Showing 25-32 of 272 results

Behavioral Insights from Risk, Social, and Consumer Experiments

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.

Loan Decisions and Outcomes in a Field Experiment on Credit Access

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

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

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.

Information on LPG Access, Distribution Networks, and Administrative Classifications in India

Creators: Prabhat Barnwal, Michigan State University
Publication Date: 2024-10-18
Creators: Prabhat Barnwal, Michigan State University

This data collection brings together administrative records, survey responses, and classification files related to access to Liquefied Petroleum Gas (LPG) in India. It includes district- and state-level identifiers, household- and business-level survey data, and delivery agent records. The variables capture LPG consumption patterns, distribution coverage, delivery timelines, and implementation phases of LPG-related programs. Supplementary files provide state and district codes, census identifiers, and mappings across multiple administrative datasets, enabling harmonized geographic reference and program tracking.

California Urban, Financial, and Geographic Information (1920–1940)

Creators: Sarah Quincy, Vanderbilt University
Publication Date: 2024-09-16
Creators: Sarah Quincy, Vanderbilt University

This collection compiles historical data on California cities spanning primarily 1920 to 1940, integrating demographic, geographic, economic, and financial information to support research on urban development, banking, and social inequality during the interwar period. It includes census-based city-level summaries from 1920, 1930, and 1940; GIS files mapping the presence or absence of Bank of America branches; historical banking records detailing branch openings, balance sheets, and building and loan associations; city-level housing and property value assessments; per capita income indicators; and geographic crosswalks linking census enumeration districts across time. Together, these data enable analyses of financial access, institutional expansion, and the effects of the Great Depression across diverse California communities.

Operational Dynamics and Behavioral Monitoring in the Congolese Traffic Police System

Creators: Raul Sanchez de la Sierra, University of Chicago and National Bureau of Economics Research; Kristof Titeca, Antwerp University ; Stan (Haoyang) Xie, University of Chicago; Aimable (Amani) Lameke, Marakuja Kivu Research; Albert Malukisa Nkuku, University Catholique du Congo
Publication Date: 2024-09-20
Creators: Raul Sanchez de la Sierra, University of Chicago and National Bureau of Economics Research; Kristof Titeca, Antwerp University ; Stan (Haoyang) Xie, University of Chicago; Aimable (Amani) Lameke, Marakuja Kivu Research; Albert Malukisa Nkuku, University Catholique du Congo

This dataset bundle offers a granular and multi-layered view into the operations, enforcement behavior, and financial dynamics of the Congolese traffic police across three distinct branches. The data include daily, hourly, and event-level logs of traffic stops, allegations, income, and quotas at the station–intersection level. Observational surveys, station-level descriptive indicators, and randomized treatment rosters allow tracking of quota imposition, officer behavior, and revenue patterns under varying policy and enforcement conditions. Additional linkage files connect street-level incidents with specific enforcement units, enabling relational analysis. This compilation supports both experimental and descriptive evaluations of institutional behavior, accountability mechanisms, and state-society interactions in urban governance contexts.

Evaluation Data from a Conditional Cash Transfer Program and Educational Outcomes

Creators: Paul Goldsmith-Pinkham, Yale University; Peter Hull, Brown University; Michal Kolesar, Princeton University
Publication Date: 2024-09-13
Creators: Paul Goldsmith-Pinkham, Yale University; Peter Hull, Brown University; Michal Kolesar, Princeton University

This dataset collection supports the evaluation of a Conditional Cash Transfer (CCT) program designed to improve school attendance and learning outcomes. It includes baseline, endline, and monitoring surveys at the household and school levels, along with administrative records on program delivery, stratification data for experimental assignment, and dropout tracking. Student-level files contain assessment scores and structured profiles, while school visit records detail infrastructure and teacher inputs. Additional datasets document treatment assignment, outcomes across waves, and contextual variables such as household income and school participation. The data are structured for longitudinal analysis and impact evaluation through randomized and stratified designs at the student, household, and school levels.

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