Resources by carol.reyes.dulong

Advertising and Media Engagement in the United States

Advertising and Media Engagement in the United States

carol.reyes.dulong
Open Dataset
Creators: Matthew Gentzkow, Stanford University and NBER; Jesse Shapiro, Harvard University and NBER; Frank Yang, Stanford University; Ali Yurukoglu, Stanford University and NBER
Publication Date: 2023-11-15
Creators: Matthew Gentzkow, Stanford University and NBER; Jesse Shapiro, Harvard University and NBER; Frank Yang, Stanford University; Ali Yurukoglu, Stanford University and NBER

This collection gathers datasets from advertising platforms, media tracking tools, and auxiliary geographic sources to analyze digital and traditional advertising dynamics in the U.S. It includes detailed Facebook ad campaign records, performance metrics across timeframes, and datasets capturing the effects of ad exposure on consumer behavior. Supplementary files offer geographic and temporal context via zip code–timezone mappings, enabling precise localization and segmentation. Together, these datasets support in-depth analysis of advertising effectiveness, audience targeting strategies, campaign timing, and media consumption patterns across diverse regions and platforms.

Health, Consumption, Geography, and Policy Evaluation in Chilean Households

Health, Consumption, Geography, and Policy Evaluation in Chilean Households

carol.reyes.dulong
Open Dataset
Creators: Jose Ignacio Cuesta, Stanford University; Felipe Gonzalez, Queen Mary University; Juan Pablo Atal, University of Pennsylvania; Cristobal Otero, Columbia University
Publication Date: 2024-01-29
Creators: Jose Ignacio Cuesta, Stanford University; Felipe Gonzalez, Queen Mary University; Juan Pablo Atal, University of Pennsylvania; Cristobal Otero, Columbia University

This collection gathers diverse datasets to support the analysis of health outcomes, consumption behavior, demographic patterns, and policy interventions across Chile. It includes national household surveys such as the EPF (Encuesta de Presupuestos Familiares), administrative health records from IQVIA and AHRQ, geographic grid and map data, and experimental data from field interventions with baseline and follow-up measures. Complementary datasets provide information on population structure (INE), hospitalization trends, chronic disease prevalence, and zip code-level demographics. Spatial datasets covering urban areas like Santiago, Iquique, Valparaíso, and others allow for fine-grained geographic analysis. This integrated data infrastructure enables interdisciplinary research on public health, economic disparities, pharmaceutical access, and the localized impact of social and health policies.

Behavioral Insights from Risk, Social, and Consumer Experiments

Behavioral Insights from Risk, Social, and Consumer Experiments

carol.reyes.dulong
Open Dataset
Creators: Andrew Ellis, London School of Economics; David J Freeman, Simon Fraser University
Publication Date: 2024-08-08
Creators: Andrew Ellis, London School of Economics; David J Freeman, Simon Fraser University

This dataset collection compiles microdata from a series of behavioral experiments conducted both online and in-person, designed to examine risk preferences, social decision-making, and consumer behavior. The studies capture how individuals react to uncertainty, fairness, and purchasing choices under varying conditions. The datasets include variables such as participant age, gender, treatment group, risk decisions, social payoff allocations, and product preference choices. These variables support analyses on the impact of experimental treatments on behavioral outcomes. The collection enables comparative research across experimental contexts and provides valuable insights into psychological and economic responses to incentives, pricing, and social dynamics.

Consumer Expectations and Economic Preferences in Belgium

Consumer Expectations and Economic Preferences in Belgium

carol.reyes.dulong
Open Dataset
Creators: Olivier Coibion, University of Texas-Austin; Dimitris Georgarakos, European Central Bank; Yuriy Gorodnichenko, University of California-Berkeley; Geoff Kenny, European Central Bank; Michael Weber, University of Chicago. Booth School of Business
Publication Date: 2023-11-05
Creators: Olivier Coibion, University of Texas-Austin; Dimitris Georgarakos, European Central Bank; Yuriy Gorodnichenko, University of California-Berkeley; Geoff Kenny, European Central Bank; Michael Weber, University of Chicago. Booth School of Business

This dataset contains microdata from a consumer survey conducted in Belgium as part of a broader study on economic expectations, preferences, and behavior. It includes detailed information on respondents’ employment status, income, housing conditions, job sectors, and economic outlook. The dataset supports analyses of how individuals form expectations about future economic conditions (e.g., GDP growth) and how these expectations influence consumer behavior. Variables also capture demographic characteristics, weighting factors, and data quality indicators, enabling robust quantitative research on household-level economic sentiment and decision-making in a European context.

Economic Expectations and Media Dynamics in the U.S.

Economic Expectations and Media Dynamics in the U.S.

carol.reyes.dulong
Open Dataset
Creators: Charles Angelucci, Massachusetts Institute of Technology; Andrea Prat, Columbia University
Publication Date: 2023-12-06
Creators: Charles Angelucci, Massachusetts Institute of Technology; Andrea Prat, Columbia University

This dataset collection combines microdata from a U.S.-based survey on economic expectations with complementary media-related data to support the analysis of public sentiment, media influence, and journalist activity over time. The survey includes detailed information on respondents’ income, employment, housing, and perceptions of macroeconomic indicators such as GDP growth and inflation. These variables enable in-depth research on how individuals form economic expectations and how those expectations affect decision-making.

In addition, the collection features a longitudinal dataset tracking journalist performance metrics across multiple months and years. These include story counts and journalist-level rankings, allowing researchers to study media output, content dynamics, and exposure to economic news or narratives over time. This integrated structure supports empirical research on the interaction between individual beliefs, media exposure, and macroeconomic behavior.

Loan Decisions and Outcomes in a Field Experiment on Credit Access

Loan Decisions and Outcomes in a Field Experiment on Credit Access

carol.reyes.dulong
Open Dataset
Creators: Gharad Bryan, London School of Economics; Dean Karlan, Northwestern University; Adam Osman, University of Illinois
Publication Date: 2024-05-24
Creators: Gharad Bryan, London School of Economics; Dean Karlan, Northwestern University; Adam Osman, University of Illinois

This dataset collection originates from a randomized field experiment studying loan access and repayment outcomes. It includes borrower-level survey data from multiple rounds (baseline, midline, and endline), treatment assignments, loan performance records, and a loan officer survey. The variables cover firm revenues, borrowing history, employment, predicted repayment outcomes, and treatment status. The datasets enable research on how credit access, predictive tools, and human decision-making interact in small business lending.

Environmental and Socioeconomic Indicators across Indian Districts

Environmental and Socioeconomic Indicators across Indian Districts

carol.reyes.dulong
Open Dataset
Creators: Eyal G. Frank, University of Chicago. Harris School of Public Policy; Anant Sudarshan, University of Warwick: Department of Economics
Publication Date: 2024-06-26
Creators: Eyal G. Frank, University of Chicago. Harris School of Public Policy; Anant Sudarshan, University of Warwick: Department of Economics

This dataset collection brings together harmonized data on environmental, demographic, agricultural, health, and geographic characteristics across India. It includes district- and state-level information on bird habitat overlaps, pharmaceutical sales, livestock counts, water quality, weather patterns, and medical infrastructure, alongside population census data from multiple years. The files also incorporate geographic shapefiles, administrative boundary keys, and classifications such as coastal districts. Together, these files provide a structured, multi-dimensional view of India’s social and ecological landscape across time and space.

Gender and Health Service Access in Rural India

Gender and Health Service Access in Rural India

carol.reyes.dulong
Open Dataset
Creators: Pascaline Dupas, Princeton University; Radhika Jain, University College London
Publication Date: 2024-04-08
Creators: Pascaline Dupas, Princeton University; Radhika Jain, University College London

This data collection compiles survey-based and derived indicators focused on health service utilization, gender disparities, and local governance in India. It includes datasets from audit surveys of hospital patients, household surveys involving childbirth-related care, and surveys of local government leaders (sarpanches). Complementing these are demographic-adjusted estimates of illness incidence and prevalence derived from the Global Burden of Disease study. The datasets are designed to support analyses of gender differences in access to healthcare and regional health burdens across the state of Rajasthan.

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