mathematical Economics, Fudan University, 2015 Research Interests: Dr. Xu’s work emphasizes econometric methodologies for addressing complex data structures, including spatial correlation, clustered data, and interference effects. She has contributed to instrumental variable estimation with binary endogenous variables and developed design-based approaches for spatial analysis. Her recent focus includes robustness considerations in econometric models and multidimensional clustering techniques. Publications & Work in Progress: Her published work includes studies in The Econometrics Journal and Economics Letters . Current projects explore distributionally robust average treatment effects and difference-in-differences with interference mechanisms. A working paper on multidimensional clustering has been submitted to the Journal of Econometrics . Advising & Grants: No formal advisees or grants explicitly listed in the provided materials.

• Causal Analysis
• Econometrics
• Machine Learning
• +۷ مورد دیگر

Martin Huber is Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg, Switzerland, within the Faculty of Management, Economics and Social Sciences, Department of Economics. He leads the Chair of Applied Econometrics and maintains an active research profile with numerous publications in top economics and statistics journals. His work bridges theoretical econometrics with practical policy applications across multiple domains including labor, health, and education economics. Professor Huber earned his Ph.D. in Economics and Finance in 2010 and served as Assistant Professor at the University of St. Gallen until 2014. He has conducted research stays at Harvard University (2011/2012) and the University of Sydney (2014 and 2019), establishing an international research network. His academic affiliations include the Committee for Econometrics of the Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), and Centre for European Economic Research (ZEW) Mannheim. Huber's research focuses on data-based causal analysis , machine learning applications in economics , and policy evaluation methods . He specializes in developing and applying statistical and econometric methods for measuring causal effects, with particular emphasis on semi- and nonparametric microeconometrics. His work spans labor economics (gender occupational segregation, maternal labor supply), health economics, education policy, and competition policy (bid-rigging cartels detection). His recent publications (2023-2025) demonstrate a clear trajectory toward integrating machine learning techniques with traditional econometric methods for causal inference. This includes developing frameworks for causal discovery, improving difference-in-differences methods with machine learning, and creating novel approaches for detecting collusion in markets. His 2023 book "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R" (MIT Press) has become a key reference in the field. As an active researcher, Professor Huber directs several research projects including experimental evaluations of gender occupational segregation in the Swiss apprenticeship market. His work combines theoretical rigor with practical policy relevance, often employing experimental and quasi-experimental methods to address questions of causal mechanisms in social and economic phenomena. Through his Chair of Applied Econometrics, Huber supervises Ph.D. students and maintains an active research group focused on advancing causal inference methodologies. His work has significant implications for evidence-based policymaking across multiple sectors, particularly in evaluating the effectiveness of social programs and economic policies.

John Randمشاهده پروفایل

استاد

• Development Economics
• Applied Econometrics
• Impact Measurement
• +۴ مورد دیگر

John Rand is a Professor in Development Economics at the Department of Economics, University of Copenhagen, where he has been employed since 2021. He previously served as Professor (mso) at the Faculty of Social Sciences (2015-2020) and Faculty of Science (2011-2014), Associate Professor (2008-2011), and Assistant Research Professor (2005-2008) at the same institution. He is currently Vice-chair of The Consultative Research Committee for Development Research (FFU) and co-director of the Development Economics Research Group (DERG). Professor Rand's research focuses primarily on development economics, with specific expertise in applied econometrics, impact measurement, industrial economics, and interdisciplinary methods. His work spans topics including climate-smart agriculture, economic policy in developing countries, trade and productivity, and governance issues. He leads multiple externally funded research projects including 'Energy transition and climate-smart agriculture in Vietnam', 'Economic Research and Policy Making in Kenya', and 'Sedentarization and climate change resilience in Nigeria'. His extensive publication record shows a strong focus on empirical research in developing countries, particularly in Africa and Southeast Asia. His recent work demonstrates consistent attention to practical policy implications, with a growing emphasis on climate change adaptation, resource allocation efficiency, and the intersection of economic development with environmental sustainability. His research often employs rigorous quantitative methods to address real-world development challenges. Professor Rand is actively involved in several research networks including the Copenhagen Center for Disaster Research (COPE) as part of the steering group and the UCPH Migration Research Platform. He serves as Head of Studies for Global Development and teaches Development Economics (BA) and Theories, Facts and Current Issues (MSc Global Development). He has presented his research at numerous international conferences including UNU WIDER conferences, Nordic Conference in Development Economics, and various country-specific development forums. His work has been referenced in policy sources and picked up by news outlets, indicating its relevance to current development debates.

• Behavioral Economics
• Empirical Economic Research
• Applied Microeconomics
• +۸ مورد دیگر

Prof. Dr. Hannah Schildberg-Hörisch is a Professor of Economics at the Faculty of Business and Economics, Heinrich Heine University Düsseldorf, specializing in Behavioral Economics and Empirical Economic Research. She serves as Senior Research Fellow at the Max Planck Institute for Research on Collective Goods and leads the Düsseldorf Institute for Competition Economics (DICE). Her research spans self-control, socio-emotional skills, economic preferences, affirmative action, and behavioral interventions, often using experimental methods and longitudinal data. Education: PhD in Economics (University of Munich, 2008), MSc in Economics (University of Mannheim, 2004), Studies in Economics, Political Sciences, and Environmental Science (University of Heidelberg, 2001). Positions: Professor (DICE, HHU Düsseldorf, 2016–present), Senior Research Fellow (Max Planck Institute, 2021–present), Postdoctoral Researcher (University of Bonn, 2009–2016), Federal Ministry of Economics and Technology (Berlin, 2008–2009), Research Assistant (University of Munich, 2004–2008). Her research combines behavioral economics, psychology, and public policy, focusing on self-control stability, socio-economic disparities in child development, and the effectiveness of affirmative action. Recent work examines spatial patterns in preference formation, parenting impacts on skills, and behavioral interventions during public health crises like the COVID-19 pandemic. Key contributions include: Identifying sensitive periods for socio-emotional skill development. Analyzing self-control’s predictive power for life outcomes. Evaluating the interplay between surveillance and behavioral compliance. Investigating fairness perceptions of affirmative action policies.

José António Ferreira Machadoمشاهده پروفایل

استاد

• Econometrics
• Quantile Regression
• Wage Distributions
• +۳ مورد دیگر

José António Ferreira Machado is a Full Professor at the Nova School of Business and Economics, Universidade Nova de Lisboa. He currently serves as Vice-Rector of the university and previously held director roles at the Nova School of Business and Economics (2005-2015) and Angola Business School (2010-2015). His academic career includes consultancy at the Bank of Portugal (1992-2015) and teaching Econometrics, Statistics, and Macroeconomics. Research Interests: Machado's work focuses on Econometrics, Quantile Regression, Wage Distributions, Firm Size Analysis, and Macroeconomic Modeling. His most cited paper (2005) introduced counterfactual decomposition methods for wage distribution analysis. Recent publications examine quantile regression extensions, trade margins, and moment-based statistical inference. His research spans both theoretical and applied economics, with collaborations including J. M.C. Santos Silva and Roger Koenker.

Manuel Alejandro Estefan Davilaمشاهده پروفایل

استادیار

• Development Economics
• Public Finance
• Labor Markets
• +۳ مورد دیگر

Manuel Alejandro Estefan Davila is an Assistant Professor at the Keough School of Global Affairs, University of Notre Dame. His research focuses on development policy in Latin America, particularly public finance, labor markets, and entrepreneurship. He previously held roles as a research scholar at the Institute for Fiscal Studies (London) and the University of Chicago’s Center for the Economics of Human Development, and worked as a policy analyst in Mexico’s Presidency. Education: Ph.D. in Economics, University College London (2019) M.Res. in Economics, University College London (2015) M.P.P., University of Chicago Harris School of Public Policy (2014) B.A., Instituto Tecnológico Autónomo de México (2012) Research Interests: Estefan explores how policies and institutions shape economic outcomes in developing economies. His work integrates microeconometric methods to evaluate interventions in sectors like entrepreneurship, labor markets, and technology adoption. Key themes include the impacts of extortion on businesses, digital training for micro-entrepreneurs, and the effects of export manufacturing on labor markets. Articles Overview: His recent work analyzes extortion’s role in entrepreneurial ecosystems (e.g., Guatemala’s micro-enterprises), the efficacy of digital training programs for SMEs, and the socioeconomic effects of Mexican labor policies. Earlier research examined property taxation and macroeconomic shocks in Mexico. Professional Experience: Policy Analyst, Presidency of Mexico Research Scholar, Institute for Fiscal Studies (London) Labs/Teams: While no specific lab is mentioned, his work collaborates with interdisciplinary teams studying Latin American development challenges.

Chiara Monfardiniمشاهده پروفایل

استاد

• Econometrics
• Labour Economics
• Household Economics
• +۳ مورد دیگر

Chiara Monfardini is a Full Professor of Econometrics at the Department of Economics of the University of Bologna. Her academic discipline is ECON-05/A Econometrics. She holds a Degree in Statistics and Economics from the University of Padova (1992) and a PhD in Economics from the European University Institute (1997). Her career includes positions as an Assistant Professor (2001), Associate Professor (2005), and Full Professor (2017) at the University of Bologna. She is affiliated with the Institute for the Study of Labor (IZA) and CHILD-Collegio Carlo Alberto. As Co-Editor of the Review of Economics of the Household , she contributes to academic publishing. Her research focuses on microeconometrics, simulation-based inference, and applied studies in labor, household, and health economics. Key themes include parental time investments, gender gaps in time use, and the intergenerational transmission of educational choices. She leads projects like MINUTO (MindUsTogether), funded by PRIN2017, exploring mindful parenting interventions and parental engagement via digital tools. Teaching responsibilities include courses such as Econometrics , Microeconometrics , and Advanced Microeconometrics . Her work integrates quantitative methods with policy analysis, addressing issues like early childhood education impacts and voting behavior. Office hours are held on Mondays at 5 PM by appointment.

Manuel Arellanoمشاهده پروفایل

استاد

• Econometrics
• Panel Data Analysis
• Labour Economics
• +۱ مورد دیگر

Manuel Arellano is Professor of Economics at the Center for Monetary and Financial Studies (CEMFI) in Madrid since 1991, with prior appointments at the University of Oxford (1985-89) and London School of Economics (1989-91). A leading econometrician specializing in panel data analysis, his work bridges theoretical econometrics and labor economics applications. He earned his undergraduate degree from the University of Barcelona and Ph.D. from the London School of Economics. Arellano's research focuses on econometric methodology for panel data, particularly dynamic models with heterogeneity. His seminal book Panel Data Econometrics (2003) established foundational frameworks for nonlinear and dynamic panel estimation. Current work extends to distributional analysis of random coefficients and robust inference under uncertainty, maintaining consistent emphasis on labor market applications like unemployment duration and policy evaluation. His publication history reveals a 30-year trajectory advancing panel data econometrics, evolving from specification testing (1987-1995) to sophisticated dynamic and nonlinear models (2003-2014), with persistent focus on practical implementation and labor economics applications. Major honors include: President of the Econometric Society (2014) Foreign Honorary Member of the American Academy of Arts and Sciences (2014) Rey Jaime I Prize in Economics (2012) ISI Highly Cited Researcher status (2010) Fellow of the Econometric Society (2002) No information on student advising or research grants appears in the source materials. Similarly, details about research laboratories or collaborative teams are not documented in the provided texts.