جست‌وجوی استاد و پژوهشگر

Ben Jannمشاهده پروفایل

استاد

• Statistical Methods
• Data Visualization
• Social Inequality
• +۲ مورد دیگر

Ben Jann is a Professor and current Department Head at the University of Bern in the Department of Social Sciences . His methodological expertise spans statistical software development, decomposition analysis, and data visualization. Role: Department Head Institution: University of Bern Department: Department of Social Sciences Research Interests : Jann specializes in creating Stata modules for advanced statistical analysis, including geospatial mapping (geoplot), robust regression (robreg10), and inequality decomposition (oaxaca-blinder methods). His substantive work examines social inequality through economic and sociological lenses, analyzing how living costs and taxation systems impact income distribution in Switzerland. He also investigates educational transitions and gender disparities in STEM occupational choices through longitudinal studies like TREE2. Recent Publications Trends : Jann’s 15 most recent articles (2025-2023) demonstrate his focus on statistical software development for social science applications. Key contributions include methods for marginal odds ratios (2023), two-level model variance decomposition (2025), and list experiment analysis (2025). His empirical work connects statistical methodology to pressing social issues like gender wage gaps (2021) and teacher content knowledge in developing countries (2021).

Joachim Vothمشاهده پروفایل

استاد

• Cultural Economics
• Long-Run Growth
• Asset Market Volatility
• +۵ مورد دیگر

Joachim Voth is the UBS Foundation Professor of Economics and Scientific Director of the UBS Center for Economics in Society at the University of Zurich. His research focuses on Cultural Economics, Long-Run Growth, Asset Market Volatility, and the interplay between history and contemporary economic phenomena. He holds a Ph.D. from UCLA and has held visiting positions at institutions including Stanford and NYU. Research Interests : Voth’s work bridges historical analysis with modern economic challenges. Key themes include the impact of cultural factors on economic outcomes, the role of historical institutions, and the application of novel data sources (e.g., historical narratives, visual datasets) to understand societal trends. His recent projects analyze cultural convergence via high school yearbook portraits and the legacy of medieval anti-Semitism in Nazi-era violence. Publications : Over 50 peer-reviewed articles and three books, including Lending to the Borrower from Hell (2014) and Prometheus Shackled (2013). His work frequently combines economic theory with historical evidence, such as linking British industrialization to colonial slave wealth or explaining WWII resistance patterns through Allied bombing and radio propaganda. Grants & Awards : Supported by the UBS Foundation, European Research Council, and National Science Foundation. He is a frequent commentator in venues like VoxEU and The Economist , and his research has been featured in podcasts and documentaries. Advising : Supervised 10+ doctoral students now at top institutions like UCLA, NYU, Stanford, and the Norwegian School of Economics.

• Economics
• Circular Economy
• Sustainability
• +۵ مورد دیگر

Lopez Luciano serves as an Assistant Professor at EHL Hospitality Business School, part of the University of Applied Sciences and Arts Western Switzerland (HES-SO) in Lausanne, Switzerland. His primary academic focus spans economics with specialized expertise in circular economy, sustainability, and hospitality management. He teaches core courses in Microeconomics and Macroeconomics to hospitality business students. Dr. Lopez holds a BSc HES-SO in Hospitality and Hospitality Professions from EHL Hospitality Business School. His educational background provides him with both theoretical and practical knowledge in the hospitality sector, which informs his research approach. His research interests center on the intersection of economic principles and sustainable business practices within the hospitality industry. Lopez investigates how circular economy principles can be effectively implemented in hotels beyond basic '3Rs' (Reduce, Reuse, Recycle) practices. His work demonstrates that guests respond more positively to 'Rethink' and 'Redesign' approaches that fundamentally transform hotel processes and infrastructure. Additionally, he has made significant contributions to development economics, particularly examining the relationship between official development assistance (ODA) and tourism demand, as well as the economic returns on bilateral aid for donor countries like Switzerland. His econometric expertise is evident in his work on Granger causality in panel datasets and its application to economic growth and environmental impact analysis. Lopez's publication record shows consistent scholarly output with a focus on high-impact topics in hospitality economics. His recent work demonstrates a clear trajectory connecting economic theory with practical applications in sustainability and international development. The integration of econometric methods with hospitality management issues represents a distinctive feature of his research approach. Regarding academic mentorship, while specific students are not listed in available documentation, Lopez appears to be actively engaged in guiding research within his areas of expertise. His work with colleagues like Florent Girardin on circular economy in hospitality suggests collaborative supervision of research projects. Though specific grant information isn't provided, his research on Swiss ODA and tourism demand likely involved funded projects given the extensive data collection requirements. While no specific laboratories or research centers are explicitly mentioned, Lopez appears to be part of research teams focused on sustainable hospitality practices and economic development. His collaborations with researchers across different institutions suggest participation in broader research networks examining the economic dimensions of sustainability in the hospitality sector.

Michael Wolfمشاهده پروفایل

استاد

• Nonparametric Inference Methods
• Multiple Testing Procedures
• Financial Econometrics
• +۴ مورد دیگر

Michael Wolf is a Professor of Econometrics and Applied Statistics at the University of Zurich's Department of Economics, where he has been since 2005. He holds a Vordiplom in Mathematics from the University of Augsburg (1991), an MSc in Statistics from Stanford University (1995), and a PhD in Statistics from Stanford (1996). His research focuses on nonparametric inference methods, multiple testing procedures, financial econometrics, and large-dimensional covariance matrices. He has contributed to influential work on covariance matrix estimation, portfolio optimization, and statistical methodology. Wolf has served as an Associate Editor for journals including the Annals of Statistics (2004–2007), Statistics and Probability Letters (2014–2016), and the Journal of Financial Econometrics (2019–2022). His academic career includes roles at institutions like UCLA, Universidad Carlos III, and Universitat Pompeu Fabra, where he advanced from Assistant to Associate Professor before joining UZH. His research explores resampling techniques, financial markets analysis, and statistical methods for handling high-dimensional data. Notable contributions include the development of shrinkage-based covariance matrix estimators and their applications in portfolio management. He collaborates with researchers like Olivier Ledoit on nonlinear shrinkage methods and maintains software packages like covShrinkage for covariance matrix estimation. Wolf advises students on thesis topics in econometrics and maintains active roles in professional associations such as the American Statistical Association and the Institute of Mathematical Statistics. His work bridges theoretical statistics and applied finance, addressing challenges in modern portfolio theory, risk management, and statistical inference.

• Energy Economics
• Labor Economics
• Econometrics
• +۵ مورد دیگر

Weber Sylvain is an Associate Professor at the Geneva School of Management, part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). His academic work focuses on energy economics, labor economics, and econometrics, with particular expertise in discrete choice experiments and statistical analysis using Stata, R, and Qualtrics. His research interests span several critical areas of contemporary economic policy. In energy economics, he investigates carbon taxation, residential heating demand, and transportation energy consumption. His labor economics research focuses on cross-border workers, minimum wage impacts, and labor market dynamics. He has developed methodological expertise in panel data analysis, structural equation modeling, and discrete choice experiments. His recent publications show a strong focus on climate policy effectiveness, with several 2023-2024 publications analyzing carbon taxation, decarbonization pathways, and energy efficiency investments. His work often combines rigorous econometric analysis with policy relevance, frequently examining the interaction between economic behavior and environmental policy. His research has been applied across multiple significant projects including the TEXTS project on solar green roofs (2023), the DECARB project on policy instruments for decarbonization (2024), and several studies on minimum wage impacts in Geneva. Weber Sylvain collaborates extensively with researchers across Swiss institutions, particularly with colleagues at the University of Geneva and other HES-SO schools. His work often addresses practical policy questions while maintaining strong methodological rigor. He teaches courses in Business Economics, Forecasting, and Microeconomics at both bachelor's and master's levels at the Geneva School of Management, contributing to the HES-SO Master in Business Administration program.

• Econometrics
• Time Series Analysis
• Stata Programming
• +۶ مورد دیگر

Christopher F. Baum is a prominent economist affiliated with the Department of Economics at Boston College (85% appointment) and the Centre of Excellence for Science and Innovation Studies at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden (15% appointment). He received his terminal degree in Economics from the University of Michigan in 1977 and has maintained an active research career spanning over five decades. His professional presence includes Twitter ( @cfbaum ) and Bluesky ( @Kitbaum.bsky.social ). Dr. Baum's research spans several key areas in economics and econometrics, with particular emphasis on time series analysis, macroeconomic uncertainty, international finance, and Stata programming methodology. His early work focused on exchange rate volatility, trade flows, and monetary policy transmission, while more recent research addresses labor economics (particularly refugee integration), pandemic modeling (COVID-19 impact analysis), and environmental economics. He has made significant contributions to econometric methodology, especially in developing and implementing advanced techniques in the Stata statistical software package. His publication record shows a clear evolution from theoretical econometrics to applied policy-relevant research. Recent work demonstrates increasing focus on contemporary issues including refugee economics, pandemic impacts, and environmental health outcomes. His methodological contributions remain central to his work, with numerous publications on Stata implementation of advanced econometric techniques. Dr. Baum maintains an extensive collaborative network, with frequent co-authorship relationships with researchers including Hans Lööf, Andreas Stephan, Mustafa Caglayan, Jesús Otero, and Dorothea Schäfer. His work appears in both specialized econometrics journals and broader economics publications, reflecting the interdisciplinary nature of his research contributions.

Blaise Mellyمشاهده پروفایل

استاد

• Econometrics
• Labor Economics
• Empirical Microeconomics
• +۴ مورد دیگر

Blaise Melly is a Professor of Econometrics and Head of the Department of Economics at the University of Bern. He also serves as an Associate Editor of the Journal of Business and Economic Statistics . His research focuses on econometric methods, labor economics, and empirical microeconomics, with a strong emphasis on quantile regression techniques and their applications in policy analysis. Key research interests include panel data analysis, counterfactual analysis, treatment effects, and wage gap studies. He has developed influential Stata modules (e.g., QRPROCESS) and contributed to software tools for quantile regression. His work addresses issues like public vs. private sector wage gaps, informal labor markets, and policy evaluation using advanced statistical methodologies. Melly’s articles span methodological advancements (e.g., fast algorithms for quantile processes) and applied analyses (e.g., gender wage gaps, public sector wage dynamics). He actively contributes to the academic community through editorial roles and software development.

Matteo Pinnaمشاهده پروفایل

پژوهشگر

• Public and Political Economy
• Mental Health
• Behavioural Economics
• +۱ مورد دیگر

Matteo Pinna is a postdoctoral researcher at ETH Zurich's Center for Law & Economics and founder of Safespace Research, a mental health technology venture. His academic foundation includes a Ph.D. in Economics from ETH Zurich, an M.Phil. in Economics from the University of Bologna, and a B.S. in Economics, Markets and Institutions from the same institution. His educational background: Ph.D. in Economics, ETH Zurich M.Phil. in Economics, University of Bologna B.S. in Economics, Markets and Institutions, University of Bologna Pinna's research bridges Public and Political Economy with Mental Health through Behavioural and Experimental Economics. His work investigates how media exposure shapes political decisions and health behaviors, particularly during crises like the Covid-19 pandemic, while also developing innovative methodological tools for economic analysis. His entrepreneurial initiative Safespace Research applies these insights to student mental health support. His publication record reveals a strong focus on media-politics-health intersections, with high-impact studies on Fox News' effects on elections and vaccine uptake, plus significant methodological contributions to data visualization. This work combines rigorous econometric analysis with real-world policy implications, reflected in coverage by major media outlets including The New York Times and The Atlantic. Pinna actively contributes to academic discourse as a referee for journals including Information Economics and Policy and the Stata Journal. His leadership of Safespace Research demonstrates a commitment to translating research into practical mental health solutions, where his team develops AI-assisted tools for early intervention in student well-being crises.

• Applied Microeconomics
• Microeconometrics
• Labor Economics
• +۸ مورد دیگر

Mattia Albertini is a Post-Doctoral Researcher at the Institute for Economic Research (IRE) within the Faculty of Economics at Università della Svizzera italiana (USI). He previously completed his Ph.D. at the Institute of Economics (IdEP), USI, and participated in the Swiss Program for Beginning Doctoral Students in Economics. He holds a Master of Science in Economics with a minor in Data Science from USI and a Bachelor in Economics from the University of Pavia. Bachelor in Economics, University of Pavia Master of Science in Economics (minor in Data Science), Università della Svizzera italiana Ph.D. in Economics, Università della Svizzera italiana Swiss Program for Beginning Doctoral Students in Economics, Swiss National Bank His research focuses on applied microeconometrics with applications in health, labor, public, urban, and environmental economics. A recurring theme in his work is the spatial dimension of economic outcomes, including residential integration, real estate market dynamics, and geographic proximity to borders or hazards. He integrates data science techniques, particularly programming in Python and STATA, to develop tools for empirical analysis and reproducible research. The collection of articles reflects a strong trend in applied econometrics, causal inference, and spatial analysis. His work spans health economics (e.g., benzodiazepine prescribing), labor and urban economics (e.g., migration, job accessibility), and environmental and insurance economics (e.g., natural hazard impacts). Methodologically, he engages with difference-in-differences, event study designs, spatial modeling, and text analysis, often building or applying computational tools to address research questions. He has contributed to teaching at both the Bachelor's and Master's levels, particularly in microeconomics, macroeconomics, and data-intensive courses such as Textual Analysis and Spatial Data for Economists. Teaching Assistant, Microeconomics A (Bachelor) Teaching Assistant, Macroeconomics B (Bachelor) Teaching Assistant, Textual Analysis and Spatial Data for Economists (Master) Mattia Albertini is actively involved in open science, sharing code for econometric methods, data visualization, and application development (e.g., a gluten-checking app) on GitHub. His interdisciplinary approach combines economic theory, statistical modeling, and computational tools to investigate real-world policy-relevant questions.