Showing 25-32 of 272 results
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.

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.

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.

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.

Operational Dynamics and Behavioral Monitoring in the Congolese Traffic Police System

Operational Dynamics and Behavioral Monitoring in the Congolese Traffic Police System

carol.reyes.dulong
Open Dataset
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.

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

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

carol.reyes.dulong
Open Dataset
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.

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

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

carol.reyes.dulong
Open Dataset
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.

Elite Backgrounds, Career Paths, and Promotion Patterns in the Chinese Communist Party (CCP)

Elite Backgrounds, Career Paths, and Promotion Patterns in the Chinese Communist Party (CCP)

carol.reyes.dulong
Open Dataset
Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao
Publication Date: 2023-03-01
Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao

This dataset collection contains detailed individual-level data on members of the Chinese Communist Party (CCP), primarily from the 19th Central Committee and related leadership bodies. The data include variables on personal demographics (e.g., gender, ethnicity, education), career trajectories (e.g., office tenures, geographic placements, sectoral experience), and elite backgrounds (e.g., military service, red/technocratic family origins, bureaucratic ties). Several datasets focus on promotion outcomes and covariates relevant for regression analysis, while others record coded biographical information from public sources such as official CCP documents and media reports. Variables span institutional affiliations, cadre rank levels, prior leadership experience, and exposure to national vs. local governance. This structure enables analysis of determinants of elite selection and promotion within the CCP hierarchy.

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