Microdata Analysis Professors and Supervisors | ApplySharif

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Showing 196-210 of 281 supervisors

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TIMOTHY COLLINSView profile

Professor

University of UtahUnited States

Timothy Collins is a Professor at the School of Environment, Society & Sustainability at The University of Utah since 2018. He holds a PhD in Geography from Arizona State University (2005), along with a BA and MA from California State University, Chico (1998, 2000). His research focuses on environmental justice, disaster resilience, climate change impacts, and health inequities, with a particular emphasis on marginalized communities. Key research themes include: 1) Spatial disparities in environmental hazards (e.g., air pollution, flooding, noise pollution), 2) Social vulnerability to disasters (e.g., Hurricane Harvey impacts, Winter Storm Uri), and 3) Mentorship dynamics in undergraduate research programs. His work integrates GIS methodologies with policy analysis to address systemic inequities. Notable contributions include studies on flood risk inequities in the U.S., air pollution disparities at the U.S.-Mexico border, and the mental health impacts of climate-related disasters. His research frequently engages community-based participatory approaches to amplify marginalized voices in environmental policymaking.

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Daniela VidartView profile

Assistant Professor

University of ConnecticutUnited States

Daniela Vidart is an Assistant Professor of Economics at the University of Connecticut's Department of Economics within the College of Liberal Arts and Sciences. Her research focuses on macroeconomics, labor markets, economic history, and development, combining quantitative methods with historical data to analyze human capital accumulation and its impacts on economic growth and labor outcomes. Education includes a Ph.D. and M.A. in Economics from the University of California San Diego (2020 and 2016, respectively), and a B.A. in Economics (first in class) from Universidad del Rosario in Bogotá, Colombia (2014). She has received notable awards such as the Grillo Family Award for Excellence in Research (2022-2023) and the Clive Granger Research Fellowship (2019). Her research interests emphasize understanding mechanisms linking human capital, technological change, and labor market dynamics. Recent work explores electrification's impact on fertility, gendered labor participation trends, and the economics of on-the-job training. Courses taught include Macroeconomic Theory at the Ph.D. level and Intermediate Macroeconomics for undergraduates. Key contributions include analyzing historical economic data to uncover long-term growth patterns and labor market adaptations. Her work bridges macroeconomic theory with empirical microdata, offering novel insights into development processes and structural economic changes.

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Todd SarnstromView profile

Assistant Professor

St. Norbert CollegeUnited States

Todd Sarnstrom is an Assistant Professor of Business Administration at St. Norbert College, affiliated with the Schneider School of Business & Economics and contributing to its Center for Business and Economic Analysis. He holds a Ph.D. in applied economics from Western Michigan University (2016). His research focuses on firm-level foreign direct investment using data on Japanese multinational enterprises and studying hidden immigrant populations via the Public Use Microdata Sample (PUMS). He teaches undergraduate and graduate courses in data analytics, statistics, and business analysis, including BUAD 142, BUAD 228, DATA 202, and BUAD 629. Before academia, Sarnstrom worked in a startup developing polymers and composites, where he contributed to new-product development, production trials, inventory management, and ERP system implementation. His expertise bridges economics, data analysis, and business strategy. No scientific awards are listed, and no advising/grants information is provided. He is actively involved in the College’s academic and research initiatives through the Center for Business and Economic Analysis.

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Simcha BarkaiView profile

Assistant Professor

Boston CollegeUnited States

Simcha Barkai is an Assistant Professor in the Seidner Department of Finance at Boston College's Carroll School of Management, and a Junior Fellow at the University of Chicago Booth School of Business's Stigler Center. His research focuses on firm competition, macroeconomic implications, and asset pricing dynamics, particularly analyzing labor and capital share trends in the U.S. economy. Education : BS, Hebrew University MS, Hebrew University PhD, University of Chicago Research Interests : Decline in labor share of income Corporate profit dynamics Antitrust policy effects Economic concentration trends Impact of mergers and acquisitions His work on labor share decline has been featured in major media including The New York Times , Wall Street Journal , and Bloomberg . Key Contributions : Analyzes how rising corporate concentration impacts economic outcomes, quantifies contributions of M&A to industry concentration, and evaluates antitrust enforcement's macroeconomic effects. Recent work challenges assumptions around intellectual property capitalization's role in labor share trends. Grants & Labs : No explicit grants mentioned, but research leverages U.S. Census microdata and collaboration with institutions like DOJ datasets. Active in policy-oriented research teams through Stigler Center affiliations.

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Shuya YangView profile

Lecturer

University of MelbourneAustralia

Dr Shuya Yang is a Lecturer in Property at the Melbourne School of Design, University of Melbourne. Her research focuses on applying econometric modelling to housing economics, climate transition risks, and large-scale data analysis. She holds a PhD in Econometrics from Monash University, with prior experience as a Postdoctoral Researcher at the e61 Institute. Education: PhD in Econometrics, Monash University Masters in Applied Econometrics and Applied Finance, Monash University Research Interests: Shuya specializes in using microdata to address macroeconomic questions, particularly in housing markets and climate-related financial risks. Her work leverages longitudinal datasets like Australian property sales and the Business Longitudinal Analysis Data Environment (BLADE). Scientific Awards: None listed. Advising & Grants: No specific grants or student advising details provided. She may be involved in research collaborations, though specifics are not mentioned. Labs/Teams: No affiliated labs or teams explicitly stated in the profile.

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Talitha FeenstraView profile

Professor

University of GroningenNetherlands

Prof. Talitha Feenstra is a Professor of Pharmaco-economics at the University of Groningen, holding dual affiliations with the Faculty of Science and Engineering and the Faculty of Medical Sciences. She is also a Senior Researcher at the National Institute for Public Health and the Environment (RIVM) and a Health Economist at the University Medical Center Groningen (UMCG). Her work focuses on health technology assessment (HTA), economic evaluation of precision medicine, and patient-level modeling. She has contributed to national guidelines for economic evaluations in healthcare and serves on committees for dementia research and the Dutch National Health Care Institute. Her research interests include HTA methodologies, diabetes mellitus, mental health outcomes, and the economic implications of chronic diseases. Recent projects include developing models for mental health policy evaluation (EVANEMENT) and optimizing pharmaceutical care for chronic heart failure (COHESION). She teaches courses on pharmacoeconomics at both the bachelor and master levels and has led projects funded by ZonMW, IMI, and the Dutch National Healthcare Institute. Prof. Feenstra’s work bridges academia and policy, with publications in journals like Value in Health and Journal of Diabetes and its Complications . Her current projects aim to address labor cost estimation in HTA and improve the sustainability of mental healthcare interventions.

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Michael HödlView profile

Researcher

University of ViennaAustria

Michael Hödl is a Researcher at the Department of Economic and Social History, University of Vienna. He served as a Praedoc assistant from 2020 to 2024 and is currently a research assistant in the project 'Die verstaatlichte Industrie' (State-Owned Enterprises), funded by ÖBAG, under PIs Clemens Jobst and Peter Eigner. His education includes a BSc in Technical Physics (TU Vienna), BA in Philosophy (University of Vienna), Mag. phil. in History and Physics Education, MA in Ethics, and a PhD in Historical and Cultural Studies (2025). His dissertation focused on Vienna's economic development using historical microdata. Research interests: Economic history of Vienna (19th-20th centuries), industrialization patterns, urban economic structures, business history, and post-1945 state-owned enterprises in Austria. He contributes to interdisciplinary projects analyzing economic geography and agglomeration dynamics. Current projects include investigating state-owned enterprises' role in Austria's post-war economy. His work bridges historical analysis with contemporary economic frameworks.

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Liang PengView profile

Professor

Pennsylvania State UniversityUnited States

Liang Peng is a Professor of Risk Management at the Smeal College of Business, Pennsylvania State University. His expertise spans real estate economics, financial markets, and risk management. He holds a Ph.D. in Economics from Yale University (2002) and prior degrees from Renmin University, including a BS in Applied Mathematics (1994). Research focuses on commercial and residential real estate markets, including asset pricing, systematic risk, policy impacts, and market dynamics. His work combines econometric analysis with microdata to explore topics like housing market segmentation, investment strategies, and macroeconomic linkages. Recent publications (2020–2025) highlight studies on office space segmentation, China’s anti-corruption policies on luxury real estate, and the divergence of U.S. house prices. He also examines the predictability of real estate risk, capital flows in mortgage markets, and the integration of commercial real estate markets. No scientific awards are explicitly listed. His advising and grants sections remain unreported in the provided text. Liang’s work contributes to understanding market efficiency, policy implications, and investment behaviors in real estate sectors.

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Stuart McIntyreView profile

Professor

University of StrathclydeUnited Kingdom

Stuart McIntyre is a Professor of Economics at the University of Strathclyde and Associate Dean (Research Impact) at the Strathclyde Business School. His research focuses on applied economics, regional economies, labor markets, and public policy, with an emphasis on policy-relevant analysis. He is a Fellow of the Office for National Statistics and a Research Associate at the ONS-funded Economic Statistics Centre of Excellence. Stuart's work contributes to UN Sustainable Development Goals related to economic growth and sustainable cities. He holds extensive teaching experience, currently instructing Macroeconomics and the International Business Environment on the Strathclyde MBA. His research has been funded by the ESRC, Nuffield Foundation, and other organizations. Notable projects include the Blue Triangle Recovery Service Evaluation (2025–2026) and Transforming Forecasting Capacity in Government (2023–2028). His research interests span regional nowcasting, mixed-frequency econometric models, and the socio-economic impacts of policy interventions. Recent work includes analyzing homeworking trends via job advertisements and reconciling GDP estimates for the US and UK. Stuart actively participates in workshops and advisory roles, such as the Regional Research Institute and advising the Department for Work and Pensions. Key impacts include improving policy analysis through novel macroeconometric methods, with applications in forecasting and regional development. His publications emphasize timely economic indicators and structural analysis, contributing to both academic and governmental decision-making.

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José Ramón Hilera GonzálezView profile

Professor

University of AlcaláSpain

José Ramón Hilera González is a Full Professor at the University of Alcalá, affiliated with the Computer Science Department. His research focuses on accessibility in software, e-learning systems, and mobile technologies. He leads the PMI (Intelligent Mobile Platforms) and TIFyC (Information Technologies for Training and Knowledge) research groups, emphasizing inclusive design, semantic web applications, and educational technology standards. He earned his Doctorate in Computer Science from the University of Alcalá in 1997 with a thesis on methodological contributions to document management in software development. His work spans over 30 years, addressing accessibility challenges in web applications, mobile platforms, and virtual learning environments. Notable projects include IESAMI (an intelligent system for academic monitoring of students with disabilities) and contributions to metadata standards like ISO/IEC 19788 MLR. His research interests include model-driven development, semantic interoperability, and adaptive learning systems. He has published extensively on accessibility evaluation tools, mobile app usability, and inclusive education frameworks. Recent work explores AI-driven adaptation of educational resources and accessibility in emerging technologies like MOOCs and video games. Dr. Hilera advocates for accessibility integration in early stages of software design, emphasizing collaboration between developers and educators. His contributions have impacted policy-making in e-inclusion and virtual campus accessibility across Europe and Latin America.

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Anne BrockmeyerView profile

Associate Professor

University of OxfordUnited Kingdom

Anne Brockmeyer is an Honorary Associate Professor at University College London (UCL) and serves as the Global Lead for Tax Data Analytics at the World Bank. She co-leads the DaTax Lab, focusing on taxation, firms, and jobs using microdata. Previously, she was Research Director at TaxDev, part of the Institute for Fiscal Studies. Her research bridges development economics and public finance, emphasizing taxation’s impact on firms and development. She holds a Future Leaders Fellowship (2021) from UK Research & Innovation for her work analyzing administrative tax data from over 15 countries. Her policy work and initiatives include the World Bank Tax Conference and collaborative projects with the Center for Economic Policy Research (CEPR) as an Affiliate. No specific articles are listed here, but her research agenda centers on leveraging cross-country tax data to address development challenges. Grants and collaborations are integral to her work, though specific grants are not detailed in the provided text.

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Thiess BüttnerView profile

Professor

University of OxfordUnited Kingdom

Prof. Thiess Büttner holds the Chair of Public Finance at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) since 2010. Previously, he was CESifo Professor of Public Finance at LMU Munich (2004–2010) and head of the Public Sector department at the ifo Institute. He has extensive international experience, including research stays at the University of Kentucky and Oxford. He serves on the Academic Advisory Board of Germany’s Federal Ministry of Finance and chairs the German Stability Council’s independent advisory board. Education : Bachelor/Master in Economics and International Business (Universities of Göttingen and Constance, 1986–1993) Doctoral degree (University of Constance, 1997) Postdoctoral habilitation (University of Mannheim, 2003) Research Interests : His work focuses on tax competition, fiscal federalism, and empirical analysis of taxation. Recent topics include EU fiscal rules compliance, VAT fraud prevention, and energy policy. Methodologies include microdata analysis, quasi-experiments, and policy evaluation. Articles Trends : His 15 most recent publications (2022–2025) analyze EU fiscal governance, tax policy design, energy efficiency incentives, and VAT evasion. Key themes include balancing fiscal rules at national/EU levels, evaluating rebate programs for sustainable consumption, and designing tools to combat tax fraud. Labs/Teams : He leads the Public Finance Chair team at FAU, collaborating with institutions like the ifo Institute and the German Stability Council.

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Krisztina MolnarView profile

Associate Professor

Leibniz Institute for Financial ResearchGermany

Krisztina Molnar is an Associate Professor at the Norwegian School of Economics (NHH), specializing in macroeconomics and monetary policy. Her research focuses on expectation formation, household consumption, saving decisions, and the integration of big microdata into economic models. She collaborates extensively with institutions like Banca d'Italia and the London School of Economics (LSE). Key research areas include identifying preference shocks through natural disasters, analyzing the perils of price stabilization under agent learning, and exploring income shocks' effects on household behavior. Her methodological innovations include textual analysis and survey data integration in econometric models. Notable contributions include work on the Handbook of Monetary Economics and the Journal of Monetary Economics. She has presented groundbreaking research such as the HANKSSON framework at the 2024 SED conference. Despite no explicit awards listed, her work has been incorporated into leading academic curricula, including Woodford's syllabus. Current projects involve interdisciplinary approaches to microdata and preference shocks, with ongoing collaborations on the effects of earthquakes on household savings and the implications of learning dynamics in monetary policy design.

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Eleni BardakaView profile

Associate Professor

North Carolina State UniversityUnited States

Eleni Bardaka is an Associate Professor in the Department of Civil, Construction, and Environmental Engineering (CCEE) at North Carolina State University (NCSU). Her research focuses on transportation planning and economics, with a particular emphasis on geospatial analytics to assess the social, economic, and spatial impacts of large-scale transportation investments. She explores how transportation network connectivity influences socioeconomic outcomes in central and peripheral regions, and examines travel demand patterns of disadvantaged populations regarding public transit, microtransit, and micromobility systems. Dr. Bardaka teaches courses including CE 250 (Sustainable Infrastructure), CE 401/501 (Transportation Systems Analysis), and CE 701 (Advanced Spatial Analysis and Econometrics). Her work integrates quasi-experimental methods, spatial analysis, and econometric modeling to evaluate policy implications and urban dynamics. Key research themes include transit-induced gentrification, equitable microtransit systems, and the causal effects of transportation infrastructure on businesses and neighborhoods. Her recent publications analyze urban rail impacts on commercial viability, low-income household travel behaviors, and the spatial heterogeneity of transit investments over time. Ongoing projects address autonomous vehicle effects on residential location choices and the ethical integration of AI in equitable mobility solutions. Bardaka’s research bridges transportation engineering with urban sociology, emphasizing policy-relevant outcomes for inclusive urban development. No scientific awards or grants are explicitly mentioned in the provided texts. She advises no listed students but collaborates extensively with interdisciplinary teams on infrastructure equity and smart cities initiatives.

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Alex ShpenevView profile

Researcher

University of PennsylvaniaUnited States

Alex Shpenev is a demographer and sociologist serving as an Associate Scholar and Senior Data Research Scientist at the Populations Studies Center at the University of Pennsylvania. He holds a PhD from the University of Pennsylvania and an MA in Statistics from the Wharton School. His work bridges sociology, public health, and data science, with a focus on global health challenges. Education: PhD, University of Pennsylvania MA in Statistics, Wharton School, University of Pennsylvania Dr. Shpenev's research interests include health behavior, non-communicable diseases, social determinants of health, social networks, and socioeconomic inequality. He investigates how social norms influence health practices, particularly sanitation behaviors in India. His work combines demographic analysis with behavioral science to understand health disparities and inform intervention strategies. His recent publications focus on sanitation decision-making in India, examining gender roles, social influence, and network dynamics. Earlier work includes demographic analysis of Russian health and fiscal systems. Collectively, his research demonstrates a strong commitment to using data-driven approaches to address public health challenges in both high- and low-resource settings. Scientific Awards: No awards listed in the provided text. Dr. Shpenev teaches the MBDS elective Statistical Reasoning for Behavioral Science and mentors students through global health programs. He is involved in longitudinal studies in India and Malawi, focusing on social networks and health behavior. His projects often involve interdisciplinary collaboration with sociologists, economists, and public health experts. While no specific grants are listed, his role as co-investigator in major studies indicates active grant-supported research. He is affiliated with the Center for Global Health at Penn and contributes to the Penn Social Norms Group. His work involves close collaboration with research teams conducting field studies in India, analyzing both qualitative and quantitative data to assess social norms and health behaviors.

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