Showing 17-24 of 273 results

Indonesia Social Protection and Poverty Metrics Dataset

Creators: Abhijit Banerjee, Massachusetts Institute of Technology; Rema Hanna, Harvard Kennedy School; Benjamin Olken, Massachusetts Institute of Technology; Elan Satriawan, Gadjah Mada University and TNP2K; Sudarno Sumarto, SMERU and TNP2K
Publication Date: 2022-11-30
Creators: Abhijit Banerjee, Massachusetts Institute of Technology; Rema Hanna, Harvard Kennedy School; Benjamin Olken, Massachusetts Institute of Technology; Elan Satriawan, Gadjah Mada University and TNP2K; Sudarno Sumarto, SMERU and TNP2K

This dataset collection compiles diverse data sources related to poverty measurement, household-level participation in social assistance programs, and aid distribution in Indonesia. It includes official statistics on provincial poverty thresholds from the national statistics agency (BPS), covering multiple periods and regions. De-identified household survey data from the BSPN program captures demographic characteristics, program awareness, assistance received, and interview metadata, enabling analysis of targeting and delivery effectiveness. Additionally, the collection features survey responses from distribution points for major aid programs such as Rastra and BPNT, documenting the type of distributors, geographic locations, and operational details of aid delivery. These datasets are designed to support empirical research on poverty dynamics, social protection coverage, and policy implementation performance.

U.S. and Global Financial Market Reactions to Monetary Policy

Creators: Yuriy Gorodnichenko, University of California-Berkeley; Tho Pham, University of Reading; Oleksandr Talavera, University of Birmingham
Publication Date: 2022-12-05
Creators: Yuriy Gorodnichenko, University of California-Berkeley; Tho Pham, University of Reading; Oleksandr Talavera, University of Birmingham

This dataset collection integrates detailed data on U.S. monetary policy decisions, media coverage, and high-frequency financial market responses across a variety of global asset classes. It includes parsed FOMC statements and meeting minutes, sentiment and volume metrics from newspaper media coverage, and monetary policy shocks based on Swanson’s event-study methodology. Complementing these are a series of data files containing estimated intraday asset price responses covering currencies (EUR, GBP, JPY), U.S. Treasuries (IEF, IEI), inflation-protected securities (TIPS), gold, and equities, aligned with monetary policy announcement timing. These datasets enable empirical research into the transmission of monetary policy through financial markets, central bank communication, and global asset price dynamics.

Creators: Elisa Macchi, MIT

This dataset collection compiles a range of data sources related to body weight perceptions, demographic characteristics, and obesity prevalence across countries. It includes individual-level experimental and survey data on how people perceive others based on physical appearance and descriptive information, as well as their associated beliefs and attitudes. Additional files provide demographic details, regional obesity rates for the U.S. and Europe, global GDP per capita data, and country-level health indicators from sources like IPUMS DHS and the World Bank. The datasets are suitable for research on health perception, socioeconomic evaluation, and international comparisons in public health.

Creators: Diego Daruich, USC

This collection includes data from two major long-term studies in the United States: the Panel Study of Income Dynamics (PSID) and the National Longitudinal Survey of Youth (NLSY). These datasets follow individuals and families over time to track changes in income, education, employment, and family characteristics.

The data help researchers and policymakers understand how people’s lives develop across generations, such as how early-life conditions, schooling, and job experiences affect income and well-being later in life. The files include information on household income, cost of living adjustments, age and education patterns, and cognitive skill measures. The datasets are widely used to study social mobility, inequality, and the impact of education and economic policy.

U.S. Political Behavior, Social Identity, and Demographic Patterns

Creators: Leonardo Bursztyn, The University of Chicago and NBER; Thomas Chaney, University of Southern California, Sciences Po, and CEPR; Tarek A. Hassan, Boston University, NBER, and CEPR; Aakaash Rao, Harvard University
Publication Date: 2023-12-12
Creators: Leonardo Bursztyn, The University of Chicago and NBER; Thomas Chaney, University of Southern California, Sciences Po, and CEPR; Tarek A. Hassan, Boston University, NBER, and CEPR; Aakaash Rao, Harvard University

This collection compiles datasets from large-scale U.S. surveys, administrative records, and demographic sources to examine political behavior, social identity, and civic engagement. It includes national election studies (such as CCES and Nationscape), implicit association tests (IAT), marriage pattern data, county-level demographics from the census, political donation records, and geographic indicators. These datasets support in-depth analysis of voter preferences, polarization, social attitudes, demographic influences, and regional variation in political and social behavior across the United States.

Advertising and Media Engagement in the United States

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

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.

Consumer Expectations and Economic Preferences in Belgium

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.

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